WO2021197296A1 - 辅助阅读的方法、装置、存储介质及电子设备 - Google Patents

辅助阅读的方法、装置、存储介质及电子设备 Download PDF

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Publication number
WO2021197296A1
WO2021197296A1 PCT/CN2021/083833 CN2021083833W WO2021197296A1 WO 2021197296 A1 WO2021197296 A1 WO 2021197296A1 CN 2021083833 W CN2021083833 W CN 2021083833W WO 2021197296 A1 WO2021197296 A1 WO 2021197296A1
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WO
WIPO (PCT)
Prior art keywords
user
pronunciation
reading
sentence
listening
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PCT/CN2021/083833
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English (en)
French (fr)
Inventor
徐利民
陈宇飞
张姣姣
Original Assignee
托普朗宁(北京)教育科技有限公司
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Publication of WO2021197296A1 publication Critical patent/WO2021197296A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/16—Sound input; Sound output
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
    • G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
    • G10L25/60—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination for measuring the quality of voice signals
    • G—PHYSICS
    • G11—INFORMATION STORAGE
    • G11C—STATIC STORES
    • G11C7/00—Arrangements for writing information into, or reading information out from, a digital store
    • G11C7/16—Storage of analogue signals in digital stores using an arrangement comprising analogue/digital [A/D] converters, digital memories and digital/analogue [D/A] converters 

Definitions

  • This application relates to the technical field of language learning, in particular to a method, device, computer-readable storage medium, and electronic equipment for assisting reading.
  • this application provides a method, device, storage medium and electronic equipment for assisting reading, which displays and plays the text to be read sentence by sentence, and hides the current sentence after the current sentence is played.
  • the user repeats the current sentence and records the user
  • the user’s repeating pronunciation is evaluated.
  • By playing the text to be read sentence by sentence and allowing the user to repeat it it helps to improve the user’s participation and learning effect. Hiding the current sentence after it is over can prevent the user from referring to the current sentence displayed when repeating it, which helps improve the user’s listening and speaking skills.
  • by evaluating the user’s repeating pronunciation it can help users learn and master more specifically Learning Content.
  • the present application provides a method for assisting reading, including a repetition mode, where the repetition mode includes: displaying and playing the text to be read sentence by sentence; hiding the current sentence after the current sentence is played; recording user repeating Pronunciation; Among them, the user repeating pronunciation is the voice of the user repeating the current sentence; and comparing the demonstration pronunciation with the user repeating pronunciation to obtain the repeating evaluation result of the user repeating pronunciation.
  • the repeating mode further includes: prompting the user when the repeating evaluation result is that the user's repeating pronunciation fails.
  • the repeating mode further includes: when the repeating evaluation result is that the user's repeating pronunciation fails, recording the user's repeating pronunciation again to obtain the repeating pronunciation; and Compare the demonstration pronunciation with the repetition pronunciation to obtain the repetition evaluation result of the repetition pronunciation.
  • the repetition mode further includes: when the number of recording times exceeds the preset first threshold value and the evaluation result of the last repetition is that the corresponding repetition pronunciation fails, a selection pop-up window is provided for the user to choose; where , The selection pop-up window includes options to skip the current sentence and record again.
  • the reading mode includes: displaying the text to be read, and highlighting the current sentence sentence by sentence; recording the user's pronunciation; wherein the user's pronunciation is the voice of the user reading the current sentence; And compare the demonstration pronunciation with the user's reading aloud pronunciation to get a reading evaluation result of the user's reading aloud pronunciation.
  • the reading mode further includes: when the reading evaluation result is that the user's reading aloud fails, recording the user's reading aloud pronunciation again to obtain the pronunciation again; and Compare the model pronunciation with the pronunciation again to get the evaluation result of the pronunciation again.
  • the reading mode further includes: when the number of recordings exceeds a preset second threshold and the evaluation result of the last reading is that the corresponding reading pronunciation fails, a selection pop-up window is provided for the user to choose; wherein, The selection pop-up window includes options to skip the current sentence and record again.
  • the listening and reading mode includes: displaying the text to be read, playing sentence by sentence and highlighting the current sentence; recording the user's listening and reading pronunciation; wherein the user's listening and reading pronunciation is the user listening Read the pronunciation of the current sentence; and compare the demonstration pronunciation with the user's listening and reading pronunciation to obtain the listening and reading evaluation results of the user's listening and reading pronunciation.
  • the listening and reading mode further includes: when the listening and reading evaluation result is that the user's listening and reading pronunciation fails, recording the user's listening and reading pronunciation again, Obtain the re-listening and reading pronunciation; and compare the demonstration pronunciation with the re-listening and reading pronunciation to obtain the re-listening and reading evaluation result of the re-listening and reading pronunciation.
  • recording the user's listening and reading pronunciation again includes: playing the current sentence again; and re-recording the user's listening and reading pronunciation.
  • the listening-reading mode further includes: when the number of recording times exceeds the preset third threshold and the last listening-reading evaluation result is that the corresponding listening-reading pronunciation fails, a selection pop-up window is provided for the user to choose ; Among them, the selection pop-up window includes options for skipping the current sentence and recording again.
  • a silent reading mode is also included, where the silent reading mode includes: displaying the text to be read and highlighting the current sentence.
  • the silent reading mode further includes: playing the text to be read; and pausing the playing of the text to be read.
  • a listening mode is further included, where the listening mode includes: displaying the text to be read, playing the text to be read sentence by sentence, and highlighting the current sentence.
  • the listening mode further includes: displaying a playback progress bar according to the content duration of the text to be read.
  • the present application also includes a retelling mode, where the retelling mode includes: playing the text to be read sentence by sentence; after playing the current sentence, recording the user's repeating pronunciation; wherein the user repeating pronunciation is the user repeating the current sentence Voice; and compare the demonstration pronunciation with the user's retelling pronunciation to obtain the evaluation result of the retelling of the user's repeating pronunciation.
  • the retelling mode further includes: when the retelling evaluation result is that the retelling of the pronunciation fails, recording the user’s repeating pronunciation again to obtain the retelling of the pronunciation; And compare the demonstration pronunciation with the re-repetition pronunciation to obtain the re-repetition evaluation result of the re-repetition pronunciation.
  • recording the user's repeating pronunciation again includes: playing the current sentence again; and re-recording the user's repeating pronunciation.
  • the paraphrase mode further includes: when the number of recordings exceeds the preset fourth threshold and the evaluation result of the last paraphrase is that the corresponding paraphrase has failed, a selection pop-up window is provided for the user to select; wherein, The selection pop-up window includes options to skip the current sentence and record again.
  • it further includes: switching the current mode to another mode.
  • it further includes: obtaining a user level based on user information; and formulating an evaluation standard based on the user level.
  • the user information includes the user's age or the user's nationality.
  • the present application after the evaluation standard is formulated, it further includes: adjusting the evaluation standard according to the comprehensive evaluation result of the user within a preset time period.
  • the present application provides a device for assisting reading, including a repetition module, wherein the repetition module includes: a first display unit for displaying and playing the text to be read sentence by sentence; and a hiding unit, Used to hide the current sentence after playing the current sentence; the first recording unit is used to record the user repeating the pronunciation; where the user repeating pronunciation is the voice of the user repeating the current sentence; and the first comparison unit is used to compare and demonstrate the pronunciation Repeat the pronunciation with the user to obtain the repeat evaluation result of the user's repeated pronunciation.
  • a reading module is further included, where the reading module includes: a second display unit for displaying the text to be read and highlighting the current sentence sentence by sentence; and a second recording unit for recording the user's pronunciation ;
  • the user's reading aloud is the voice of the user reading the current sentence; and the second comparison unit is used to compare the demonstration pronunciation with the user's reading aloud to obtain a reading evaluation result of the user's reading aloud.
  • the listening and reading module includes: a third display unit for displaying the text to be read, playing sentence by sentence and highlighting the current sentence; and a third recording unit for recording The user’s listening and reading pronunciation; among them, the user’s listening and reading pronunciation is the voice of the user’s listening and reading current sentence; and the third comparison unit is used to compare the demonstration pronunciation with the user’s listening and reading pronunciation to obtain a listening and reading evaluation of the user’s listening and reading pronunciation result.
  • a silent reading module is further included, where the silent reading module includes: a fourth display unit for displaying the text to be read and highlighting the current sentence.
  • a listening module is further included, where the listening module includes: a fifth display unit for displaying the text to be read, playing the text to be read sentence by sentence and highlighting the current sentence.
  • the present application further includes a retelling module, where the retelling module includes: a playback unit for playing the text to be read sentence by sentence; and a sixth recording unit for recording the user's repeating pronunciation after playing the current sentence. ;
  • the user's repeating pronunciation is the voice of the user repeating the current sentence; and the sixth comparison unit is used to compare the demonstration pronunciation with the user's repeating pronunciation to obtain the evaluation result of the repeating of the user's repeating pronunciation.
  • the present application provides a computer-readable storage medium in which a computer program is stored in the storage medium, and the computer program is used to execute the auxiliary reading method provided in any one of the foregoing aspects.
  • the present application provides an electronic device.
  • the electronic device includes: a processor; a memory for storing executable instructions of the processor; and a processor for executing the assistance provided by any of the above aspects. Method of reading.
  • the method, device, storage medium and electronic equipment for assisting reading provided by the embodiments of the application display and play the text to be read sentence by sentence, and hide the current sentence after the current sentence is played.
  • the user repeats the current sentence and records the user’s Repeat pronunciation, by comparing the demonstration pronunciation with the user’s repeat pronunciation, evaluate the user’s repeat pronunciation, by playing the text to be read sentence by sentence and allowing the user to repeat it, it helps to improve the user’s participation and learning effect, and it is playing the current Hiding the sentence after the end of the sentence can prevent the user from referring to the current sentence displayed when repeating, which helps to improve the user’s listening and speaking ability.
  • by evaluating the user’s repeating pronunciation it can help the user learn more specifically and master the study content.
  • FIG. 1 is a flowchart of a method for assisting reading provided by an embodiment of this application.
  • Fig. 2 shows a flowchart of a method for assisting reading according to another embodiment of the application.
  • FIG. 3 is a flowchart of a method for assisting reading according to another embodiment of the application.
  • Fig. 4 is a flowchart of a method for assisting reading provided by another embodiment of the application.
  • Fig. 5 is a flowchart of a method for assisting reading provided by another embodiment of the application.
  • FIG. 6 is a flowchart of a method for assisting reading provided by another embodiment of this application.
  • FIG. 7 is a flowchart of a method for assisting reading provided by another embodiment of this application.
  • FIG. 8 shows a flowchart of a method for establishing an evaluation standard provided by an embodiment of the application.
  • FIG. 9 is a flowchart of a text recommendation method provided by an embodiment of this application.
  • FIG. 10 is a schematic structural diagram of a device for assisting reading provided by an embodiment of the application.
  • FIG. 11 is a block diagram of an electronic device provided by an embodiment of the application.
  • the embodiments of the present application provide a method, device, storage medium, and electronic equipment for assisting reading, which displays and plays the text to be read sentence by sentence, and hides the current sentence after the current sentence is played, and the user repeats the current sentence.
  • Sentences and record the user’s repeating pronunciation by comparing the demonstration pronunciation with the user’s repeating pronunciation, evaluating the user’s repeating pronunciation, playing the text to be read sentence by sentence and allowing the user to repeat it, which helps to improve the user’s participation and learning effect , And hide it after playing the current sentence, which can prevent the user from referring to the current sentence displayed when repeating, which helps to improve the user’s listening and speaking ability.
  • it can help the user to be more targeted by evaluating the user’s repeating pronunciation Learning and mastering the learning content.
  • FIG. 1 is a flowchart of a method for assisting reading provided by an embodiment of this application.
  • the method for assisting reading includes a repetition mode, where the repetition mode includes the following steps, that is, in the repetition mode, the following steps are performed:
  • Step 110 Display and play the text to be read sentence by sentence.
  • the display interface of the application software installed on the mobile phone and other terminal devices displays and plays the text to be read sentence by sentence, that is, only the current sentence is displayed and played on the display interface of the application software , And other sentences in the text to be read are not displayed, to avoid interference of other sentences to the current sentence learning, so as to improve the user's concentration.
  • Step 120 Hide the current sentence after playing the current sentence.
  • the current sentence When the current sentence is played, the current sentence is displayed on the display interface, and after the playback of the current sentence is over, the current sentence is hidden, that is, after the playback of the current sentence is over, any sentence of the text to be read is not displayed on the display interface, so as to avoid the user only Learning with reference to the text content of the current sentence results in that the current sentence is not well received and memorized by the user, thereby improving the user's memory of the current sentence.
  • Step 130 Record the user's repeating pronunciation; where the user's repeating pronunciation is the voice of the user repeating the current sentence.
  • the recording device can include the built-in Devices such as microphones in terminal equipment.
  • Step 140 Compare the model pronunciation with the user's repeating pronunciation to obtain a repeating evaluation result of the user's repeating pronunciation.
  • the user's repeating pronunciation obtained by recording is compared with the model pronunciation to obtain a repeating evaluation result of the user's repeating pronunciation, where the model pronunciation is the standard pronunciation of the current sentence.
  • the model pronunciation is the standard pronunciation of the current sentence.
  • the embodiment of the application provides a method for assisting reading, displaying and playing the text to be read sentence by sentence, and hiding the current sentence after the current sentence is played.
  • the user repeats the current sentence and records the user’s repeated pronunciation. Compare the demonstration pronunciation with the user’s repeating pronunciation, and evaluate the user’s repeating pronunciation.
  • By playing the text to be read sentence by sentence and allowing the user to repeat it it helps to improve the user’s participation and learning effect. Its hiding can prevent the user from referring to the current sentence displayed when repeating, which helps to improve the user's listening and speaking ability.
  • by evaluating the user's repeating pronunciation it can help the user to learn more targeted and master the learning content.
  • Fig. 2 shows a flowchart of a method for assisting reading according to another embodiment of the application. As shown in FIG. 2, after step 140, the above method may further include:
  • Step 150 When the repetition evaluation result is that the user fails to pass the repetition pronunciation, the user is prompted.
  • the prompting method may be to play encouraging or comforting words such as "Go on” or “Go on”, or to display the above encouragement through text.
  • comfort words this application does not limit the specific method and form of the prompt, so as to avoid directly feeding back the score of the evaluation result to the user and discouraging the user's enthusiasm for learning.
  • the above-mentioned repeat mode may further include the following steps:
  • Step 160 When the repeating evaluation result is that the user's repeating pronunciation fails, the user's repeating pronunciation is recorded again to obtain the repeating pronunciation again.
  • the user can repeat the pronunciation again and record the user's repeat pronunciation again to obtain the repeat pronunciation again. Sentences that the user does not master or have a low degree of mastery can be improved through multiple exercises.
  • the current sentence can be displayed and played again to realize the user's understanding of the current sentence Of learning again.
  • Step 170 Compare the model pronunciation with the repetition pronunciation to obtain the repetition evaluation result of the repetition pronunciation.
  • step 160 when the number of recordings does not exceed the preset first threshold and the last repetition evaluation result is that the corresponding repetition pronunciation fails, step 160 is executed again; when the number of recordings exceeds the preset threshold When the first frequency threshold is set and the last repetition evaluation result is that the corresponding repetition pronunciation fails, step 180 is executed.
  • Step 180 Provide a selection pop-up window for the user to choose.
  • the selection pop-up window includes options to skip the current sentence and record again. It should be understood that the options in the selection pop-up window can be set according to actual application requirements, which are not limited in this application.
  • the user can try again to avoid the failure result caused by the interference of external noises on the repeat pronunciation;
  • a selection pop-up window can be provided for the user to choose to continue practicing or skip the current sentence.
  • FIG. 3 is a flowchart of a method for assisting reading according to another embodiment of the application.
  • the method for assisting reading may also include a reading mode, where the reading mode includes the following steps, that is, in the reading mode, the following steps are performed:
  • Step 210 Display the text to be read, and highlight the current sentence sentence by sentence.
  • the assisted reading method provided in this application may also include a reading mode.
  • the full text of the text to be read is displayed on the display interface and the current sentence is highlighted sentence by sentence, so that the user can focus on the current sentence when reading aloud, and reduce the learning of other sentences from the current sentence Disturbance, improve the user’s concentration.
  • Step 220 Record the user's pronunciation; where the user's pronunciation is the voice of the user reading the current sentence.
  • the recording device It may include devices such as a microphone built into the terminal device.
  • Step 230 Compare the model pronunciation with the user's reading aloud to obtain a reading evaluation result of the user's reading aloud.
  • the recorded pronunciation of the user’s spoken pronunciation is compared with the model pronunciation to obtain a reading evaluation result of the user’s spoken pronunciation, where the model pronunciation is the standard pronunciation of the current sentence.
  • the model pronunciation is the standard pronunciation of the current sentence.
  • the user when the reading evaluation result is that the user fails to read the pronunciation, the user may be prompted.
  • the way of prompting may be to play encouraging or comforting words such as "Go on” or “Go on”, or to display the above encouragement in text. Or comfort words, this application does not limit the specific method and form of the prompt.
  • the above-mentioned reading mode may further include the following steps:
  • Step 240 When the reading evaluation result is that the user fails to read the pronunciation, record the user's pronunciation again to obtain the pronunciation again.
  • the user can be allowed to read aloud again and record the user's reading pronunciation again to obtain the pronunciation again. Sentences that the user does not master or have a low degree of mastery can improve the user's mastery through multiple exercises.
  • the current sentence before recording the user's pronunciation again, the current sentence can also be played to realize the user's learning of the current sentence.
  • Step 250 Compare the model pronunciation with the re-read pronunciation to obtain the re-reading evaluation result of the re-read pronunciation.
  • step 240 when the number of recording times does not exceed the preset second threshold value and the evaluation result of the last reading aloud is that the corresponding reading pronunciation fails, step 240 is performed again; when the number of recording times exceeds the preset number When the second threshold of the number of times and the evaluation result of the last reading aloud is that the corresponding reading aloud fails, step 260 is executed.
  • Step 260 Provide a selection pop-up window for the user to select.
  • the selection pop-up window includes options to skip the current sentence and record again. It should be understood that the options in the selection pop-up window can be set according to actual application requirements, which are not limited in this application.
  • the user can try again to avoid the failure result caused by the interference of external noise on the reading pronunciation; and
  • a selection pop-up window can be provided, and the user can choose to continue practicing or skip the current sentence.
  • Fig. 4 is a flowchart of a method for assisting reading provided by another embodiment of the application.
  • the method for assisting reading may also include a listening-reading mode, where the listening-reading mode includes the following steps, that is, in the listening-reading mode, the following steps are performed:
  • Step 310 Display the text to be read, play sentence by sentence and highlight the current sentence.
  • the assisted reading method provided in this application may also include a listening and reading mode.
  • the current reading mode is the listening-reading mode
  • the full text of the text to be read is displayed on the display interface, and the current sentence is played sentence by sentence, so that the user can focus on the current sentence while listening and reading, and reduce other sentences Interference to the current sentence learning, improve the user's concentration.
  • Step 320 Record the user's listening and reading pronunciation; where the user's listening and reading pronunciation is the voice of the user's listening and reading current sentence.
  • the recording device may include a microphone and other devices built into the terminal device.
  • Step 330 Compare the model pronunciation with the user's listening and reading pronunciation to obtain a listening and reading evaluation result of the user's listening and reading pronunciation.
  • the user's listening and reading pronunciation obtained by recording is compared with the model pronunciation to obtain a listening and reading evaluation result of the user's listening and reading pronunciation, where the model pronunciation is the standard pronunciation of the current sentence.
  • the listening and reading evaluation results of the user’s listening and reading pronunciation are given accordingly.
  • the listening and reading evaluation results can include passing and failing. Can further include good, very good, very good, etc.
  • the user when the listening-reading evaluation result is that the user's listening-reading pronunciation fails, the user may be prompted. When the listening-and-reading evaluation result is not passed, the user is prompted to fail.
  • the prompting method may be to play encouraging or comforting words such as "Go on” or "Go on”, or to display the above in text. Encouraging or comforting words, this application does not limit the specific methods and forms of prompts.
  • the above-mentioned reading mode may further include the following steps:
  • Step 340 When the listening and reading evaluation result is that the user's listening and reading pronunciation fails, record the user's listening and reading pronunciation again to obtain the listening and reading pronunciation again.
  • the user can be allowed to listen and read again and record the user's listening and reading pronunciation again to obtain the listening and reading pronunciation again.
  • the user’s mastery can be improved through multiple exercises.
  • the user’s listening and reading pronunciation can also be re-recorded after the current sentence is played again. In order to realize the user's further study of the current sentence.
  • Step 350 Compare the demonstration pronunciation with the re-listening and reading pronunciation to obtain the re-listening and reading evaluation result of the re-listening and reading pronunciation.
  • step 340 when the number of recordings does not exceed the preset third threshold and the last listening and reading evaluation result is that the corresponding listening and reading pronunciation fails, step 340 is executed again; when the number of recordings exceeds When the preset third frequency threshold and the last listening-reading evaluation result is that the corresponding listening-reading pronunciation fails, step 360 is executed.
  • Step 360 Provide a selection pop-up window for the user to choose.
  • the selection pop-up window includes options to skip the current sentence and record again. It should be understood that the options in the selection pop-up window can be set according to actual application requirements, which are not limited in this application.
  • the user can be allowed to try again to avoid the failure result caused by the interference of external noises on the reading pronunciation;
  • a selection pop-up window can be provided, and the user can choose to continue practicing or skip the current sentence.
  • FIG. 5 is a flowchart of a method for assisting reading provided by another embodiment of the application.
  • the method for assisting reading may further include a silent reading mode, where the silent reading mode includes the following steps, that is, in the silent reading mode, the following steps are performed:
  • Step 410 Display the text to be read and highlight the current sentence.
  • the auxiliary reading methods provided in this application may also include a silent reading mode.
  • the silent reading mode When the user starts to read and the current reading mode is the silent reading mode, the full text of the text to be read is displayed on the display interface, and the current sentence is highlighted, so that the user can focus on the current sentence when reading silently, and reduce the learning of other sentences on the current sentence. Interference, improve the user's concentration.
  • the silent reading mode may further include the following steps:
  • Step 420 Play the text to be read.
  • Step 430 Pause the text to be read.
  • the playback can start from the current sentence or the first sentence of the text to be read.
  • This application can select the starting position when playing is started according to actual application scenarios, which is not limited in this application.
  • FIG. 6 is a flowchart of a method for assisting reading provided by another embodiment of this application.
  • the method for assisting reading may also include a listening mode, where the listening mode includes the following steps, that is, in the listening mode, the following steps are performed:
  • Step 510 Display the text to be read, play the text to be read sentence by sentence and highlight the current sentence.
  • the auxiliary reading methods provided in this application may also include a listening mode.
  • the listening mode When the user starts to read and the current reading mode is the listening mode, the full text of the text to be read is displayed on the display interface. The interference of sentence learning improves the user's concentration.
  • the listening mode may further include the following steps:
  • Step 520 Display a playback progress bar according to the content duration of the text to be read.
  • the playback progress bar is displayed to facilitate the user to grasp the playback progress in real time.
  • FIG. 7 is a flowchart of a method for assisting reading provided by another embodiment of this application.
  • the method for assisting reading includes a paraphrase mode, where the paraphrase mode includes the following steps, that is, in the paraphrase mode, the following steps are performed:
  • Step 610 Play the text to be read sentence by sentence.
  • the assisted reading methods provided in this application may also include a retelling mode.
  • the current reading mode is the paraphrase mode
  • the content of the text to be read is not displayed on the display interface, and only the current sentence is played, so that the user can focus on the current sentence when listening, so as to improve the user's concentration and concentration. Mastery.
  • Step 620 After the playback of the current sentence ends, record the user's retelling pronunciation; wherein, the user's retelling pronunciation is the voice of the user repeating the current sentence.
  • the recording device is turned on to record and obtain the user's retelling pronunciation, that is, after the current sentence is played, the recording device is turned on to record the user's voice retelling the current sentence.
  • the recording device may include a microphone built into the terminal device.
  • Step 630 Compare the model pronunciation with the user's repeating pronunciation to obtain a repeating evaluation result of the user's repeating pronunciation.
  • the user's retelling pronunciation obtained by recording is compared with the model pronunciation to obtain a retelling evaluation result of the user's repeating pronunciation, where the model pronunciation is the standard pronunciation of the current sentence.
  • the retelling evaluation result of the user’s retelling pronunciation is given. Very good, very good, etc.
  • the user when the retelling evaluation result is that the user fails to pass the retelling pronunciation, the user may be prompted. When the retelling evaluation result is not passed, the user is prompted to fail.
  • the prompting method may be to play encouraging or comforting words such as "Go on” or "Go on”, or to display the above encouragement in text. Or comfort words, this application does not limit the specific method and form of the prompt, so as to avoid directly feeding back the score of the evaluation result to the user and discouraging the user's enthusiasm for learning.
  • the above-mentioned retelling mode may further include the following steps:
  • Step 640 When the repeating evaluation result is that the user's repeating pronunciation fails, record the user's repeating pronunciation again to obtain the repeating pronunciation again.
  • the user can be allowed to repeat and record the user's repeating pronunciation again to obtain the repeating pronunciation again.
  • the user can be improved through multiple exercises.
  • before recording the user’s retelling pronunciation again it is also possible to re-record the user’s retelling pronunciation after playing the current sentence again. The user's further study of the current sentence.
  • Step 650 Compare the model pronunciation with the re-repetition pronunciation to obtain the re-repetition evaluation result of the re-repetition pronunciation.
  • step 640 when the number of recordings does not exceed the preset fourth threshold and the evaluation result of the last retelling is that the corresponding retelling pronunciation fails, step 640 is performed again; when the number of recordings exceeds the preset When the fourth frequency threshold of, and the last retelling evaluation result is that the corresponding retelling pronunciation fails, step 660 is executed.
  • Step 660 Provide a selection pop-up window for the user to select.
  • the selection pop-up window includes options to skip the current sentence and record again. It should be understood that the options in the selection pop-up window can be set according to actual application requirements, which are not limited in this application.
  • a selection pop-up window can be provided for the user to choose to continue practicing or skip the current sentence.
  • the application can switch the current mode to another mode according to the user's instruction. For example, if the current mode is the silent reading mode, the user can manually select the listening mode and switch the current reading mode to the listening mode. By switching the mode, the user's reading options can be improved, and the user can select a reading mode that suits them according to actual needs, thereby improving the reading effect in a more targeted manner. After the mode is switched, the reading progress in the previous mode may not be retained, that is, after the mode is switched, the text to be read is re-read in the new reading mode. In one embodiment, a default mode can be set to realize the current mode by default when the user starts reading.
  • the embodiment of the present application can select any one or a combination of the above six modes according to actual application scenarios.
  • an embodiment of the present application includes the above six modes at the same time.
  • you can When reading users can first select the less difficult listening mode and silent mode to understand the content of the reading text, and then select the listening and reading mode and reading mode to learn the reading ability, and finally select the repetition mode and retelling mode to read the text
  • Carrying out memory repetition and using progressive learning methods can gradually remind users of their reading level and ability. Especially for users who learn foreign languages, the learning effect is better than the simple reading mode.
  • the five modes in the embodiments of the present application can be selected by users according to their own needs, and they are not necessarily performed in the aforementioned progressive order, which is not limited in the embodiments of the present application.
  • FIG. 8 shows a flowchart of a method for establishing an evaluation standard provided by an embodiment of the application.
  • the formulation of the evaluation criteria used to evaluate the retelling evaluation results, the reading evaluation results, and the listening and reading evaluation results in the foregoing embodiments may include the following steps:
  • Step 710 Obtain the user level according to the user information.
  • the user's level can be known based on user information.
  • the user information may include the user's age or the user's nationality.
  • users are of different ages and nationalities, their reading level will show a big difference. For example, it is easier for Chinese people to read Chinese texts than foreigners. Therefore, in general, in terms of reading Chinese texts, The level of Chinese is significantly higher than that of foreigners.
  • Step 720 Formulate evaluation criteria according to the user level.
  • the method for formulating the aforementioned evaluation criteria may further include:
  • Step 730 Adjust the evaluation standard according to the comprehensive evaluation result of the user within the preset time period.
  • the user can comprehensively evaluate the user after a period of learning, and adjust the evaluation criteria based on the results of the comprehensive evaluation. For example, after the user has studied for a period of time , Its reading level has been greatly improved. At this time, the user’s evaluation criteria can be appropriately improved, and the text to be read with higher reading difficulty can also be recommended to the user to encourage the user to improve again.
  • the user is prompted that the reading is completed, and other text to be read recommended to the user is displayed.
  • the implementation of recommending the text to be read to the user includes: obtaining a set of recommended texts associated with the currently read text based on the set of search questions to be selected.
  • the relevant recommended text set can be obtained based on the focused correlation dimension of the response of the search question set to be selected.
  • the recommended text collection can make users think deeply and improve their awareness. In addition, it provides users with choices from multiple dimensions, jumps out of the fixed thinking mode, and opens up dialectical and diverse thinking modes for users.
  • all historical search questions may be sorted in descending or ascending order according to preset rules (for example, the number of searches, the number of clicks, the useful evaluation, etc.), and the set of candidate search questions that meet the first preset condition can be filtered out.
  • the first preset condition may include one or more combinations of the following conditions: the number of input times is greater than or equal to a first threshold and belongs to the first preset number of historical search questions that have been input the most times. The more inputted times, the more concerned, more typical, and the higher the relevance of the search question to the current article, and the higher the matching degree with the question that the user needs to search, which can effectively shorten the time for users to conceive the editing method of the question, and is effective Answer the user's search questions, by setting the first preset condition, filter out search questions of multiple dimensions that are logically relevant to the current reading text.
  • FIG. 9 is a flowchart of a text recommendation method provided by an embodiment of this application. As shown in Figure 9, the above recommended method specifically includes:
  • Step 810 Obtain a search result text list corresponding to each candidate search question in the candidate search question set.
  • Step 820 According to the number of search questions to be selected in the search question set to be selected, the second preset number of search result texts are selected from the search result text list corresponding to each search question to be selected and added to the recommended text set.
  • the number of search questions that meet the first preset condition is different. According to the number of search questions to be selected in the set of search questions to be selected, each question is different from each question to be searched.
  • the second preset number of search result texts before the selection in the corresponding search result text list are added to the recommended article set.
  • the search is performed on each of the 10 search questions to be selected to obtain the corresponding search question for each search question to be selected.
  • For each search result text list filter out the top 1 search result text in each search result text list, get 10 search result texts, and 10 search result texts are added to the recommended text set as recommended texts.
  • R&D personnel preset the number of search questions to be selected in the set of search questions to be selected and the second preset number in advance. There is a corresponding relationship between the number of questions and the second preset number, and the specific value is not limited.
  • the second preset number is 3.
  • the search is performed on each of the 3 search questions to be selected to obtain each corresponding to each search question to be selected.
  • the second preset number is 2.
  • the search is performed on each of the two search questions to be selected, and the corresponding search question for each search question is obtained.
  • For each search result text list filter out the top 2 search result texts in each search result text list, and obtain 4 search result texts, and 4 search result texts are added to the recommended text set as recommended texts.
  • the second preset number is 1.
  • N the number of search questions to be selected in the selected search question set
  • each of the N candidate search questions is used to search for each candidate search question, and each candidate search question is obtained.
  • the above text recommendation method may further include:
  • Step 830 When the number of recommended texts in the recommended text set is less than the third preset number, obtain multiple tag categories corresponding to the currently read text, where each tag category includes at least one tag.
  • the third preset number for example: when the number of search questions to be selected in the set of search questions to be selected is 2 or 3, 4 searches are obtained As the result text, the number of recommended texts in the current recommended text set is 4, and the number of recommended texts in the recommended text set is 10 (the third preset number is 10).
  • the number of recommended texts in the current recommended text set is considered to be unsaturated, and recommended texts need to be obtained from other dimensions to continue to be added to the recommended text set. Acquire multiple label categories corresponding to the currently read text, where each label category includes at least one label.
  • each tag category includes at least one tag.
  • the tag category may include the main opinion category, and the main opinion category includes: the same opinion, similar opinion, opposing opinion, refuting opinion, and so on.
  • Step 840 According to the number of tags in the tag category, the fourth preset number of search result texts are filtered out in the search result text list corresponding to the tags and added to the recommended text set.
  • the number of tags included in each tag category is different, and the first fourth preset number of search result texts are filtered out from the search result text list corresponding to each tag to be added to the recommended text set.
  • the tag category is the main opinion category
  • the main opinion category includes four tags: same opinion, similar opinion, opposing opinion, and refuting opinion. Search with each of these 4 tags to obtain the search result text list corresponding to the same opinion, the search result text list corresponding to the similar opinion, the search result text list corresponding to the opposite opinion, and the refuted opinion search result text list. Filter out the top 1 search result text in the corresponding search result text list, the search result text list corresponding to similar views, and the search result text list corresponding to opposite views, and 4 search result texts and 4 search results are obtained.
  • the text is added to the recommended text set as recommended text. It should be understood that there is a corresponding relationship between the number of tags in the tag category and the fourth preset number. R&D personnel preset the number of tags in the tag category and the fourth preset number in advance. The fourth preset number and specific value are not limited.
  • the above text recommendation method may further include:
  • Step 850 When the number of recommended texts in the recommended text set is less than the third preset number, preferentially select the number of tags in the higher tag category according to the priority, and select the search results corresponding to the tags in the higher priority tag categories respectively
  • the text list filters out the first fourth preset number of search result texts and adds them to the recommended text set.
  • the tag categories include: main opinion tag category, keyword tag category, main character tag category, and main character tag category, and there are priorities among these four categories.
  • the main opinion label category has the highest priority
  • the keyword label category, the main character label category, and the main character character label have the same priority but are lower than the main opinion label category.
  • the number of recommended texts in the recommended text set After adding the recommended text filtered out in the text list corresponding to the main tag, if the number of recommended texts in the recommended text set has reached the third preset number, stop continuing to filter; if the number of recommended texts in the recommended text set is still less than the third
  • the preset number is based on the number of keyword tags in the keyword tag category, the number of main tasks in the main character tag category, and the number of main characters in the main character tag category, respectively from the search result text list corresponding to the keyword tag, the main person Recommended texts are filtered from the search result text list corresponding to the tag category and the search result text list corresponding to the main character tag category.
  • the multiple tag categories include main viewpoint categories, and each main viewpoint category includes at least one main viewpoint label; step 840 may specifically include: according to the number of main viewpoint tags in the main viewpoint categories, corresponding to the main viewpoint tags respectively In the search result text list of, filter out the first fourth preset number of search result texts and add them to the recommended text set.
  • the tag category is the main opinion category
  • the main opinion categories include four tags: the same opinion, similar opinion, opposing opinion, and refuting opinion. Search with each of these 4 tags to obtain the search result text list corresponding to the same opinion, the search result text list corresponding to the similar opinion, the search result text list corresponding to the opposite opinion, and the refuted opinion search result text list. Filter out the top 1 search result text in the corresponding search result text list, the search result text list corresponding to similar opinions, and the search result text list corresponding to opposite opinions, and 3 search result texts and 4 search results are obtained.
  • the text is added to the recommended text set as recommended text. It should be understood that there is a corresponding relationship between the number of tags in the tag category and the fourth preset number. R&D personnel preset the number of tags in the tag category and the fourth preset number in advance. The fourth preset number and specific value are not limited.
  • the fourth preset number is 3, and the search result text list corresponding to this main viewpoint is obtained, where the search result text corresponding to the main viewpoint In the list, the top 3 search result texts are filtered out, and 3 search result texts are obtained, and the 3 search result texts are added to the recommended text set as recommended texts.
  • the fourth preset number is 2
  • the search result text list corresponding to the 2 or 3 main viewpoints is obtained
  • the text lists of the search results corresponding to the 2 or 3 main viewpoints are obtained respectively.
  • the fourth preset number is 1, and the search result text list corresponding to the M main viewpoints is obtained, where M In the search result text list corresponding to the main viewpoints, the top 1 search result text is filtered out, and M search result texts are obtained, and M search result texts are added as recommended texts to the recommended text set.
  • the tag categories include keyword categories, and each keyword category includes at least one keyword tag; step 840 specifically includes: according to the number of keyword tags in the keyword category, respectively in the search results corresponding to the keyword tags In the text list, filter out the first fourth preset number of search result texts and add them to the recommended text set.
  • the fourth preset number is 3; when the number of keyword tags in the keyword category is 2 or 3, the fourth preset number is 2; When the number of keyword tags in the keyword category is greater than or equal to 4, the fourth preset number is 1.
  • the multiple label categories include main character categories, and each main character category includes at least one main character label; step 840 specifically includes: according to the number of main character labels in the main character category, the corresponding main character labels In the search result text list, the first fourth preset number of search result texts are filtered out and added to the recommended text set.
  • the fourth preset number when the number of main character tags in the main character category is 1, the fourth preset number is 3; when the number of main character tags in the main character category is 2 or 3, the fourth preset number is 2. When the number of main character tags in the main character category is greater than or equal to 4, the fourth preset number is 1.
  • the multiple label categories include main character personality categories, and each main character personality category includes at least one main character personality label; step 840 specifically includes: according to the number of main character personality labels in the main character personality category, In the search result text list corresponding to the main character personality tag, the first fourth preset number of search result texts are filtered out and added to the recommended text set.
  • the fourth preset number is 3; when the number of main character personality tags in the main character personality category is 2 or 3, the fourth The preset number is 2; when the number of main character personality tags in the main character personality category is greater than or equal to 4, the fourth preset number is 1.
  • FIG. 10 is a schematic structural diagram of a device for assisting reading provided by an embodiment of the application.
  • the device 7 for assisting reading includes: a rereading module 71, wherein the rereading module 71 includes: a first display unit 711 for displaying and playing the text to be read sentence by sentence; and a hiding unit 712 for playing the current The current sentence is hidden after the sentence ends; the first recording unit 713 is used to record the user's repeating pronunciation; wherein the user repeating pronunciation is the voice of the user repeating the current sentence; the first comparison unit 714 is used to compare the demonstration pronunciation with the user's repeating pronunciation , In order to get the repetition evaluation result of the user's repetition pronunciation.
  • the first display unit 711 displays and plays the text to be read sentence by sentence
  • the hiding unit 712 hides the current sentence after the current sentence is played.
  • the user repeats the current sentence and the first recording unit 713 records the user
  • the demonstration pronunciation is compared with the user’s repeat pronunciation, and the user’s repeat pronunciation is evaluated.
  • the repetition module 71 is further configured to: when the evaluation result is that the repetition pronunciation fails, record the user repetition pronunciation again to obtain the repetition pronunciation; compare the demonstration pronunciation with the repetition pronunciation to obtain the paired repetition pronunciation Re-repeat the evaluation result; when the re-repeat evaluation result is that the re-repeat pronunciation fails, the user is reminded again; when the number of recordings does not exceed the preset first-time threshold and the last re-repeat evaluation result is that the corresponding re-repeat pronunciation fails , Record again; when the number of recordings exceeds the preset threshold for the first number of times and the last repetition evaluation result is that the corresponding repetition pronunciation fails, a selection pop-up window is provided for the user to choose. Among them, the selection pop-up window includes skipping the current sentence And the option to record again.
  • the device 7 for assisting reading may further include a reading module 72, where the reading module 72 includes: a second display unit 721 for displaying the text to be read and highlighting the current sentence sentence by sentence
  • the second recording unit 722 is used to record the user’s reading aloud pronunciation; among them, the user’s reading aloud is the voice of the user reading the current sentence; the second comparison unit 723 is used to compare the demonstration pronunciation with the user’s reading aloud to get the user’s reading aloud The result of pronunciation evaluation.
  • the reading module 72 is further configured to: when the evaluation result is that the reading pronunciation fails, record the user's reading aloud pronunciation again to obtain the pronunciation again; compare the demonstration pronunciation with the pronunciation again to obtain the paired pronunciation Read the evaluation result again; when the evaluation result of the second reading aloud fails, the user is reminded again; when the number of recordings does not exceed the preset second threshold and the evaluation result of the last reading is that the corresponding reading pronunciation fails, Record again; when the number of recordings exceeds the preset second threshold and the evaluation result of the last reading is that the corresponding reading fails, a selection pop-up window is provided for the user to choose. Among them, the selection pop-up window includes skip the current sentence and repeat Recording options.
  • the device 7 for assisting reading may further include a listening and reading module 73, wherein the listening and reading module 73 includes: a third display unit 731 for displaying the text to be read, and playing and reading sentence by sentence. Highlight the current sentence; the third recording unit 732 is used to record the user’s listening and reading pronunciation; among them, the user’s listening and reading pronunciation is the voice of the user’s listening and reading the current sentence; the third comparison unit 733 is used to compare the demonstration pronunciation with the user’s listening and reading Pronunciation, in order to obtain the listening and reading evaluation results of the user's listening and reading pronunciation.
  • the listening and reading module 73 includes: a third display unit 731 for displaying the text to be read, and playing and reading sentence by sentence. Highlight the current sentence; the third recording unit 732 is used to record the user’s listening and reading pronunciation; among them, the user’s listening and reading pronunciation is the voice of the user’s listening and reading the current sentence; the third comparison unit 733 is used to compare the demonstration pronunciation with the user’s listening
  • the listening and reading module 73 is further configured to: when the evaluation result is that the listening and reading pronunciation fails, record the user's listening and reading pronunciation again to obtain the listening and reading pronunciation again; Obtain the re-listening and reading evaluation result for the re-listening and reading pronunciation; when the re-listening and reading evaluation result is that the re-listening and reading pronunciation fails, the user is reminded again; when the number of recordings does not exceed the preset third threshold and the last listening and reading evaluation When the result is that the corresponding listening and reading pronunciation fails, record again; when the number of recordings exceeds the preset third threshold and the last listening and reading evaluation result is that the corresponding listening and reading pronunciation fails, a selection pop-up window is provided for the user to choose. Among them, the selection pop-up window includes options to skip the current sentence and record again.
  • the device 7 for assisting reading may further include a silent reading module 74, wherein the silent reading module 74 includes a fourth display unit 741 for displaying the text to be read and highlighting the current sentence.
  • the silent reading module 74 may further include: a playing unit 742, configured to play the text to be read; and a pause unit 743, configured to pause the playback of the text to be read.
  • the device 7 for assisting reading may further include a listening module 75, wherein the listening module 75 includes: a fifth display unit 751, configured to display the text to be read, and to play the text to be read sentence by sentence And highlight the current statement.
  • the listening module 75 includes: a fifth display unit 751, configured to display the text to be read, and to play the text to be read sentence by sentence And highlight the current statement.
  • the listening module 75 may further include: a progress display unit 752, configured to display a playback progress bar according to the content duration of the text to be read.
  • the device 7 for assisting reading may further include a paraphrase module 76, wherein the paraphrase module 76 includes: a playing unit 761 for playing the text to be read sentence by sentence; and a sixth recording unit 762, It is used to record the user's repeating pronunciation after playing the current sentence; where the user's repeating pronunciation is the voice of the user repeating the current sentence; and the sixth comparison unit 763 is used to compare the demonstration pronunciation with the user's repeating pronunciation to obtain the user The result of the retelling evaluation of the retelling pronunciation.
  • the paraphrase module 76 includes: a playing unit 761 for playing the text to be read sentence by sentence; and a sixth recording unit 762, It is used to record the user's repeating pronunciation after playing the current sentence; where the user's repeating pronunciation is the voice of the user repeating the current sentence; and the sixth comparison unit 763 is used to compare the demonstration pronunciation with the user's repeating pronunciation to obtain the user The result of the retelling evaluation of the retelling pronunciation.
  • the paraphrase module 76 is further configured to: when the evaluation result is that the paraphrased pronunciation fails, record the user paraphrased pronunciation again to obtain the paraphrased pronunciation; compare the demonstration pronunciation with the paraphrased pronunciation to obtain the paired paraphrased pronunciation.
  • the result of repeating the evaluation when the result of the repeating evaluation is that the repeating pronunciation fails, the user repeating the pronunciation is recorded again to get the repeating pronunciation; the demonstration pronunciation and the repeating pronunciation are compared to get the repeating evaluation result of the repeating pronunciation ;
  • the number of recordings does not exceed the preset fourth threshold and the last recitation evaluation result is that the corresponding paraphrase pronunciation fails, record again;
  • the number of recordings exceeds the preset fourth threshold and the last recitation evaluation result is corresponding
  • a selection pop-up window is provided for the user to choose; wherein, the selection pop-up window includes options for skipping the current sentence and recording again.
  • the device 7 for assisting reading may further include: a switching module 77 for switching the current module to other modules.
  • the device 7 for assisting reading may further include an evaluation standard setting module 78, wherein the evaluation standard setting module 78 includes: a level determining unit 781, configured to obtain a user level based on user information ; Among them, the user information may include the user’s age or the user’s nationality, etc.; the standard setting unit 782 is used to formulate evaluation criteria according to the user’s level; the standard adjustment unit 783 is used to set the comprehensive evaluation results of the user within a preset time period, Adjust the evaluation criteria.
  • the evaluation standard setting module 78 includes: a level determining unit 781, configured to obtain a user level based on user information ; Among them, the user information may include the user’s age or the user’s nationality, etc.; the standard setting unit 782 is used to formulate evaluation criteria according to the user’s level; the standard adjustment unit 783 is used to set the comprehensive evaluation results of the user within a preset time period, Adjust the evaluation criteria.
  • the device 7 for assisting reading may further include a recommendation module 79, wherein the recommendation module 79 includes: a search result obtaining unit 791, configured to obtain each candidate search in the set of candidate search questions The search result text list corresponding to the question; the recommended text acquisition unit 792 is used to filter the first second preset in the search result text list corresponding to each search question set according to the number of search questions to be selected in the search question set to be selected A number of search result texts are added to the recommended text set.
  • the recommendation module 79 includes: a search result obtaining unit 791, configured to obtain each candidate search in the set of candidate search questions The search result text list corresponding to the question; the recommended text acquisition unit 792 is used to filter the first second preset in the search result text list corresponding to each search question set according to the number of search questions to be selected in the search question set to be selected A number of search result texts are added to the recommended text set.
  • the recommended text obtaining unit 792 may be further configured to: when the number of search questions to be selected in the search question set to be selected is 1, the second preset number is 3. In one embodiment, the recommended text obtaining unit 792 may be further configured to: when the number of search questions to be selected in the search question set to be selected is 2 or 3, the second preset number is 2. In one embodiment, the recommended text obtaining unit 792 may be further configured to: when the number of search questions to be selected in the search question set to be selected is greater than or equal to 4, the second preset number is 1.
  • the recommended text obtaining unit 792 may be further configured to: when the number of recommended texts in the recommended text set is less than the third preset number, obtain multiple tag categories corresponding to the currently read text, where each tag category includes At least one tag; the recommended text set construction unit 794 is configured to add the fourth preset number of search result texts to the recommended text set before filtering out the search result text list corresponding to the tag according to the number of tags in the tag category.
  • the recommended text obtaining unit 792 may be further configured to: when the number of recommended texts in the recommended text set is less than the third preset number, preferentially select the number of tags in the higher tag category according to the priority, and the number of tags in the higher tag category is selected according to the priority.
  • the search result text list corresponding to the label in the higher label category is selected to filter out the first fourth preset number of search result texts to be added to the recommended text set.
  • the multiple tag categories include main opinion categories, and each main opinion category includes at least one main opinion tag;
  • the recommended text obtaining unit 792 may be further configured to: The first fourth preset number of search result texts are filtered from the search result text list corresponding to the main point of view label and added to the recommended text set.
  • the recommended text obtaining unit 792 may be further configured to: when the number of main idea tags in the main idea category is 1, the fourth preset number is 3, and the search result text list corresponding to the one main idea is obtained. . In one embodiment, the recommended text obtaining unit 792 may be further configured to: when the number of main idea tags in the main idea category is 1, the fourth preset number is 3, and the search result text list corresponding to the one main idea is obtained. . In an embodiment, the recommended text obtaining unit 792 may be further configured to: when the number of main idea tags in the main idea category is 2 or 3, the fourth preset number is 2, and the corresponding 2 or 3 main ideas are obtained. Search result text list.
  • the recommended text obtaining unit 792 may be further configured to: when the number of main idea tags in the main idea category is M (M is greater than or equal to 4), the fourth preset number is 1, and the M main ideas are obtained. The corresponding search result text list.
  • the tag categories include keyword categories, and each keyword category includes at least one keyword tag; the recommended text obtaining unit 792 may be further configured to: according to the number of keyword tags in the keyword category, each keyword From the search result text list corresponding to the label, the first fourth preset number of search result texts are filtered out and added to the recommended text set.
  • the recommended text obtaining unit 792 may be further configured to: when the number of keyword tags in the keyword category is 1, the fourth preset number is 3; when the number of keyword tags in the keyword category is 2 Or when 3, the fourth preset number is 2; when the number of keyword tags in the keyword category is greater than or equal to 4, the fourth preset number is 1.
  • the multiple label categories include main role categories, and each main role category includes at least one main role label; the recommended text acquisition unit 792 may be further configured to: In the search result text list corresponding to the main role tag, the first fourth preset number of search result texts are filtered out and added to the recommended text set.
  • the recommended text acquisition unit 792 may be further configured as follows: when the number of main role tags in the main role category is 1, the fourth preset number is 3; when the number of main role tags in the main role category is 2 Or when 3, the fourth preset number is 2; when the number of main character tags in the main character category is greater than or equal to 4, the fourth preset number is 1.
  • the multiple label categories include main character personality categories, and each main character personality category includes at least one main character personality label; the recommended text acquisition unit 792 may be further configured to: according to the main character personality label in the main character personality category The first fourth preset number of search result texts are selected from the search result text list corresponding to the main character personality tag and added to the recommended text set.
  • the recommended text acquisition unit 792 may be further configured to: when the number of main character personality tags in the main character personality category is 1, the fourth preset number is 3; when the main character personality tags in the main character personality category When the number of is 2 or 3, the fourth preset number is 2; when the number of main character personality tags in the main character category is greater than or equal to 4, the fourth preset number is 1.
  • the electronic device can be either or both of the first device and the second device, or a stand-alone device independent of them, and the stand-alone device can communicate with the first device and the second device to receive collected data from them Input signal.
  • FIG. 11 is a block diagram of an electronic device provided by an embodiment of the application. As shown in FIG. 11, the electronic device 10 includes one or more processors 11 and a memory 12.
  • the processor 11 may be a central processing unit (CPU) or other form of processing unit with data processing capability and/or instruction execution capability, and may control other components in the electronic device 10 to perform desired functions.
  • CPU central processing unit
  • the processor 11 may control other components in the electronic device 10 to perform desired functions.
  • the memory 12 may include one or more computer program products, and the computer program products may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory.
  • the volatile memory may include random access memory (RAM) and/or cache memory (cache), for example.
  • the non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, and the like.
  • One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 11 may run the program instructions to implement the reading aid method and/or the various embodiments of the application described above. Other desired functions.
  • Various contents such as input signals, signal components, noise components, etc. can also be stored in the computer-readable storage medium.
  • the electronic device 10 may further include: an input device 13 and an output device 14, and these components are interconnected by a bus system and/or other forms of connection mechanisms (not shown).
  • the input device 13 may be a microphone or a microphone array for capturing the input signal of the sound source.
  • the input device 13 may be a communication network connector for receiving collected input signals from the first device and the second device.
  • the input device 13 may also include, for example, a keyboard, a mouse, and so on.
  • the output device 14 can output various information to the outside, including determined distance information, direction information, and the like.
  • the output device 14 may include, for example, a display, a speaker, a printer, a communication network and a remote output device connected to it, and so on.
  • the electronic device 10 may also include any other appropriate components.
  • the embodiments of the present application may also be computer program products, which include computer program instructions that, when run by a processor, cause the processor to execute the “exemplary method” described above in this specification.
  • the steps in the method for assisting reading according to various embodiments of the present application are described in the section.
  • the computer program product may use any combination of one or more programming languages to write program codes for performing the operations of the embodiments of the present application.
  • the programming languages include object-oriented programming languages, such as Java, C++, etc. , Also includes conventional procedural programming languages, such as "C" language or similar programming languages.
  • the program code can be executed entirely on the user's computing device, partly on the user's device, executed as an independent software package, partly on the user's computing device and partly executed on the remote computing device, or entirely on the remote computing device or server Executed on.
  • the embodiment of the present application may also be a computer-readable storage medium, on which computer program instructions are stored.
  • the processor executes the "exemplary method" part of this specification. The steps in the method for assisting reading according to various embodiments of the present application are described in.
  • the computer-readable storage medium may adopt any combination of one or more readable media.
  • the readable medium may be a readable signal medium or a readable storage medium.
  • the readable storage medium may include, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the above, for example. More specific examples (non-exhaustive list) of readable storage media include: electrical connections with one or more wires, portable disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable Type programmable read only memory (EPROM or flash memory), optical fiber, portable compact disk read only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above.
  • each component or each step can be decomposed and/or recombined.
  • decompositions and/or recombinations shall be regarded as equivalent solutions of this application.

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Abstract

一种辅助阅读的方法、装置、存储介质及电子设备，所述方法包括：逐句显示并播放待阅读文本（110）；在播放当前语句结束后隐藏当前语句（120）；录制用户复读发音；其中，用户复读发音为用户复读所述当前语句的语音（130）；以及比对示范发音与所述用户复读发音，以得到对用户复读发音的复读评价结果（140）。通过逐句播放待阅读文本并让用户复读，有助于提高用户的参与程度以及学习效果，并且在播放当前语句结束后将其隐藏，可以避免用户在复读时参考显示的当前语句，有助于提高用户的听说能力，同时通过对用户复读发音进行评价，可以帮助用户更有针对性的学习及掌握学习内容。

Description

辅助阅读的方法、装置、存储介质及电子设备 技术领域
本申请涉及语言学习技术领域，具体涉及一种辅助阅读的方法、装置、计算机可读存储介质及电子设备。
发明背景
随着手机等移动终端的广泛使用，应用于其上的应用程序也是越来越多，这也导致了很多的事情可以在移动终端上实现，例如看书阅读等，目前市面上已经有很多在线看书、看新闻和学习知识的产品。然而，这些产品通常只能提供文本内容供用户阅读，或者通过语音播放的方式向用户输入文本内容信息，这样的方式对于学习语言的用户显然是不够的，例如用户需要学习外语时，很可能不能独自完成阅读外语文本，而如果仅仅是通过语音播放给用户，这样的学习很被动，降低了用户主动学习的积极性，从而导致用户放弃学习。
发明内容
有鉴于此，本申请提供一种辅助阅读的方法、装置、存储介质及电子设备，逐句显示并播放待阅读文本，并且在播放当前语句结束后隐藏当前语句，由用户复读当前语句并录制用户的复读发音，通过比对示范发音与用户的复读发音，对用户的复读发音进行评价，通过逐句播放待阅读文本并让用户复读，有助于提高用户的参与程度以及学习效果，并且在播放当前语句结束后将其隐藏，可以避免用户在复读时参考显示的当前语句，有助于提高用户的听说能力，同时通过对用户复读发音进行评价，可以帮助用户更有针对性的学习及掌握学习内容。
根据本申请的一个方面，本申请提供了一种辅助阅读的方法，包括复读模式，其中该复读模式包括：逐句显示并播放待阅读文本；在播放当前语句结束后隐藏当前语句；录制用户复读发音；其中，用户复读发音为用户复读当前语句的语音；以及比对示范发音与用户复读发音，以得到对用户复读发音的复读评价结果。
在本申请某些实施例中，在得到对用户复读发音的复读评价结果之后，复读模式还包括：当复读评价结果为用户复读发音未通过时，提示用户。
在本申请某些实施例中，在得到对用户复读发音的复读评价结果之后，复读模式还包括：当复读评价结果为用户复读发音未通过时，再次录制用户复读发音，得到再次复读发音；以及比对示范发音与再次复读发音，以得到对再次复读发音的再次复读评价结果。
在本申请某些实施例中，复读模式还包括：当录制次数超过预设的第一次数阈值且最后一次复读评价结果为对应的复读发音未通过时，提供选择弹窗供用户选择；其中，选择弹窗中包括跳过当前语句和再次录制的选项。
在本申请某些实施例中，还包括朗读模式，其中，朗读模式包括：显示待阅读文本，并且逐句突显当前语句；录制用户朗读发音；其中，用户朗读发音为用户朗读当前语句的语音；以及比对示范发音与用户朗读发音，以得到对用户朗读发音的朗读评价结果。
在本申请某些实施例中，在得到对用户朗读发音的朗读评价结果之后，朗读模式还包括：当朗读评价结果为用户朗读发音未通过时，再次录制用户朗读发音，得到再次朗读发音；以及比对示范发音与再次朗读发音，以得到对再次朗读发音的再次朗读评价结果。
在本申请某些实施例中，朗读模式还包括：当录制次数超过预设的第二次数阈值且最后一次朗读评价结果为对应的朗读发音未通过时，提供选择弹窗供用户选择；其中，选择弹窗中包括跳过当前语句和再次录制的选项。
在本申请某些实施例中，还包括听读模式，其中，听读模式包括：显示待阅读文本，逐句播放并突显当前语句；录制用户听读发音；其中，用户听读发音为用户听读当前语句的语音；以及比对示范发音与用户听读发音，以得到对用户听读发音的听读评价结果。
在本申请某些实施例中，在得到对用户听读发音的听读评价结果之后，听读模式还包括：当听读评价结果为用户听读发音未通过时，再次录制用户听读发音，得到再次听读发音；以及比对示范发音与再次听读发音，以得到对再次听读发音的再次听读评价结果。
在本申请某些实施例中，再次录制用户听读发音包括：再次播放当前语句；以及重新录制用户听读发音。
在本申请某些实施例中，听读模式还包括：当录制次数超过预设的第三次数阈值且最后一次听读评价结果为对应的听读发音未通过时，提供选择弹窗供用户选择；其中，选择弹窗中包括跳过当前语句和再次录制的选项。
在本申请某些实施例中，还包括默读模式，其中，默读模式包括：显示待阅读文本并突显当前语句。
在本申请某些实施例中，默读模式还包括：播放待阅读文本；以及暂停播放待阅读文本。
在本申请某些实施例中，还包括聆听模式，其中，聆听模式包括：显示待阅读文本，逐句播放待阅读文本并突显当前语句。
在本申请某些实施例中，聆听模式还包括：根据待阅读文本的内容时长，显示播放进度条。
在本申请某些实施例中，还包括复述模式，其中，复述模式包括：逐句播放待阅读文本；在播放当前语句结束后，录制用户复述发音；其中，用户复述发音为用户复述当前语句的语音；以及比对示范发音与用户复述发音，以得到对用户复述发音的复述评价结果。
在本申请某些实施例中，在得到对用户复述发音的复述评价结果之后，复述模式还包括：当再次复述评价结果为再次复述发音未通过时，再次录制用户复述发音，得到再次复述发音；以及比对示范发音与再次复述发音，以得到对再次复述发音的再次复述评价结果。
在本申请某些实施例中，再次录制用户复述发音包括：再次播放当前语句；以及重新录制用户复述发音。
在本申请某些实施例中，复述模式还包括：当录制次数超过预设的第四次数阈值且最后一次复述评价结果为对应的复述发音未通过时，提供选择弹窗供用户选择；其中，选择弹窗中包括跳过当前语句和再次录制的选项。
在本申请某些实施例中，还包括：切换当前模式至其他模式。
在本申请某些实施例中，还包括：根据用户信息，获取用户水平等级；以及根据用户水平等级，制定评价标准。
在本申请某些实施例中，用户信息包括用户年龄或者用户国籍。
在本申请某些实施例中，在制定评价标准后，还包括：根据预设时间段内对用户的综合评价结果，调整评价标准。根据本申请实施例的另一个方面，本申请提供了一种辅助阅读的装置，包括复读模块，其中该复读模块包括：第一显示单元，用于逐句显示并播放待阅读文本；隐藏单元，用于在播放当前语句结束后隐藏当前语句；第一录音单元，用于录制用户复读发音；其中，用户复读发音为用户复读当前语句的语音；以及第一比对单元，用于比对示范发音与用户复读发音，以得到对用户复读发音的复读评价结果。
在本申请某些实施例中，还包括朗读模块，其中，朗读模块包括：第二显示单元，用于显示待阅读文本，并且逐句突显当前语句；第二录音单元，用于录制用户朗读发音；其中，用户朗读发音为用户朗读当前语句的语音；以及第二比对单元，用于比对示范发音与用户朗读发音，以得到对用户朗读发音的朗读评价结果。
在本申请某些实施例中，还包括听读模块，其中，听读模块包括：第三显示单元，用于显示待阅读文本，逐句播放并突显当前语句；第三录音单元，用于录制用户听读发音；其中，用户听读发音为用户听读当前语句的语音；以及第三比对单元，用于比对示范发音与用户听读发音，以得到对用户听读发音的听读评价结果。
在本申请某些实施例中，还包括默读模块，其中，默读模块包括：第四显示单元，用于显示待阅读文本并突显当前语句。
在本申请某些实施例中，还包括聆听模块，其中，聆听模块包括：第五显示单元，用于显示待阅读文本，逐句播放待阅读文本并突显当前语句。
在本申请某些实施例中，还包括复述模块，其中，复述模块包括：播放单元，用于逐句播放待阅读文本；第六录音单元，用于在播放当前语句结束后，录制用户复述发音；其中，用户复述发音为用户复述当前语句的语音；以及第六比对单元，用于比对示范发音与用户复述发音，以得到对用户复述发音的复述评价结果。根据本申请实施例的另一个方面，本申请提供了一种计算机可读存储介质，存储介质存储有计算机程序，计算机程序用于执行上述任一个方面提供的辅助阅读的方法。
根据本申请实施例的另一个方面，本申请提供了一种电子设备，电子设备包括：处理器；用于存储处理器可执行指令的存储器；处理器，用于执行上述任一个方面提供的辅助阅读的方法。
本申请实施例提供的一种辅助阅读的方法、装置、存储介质及电子设备，逐句显示并播放待阅读文本，并且在播放当前语句结束后隐藏当前语句，由用户复读当前语句并录制用户的复读发音，通过比对示范发音与用户的复读发音，对用户的复读发音进行评价，通过逐句播放待阅读文本并让用户复读，有助于提高用户的参与程度以及学习效果，并且在播放当前语句结束后将其隐藏，可以避免用户在复读时参考显 示的当前语句，有助于提高用户的听说能力，同时通过对用户复读发音进行评价，可以帮助用户更有针对性的学习及掌握学习内容。
附图简要说明
图1所示为本申请一实施例提供的一种辅助阅读的方法的流程图。
图2所示为本申请另一实施例提供的一种辅助阅读的方法的流程图。
图3所示为本申请另一实施例提供的一种辅助阅读的方法的流程图。
图4所示为本申请另一实施例提供的一种辅助阅读的方法的流程图。
图5所示为本申请另一实施例提供的一种辅助阅读的方法的流程图。
图6所示为本申请另一实施例提供的一种辅助阅读的方法的流程图。
图7所示为本申请另一实施例提供的一种辅助阅读的方法的流程图。
图8所示为本申请一实施例提供的一种评价标准的制定方法的流程图。
图9所示为本申请一实施例提供的一种文本推荐方法的流程图。
图10所示为本申请一实施例提供的一种辅助阅读的装置的结构示意图。
图11所示为本申请一实施例提供的电子设备的框图。
实施本发明的方式
下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
此外，在示例性实施例中，因为相同的参考标记表示具有相同结构的相同部件或相同方法的相同步骤，如果示例性地描述了一实施例，则在其他示例性实施例中仅描述与已描述实施例不同的结构或方法。
在整个说明书及权利要求书中，当一个部件描述为“连接”到另一部件，该一个部件可以“直接连接”到另一部件，或者通过第三部件“电连接”到另一部件。此外，除非明确地进行相反的描述，术语“包括”及其相应术语应仅理解为包括所述部件，而不应该理解为排除任何其他部件。
目前能够用于阅读的应用软件产品，通常只能提供文本内容供用户阅读，或者通过语音播放的方式向用户输入文本内容信息，这样的方式对于学习语言的用户显然是不够的。因为很多用户是通过阅读外文来学习外语的，很可能不能独自完成阅读外语文本，而如果仅仅是通过语音播放给用户，用户也很难完全接受，这样的学习会很被动，导致用户的学习积极性降低，从而放弃学习。
为了解决上述问题，本申请实施例提供了一种辅助阅读的方法、装置、存储介质及电子设备，逐句显示并播放待阅读文本，并且在播放当前语句结束后隐藏当前语句，由用户复读当前语句并录制用户的复读发音，通过比对示范发音与用户的复读发音，对用户的复读发音进行评价，通过逐句播放待阅读文本并让用户复读，有助于提高用户的参与程度以及学习效果，并且在播放当前语句结束后将其隐藏，可以避免用户在复读时参考显示的当前语句，有助于提高用户的听说能力，同时通过对用户复读发音进行评价，可以帮助用户更有针对性的学习及掌握学习内容。
下面结合附图具体说明本申请中各个实施例的具体实现方式：
图1所示为本申请一实施例提供的一种辅助阅读的方法的流程图。如图1所示，该辅助阅读的方法包括复读模式，其中复读模式包括如下步骤，即在复读模式下，执行如下步骤：
步骤110：逐句显示并播放待阅读文本。
当用户开始阅读并且当前阅读模式为复读模式时，手机等终端设备上安装的应用软件的显示界面上逐句显示并播放待阅读文本，即在该应用软件的显示界面上仅显示并播放当前语句，而待阅读文本中的其他语句不显示，避免其他语句对当前语句学习的干扰，以提高用户的专注度。
步骤120：在播放当前语句结束后隐藏当前语句。
在播放当前语句时，显示界面上显示当前语句，而在当前语句的播放结束后，隐藏当前语句，即在当前语句的播放结束后，显示界面上不显示待阅读文本的任何语句，避免用户仅参考当前语句的文本内容进行学习而导致当前语句没有很好的被用户所接收和记忆，从而提高了用户对当前语句的记忆程度。
步骤130：录制用户复读发音；其中，用户复读发音为用户复读当前语句的语音。
通过开启录音设备来录制并获取用户的复读发音，即在播放当前语句结束后，显示界面上隐藏的当前语句，同时开启录音设备来录制用户复读当前语句的语音，其中，录音设备可以包括内置于终端设备中的麦克风等器件。
步骤140：比对示范发音与用户复读发音，以得到对用户复读发音的复读评价结果。
将录制获取的用户复读发音与示范发音进行比对，以得到对用户复读发音的复读评价结果，其中，示范发音为当前语句的标准发音。通过比对用户复读发音与示范发音之间的相似度，并据此给出用户复读发音的复读评价结果，其中复读评价结果可以包括通过和未通过，通过的复读评价结果还可以进一步包括好、很好、非常好等。
由此可知，本申请实施例提供了一种辅助阅读的方法，逐句显示并播放待阅读文本，并且在播放当前语句结束后隐藏当前语句，由用户复读当前语句并录制用户的复读发音，通过比对示范发音与用户的复读发音，对用户的复读发音进行评价，通过逐句播放待阅读文本并让用户复读，有助于提高用户的参与程度以及学习效果，并且在播放当前语句结束后将其隐藏，可以避免用户在复读时参考显示的当前语句，有助于提高用户的听说能力，同时通过对用户复读发音进行评价，可以帮助用户更有针对性的学习及掌握学习内容。
图2所示为本申请另一实施例提供的一种辅助阅读的方法的流程图。如图2所示，在步骤140之后，上述方法还可以包括：
步骤150：当复读评价结果为用户复读发音未通过时，提示用户。
当复读评价结果为未通过时，提示用户未通过，在一实施例中，提示的方式可以是播放提示音“加油”或“继续加油”等鼓励或安慰话语，也可以是通过文字显示上述鼓励或安慰话语，本申请对于提示的具体方式和形式不做限定，避免直接将评价结果的分数反馈给用户而打击用户的学习积极性。
在一实施例中，如图2所示，在步骤140之后，上述复读模式还可以包括如下步骤：
步骤160：当复读评价结果为用户复读发音未通过时，再次录制用户复读发音，得到再次复读发音。
当用户的复读发音未通过时，可以让用户再次复读并再次录制用户的复读发音，以得到再次复读发音。对用户没有掌握或掌握程度不高的语句可以通过多次练习提高用户的掌握程度，在一实施例中，再次录制用户复读发音之前，还可以再次显示并播放当前语句，以实现用户对当前语句的再次学习。
步骤170：比对示范发音与再次复读发音，以得到对再次复读发音的再次复读评价结果。
在录制用户的再次复读发音后，比对示范发音与再次复读发音，以得到再次复读发音的再次复读评价结果。
在一实施例中，如图2所示，当录制次数未超过预设的第一次数阈值且最后一次复读评价结果为对应的复读发音未通过时，再次执行步骤160；当录制次数超过预设的第一次数阈值且最后一次复读评价结果为对应的复读发音未通过时，执行步骤180。
步骤180：提供选择弹窗供用户选择。其中，选择弹窗中包括跳过当前语句和再次录制的选项。应当理解，选择弹窗中的选项可以根据实际应用的需求而设定，本申请对此不做限定。
当用户的复读发音一直未通过且录制次数未超过预设的第一次数阈值(例如3次)时，可以让用户再次尝试，以避免外界杂音对复读发音的干扰而导致的未通过结果；而当用户的复读发音一直未通过且录制次数超过第一次数阈值时，可以提供选择弹窗由用户选择继续练习或者跳过当前语句。
图3所示为本申请另一实施例提供的一种辅助阅读的方法的流程图。如图3所示，该辅助阅读的方法还可以包括朗读模式，其中朗读模式包括如下步骤，即在朗读模式下，执行如下步骤：
步骤210：显示待阅读文本，并且逐句突显当前语句。
本申请提供的辅助阅读的方法除了复读模式，还可以包括朗读模式。当用户开始阅读并且当前阅读模式为朗读模式时，显示界面上显示该待阅读文本的全文并逐句突显当前语句，以使得用户在朗读时注意力集中于当前语句，降低其他语句对当前语句学习的干扰，提高用户的专注度。
步骤220：录制用户朗读发音；其中，用户朗读发音为用户朗读当前语句的语音。
通过开启录音设备来录制并获取用户的朗读发音，即在朗读开始后，显示界面上显示待阅读文本并且逐句突显当前语句，同时开启录音设备来录制用户朗读当前语句的语音，其中，录音设备可以包括内置于终端设备中的麦克风等器件。
步骤230：比对示范发音与用户朗读发音，以得到对用户朗读发音的朗读评价结果。
将录制获取的用户的朗读发音与示范发音进行比对，以得到对用户朗读发音的朗读评价结果，其中，示范发音为当前语句的标准发音。通过比对用户朗读发音与示范发音之间的相似度，并据此给出用户朗读发音的朗读评价结果，其中朗读评价结果可以包括通过和未通过，通过的朗读评价结果还可以进一步包括好、很好、非常好等。
在一实施例中，当朗读评价结果为用户朗读发音未通过时，可以提示用户。当朗读评价结果为未通过时，提示用户未通过，在一实施例中，提示的方式可以是播放提示音“加油”或“继续加油”等鼓励或安慰话语，也可以是通过文字显示上述鼓励或安慰话语，本申请对于提示的具体方式和形式不做限定。
在一实施例中，如图3所示，在步骤230之后，上述朗读模式还可以包括如下步骤：
步骤240：当朗读评价结果为用户朗读发音未通过时，再次录制用户朗读发音，得到再次朗读发音。
当用户的朗读发音未通过时，可以让用户再次朗读并再次录制用户的朗读发音，以得到再次朗读发音。对用户没有掌握或掌握程度不高的语句可以通过多次练习提高用户的掌握程度，在一实施例中，再次录制用户朗读发音之前，还可以播放当前语句，以实现用户对当前语句的学习。
步骤250：比对示范发音与再次朗读发音，以得到对再次朗读发音的再次朗读评价结果。
在录制用户的再次朗读发音后，比对示范发音与再次朗读发音，以得到再次朗读发音的再次朗读评价结果。
在一实施例中，如图3所示，当录制次数未超过预设的第二次数阈值且最后一次朗读评价结果为对应的朗读发音未通过时，再次执行步骤240；当录制次数超过预设的第二次数阈值且最后一次朗读评价结果为对应的朗读发音未通过时，执行步骤260。
步骤260：提供选择弹窗供用户选择。其中，选择弹窗中包括跳过当前语句和再次录制的选项。应当理解，选择弹窗中的选项可以根据实际应用的需求而设定，本申请对此不做限定。
当用户的朗读发音一直未通过且录制次数未超过预设的第二次数阈值(例如3次)时，可以让用户再次尝试，以避免外界杂音对朗读发音的干扰而导致的未通过结果；而当用户的朗读发音一直未通过且录制次数超过第二次数阈值时，可以提供选择弹窗，由用户选择继续练习或者跳过当前语句。
图4所示为本申请另一实施例提供的一种辅助阅读的方法的流程图。如图4所示，该辅助阅读的方法还可以包括听读模式，其中听读模式包括如下步骤，即在听读模式下，执行如下步骤：
步骤310：显示待阅读文本，逐句播放并突显当前语句。
本申请提供的辅助阅读的方法除了复读模式和朗读模式，还可以包括听读模式。当用户开始阅读并且当前阅读模式为听读模式时，显示界面上显示该待阅读文本的全文，逐句播放并突显当前语句，以使得用户在听读时注意力集中于当前语句，降低其他语句对当前语句学习的干扰，提高用户的专注度。
步骤320：录制用户听读发音；其中，用户听读发音为用户听读当前语句的语音。
通过开启录音设备来录制并获取用户的听读发音，即在听读开始后，显示界面上显示待阅读文本并且逐句播放并突显当前语句，同时开启录音设备来录制用户听读当前语句的语音，其中，录音设备可以包括内置于终端设备中的麦克风等器件。
步骤330：比对示范发音与用户听读发音，以得到对用户听读发音的听读评价结果。
将录制获取的用户的听读发音与示范发音进行比对，以得到对用户听读发音的听读评价结果，其中，示范发音为当前语句的标准发音。通过比对用户听读发音与示范发音之间的相似度，并据此给出用户听读发音的听读评价结果，其中听读评价结果可以包括通过和未通过，通过的听读评价结果还可以进一步包括好、很好、非常好等。
在一实施例中，当听读评价结果为用户听读发音未通过时，可以提示用户。当听读评价结果为未通过时，提示用户未通过，在一实施例中，提示的方式可以是播放提示音“加油”或“继续加油”等鼓励或安慰话语，也可以是通过文字显示上述鼓励或安慰话语，本申请对于提示的具体方式和形式不做限定。
在一实施例中，如图4所示，在步骤330之后，上述朗读模式还可以包括如下步骤：
步骤340：当听读评价结果为用户听读发音未通过时，再次录制用户听读发音，得到再次听读发音。
当用户的听读发音未通过时，可以让用户再次听读并再次录制用户的听读发音，以得到再次听读发音。对用户没有掌握或掌握程度不高的语句可以通过多次练习提高用户的掌握程度，在一实施例中，再次录制用户听读发音之前，还可以再次播放当前语句后重新录制用户听读发音，以实现用户对当前语句的进一步学习。
步骤350：比对示范发音与再次听读发音，以得到对再次听读发音的再次听读评价结果。
在录制用户的再次听读发音后，比对示范发音与再次听读发音，以得到再次听读发音的再次听读评价结果。
在一实施例中，如图4所示，当录制次数未超过预设的第三次数阈值且最后一次听读评价结果为对应的听读发音未通过时，再次执行步骤340；当录制次数超过预设的第三次数阈值且最后一次听读评价结果为对应的听读发音未通过时，执行步骤360。
步骤360：提供选择弹窗供用户选择。其中，选择弹窗中包括跳过当前语句和再次录制的选项。应当理解，选择弹窗中的选项可以根据实际应用的需求而设定，本申请对此不做限定。
当用户的听读发音一直未通过且录制次数未超过预设的第三次数阈值(例如3次)时，可以让用户再次尝试，以避免外界杂音对朗读发音的干扰而导致的未通过结果；而当用户的听读发音一直未通过且录制次数超过第三次数阈值时，可以提供选择弹窗，由用户选择继续练习或者跳过当前语句。
图5所示为本申请另一实施例提供的一种辅助阅读的方法的流程图。如图5所示，该辅助阅读的方法还可以包括默读模式，其中默读模式包括如下步骤，即在默读模式下，执行如下步骤：
步骤410：显示待阅读文本并突显当前语句。
本申请提供的辅助阅读的方法除了复读模式、朗读模式、听读模式，还可以包括默读模式。当用户开始阅读并且当前阅读模式为默读模式时，显示界面上显示该待阅读文本的全文，并突显当前语句，以使得用户在默读时注意力集中于当前语句，降低其他语句对当前语句学习的干扰，提高用户的专注度。
在一实施例中，如图5所示，默读模式还可以包括如下步骤：
步骤420：播放待阅读文本。
步骤430：暂停播放待阅读文本。
通过设置暂停/播放按钮，可以在默读模式中选取开启播放待阅读文本和关闭播放待阅读文本，其中开启播放时，可以从当前语句开始播放，也可以从待阅读文本的第一句开始播放，本申请可以根据实际应用场景而选取开启播放时的开始位置，本申请对此不做限定。
图6所示为本申请另一实施例提供的一种辅助阅读的方法的流程图。如图6所示，该辅助阅读的方法还可以包括聆听模式，其中聆听模式包括如下步骤，即在聆听模式下，执行如下步骤：
步骤510：显示待阅读文本，逐句播放待阅读文本并突显当前语句。
本申请提供的辅助阅读的方法除了复读模式、朗读模式、听读模式、默读模式，还可以包括聆听模式。当用户开始阅读并且当前阅读模式为聆听模式时，显示界面上显示该待阅读文本的全文，逐句播放并突显当前语句，以使得用户在聆听时注意力集中于当前语句，降低其他语句对当前语句学习的干扰，提高用户的专注度。
在一实施例中，如图6所示，聆听模式还可以包括如下步骤：
步骤520：根据待阅读文本的内容时长，显示播放进度条。
根据待阅读文本的内容时长，显示播放进度条，以方便用户实时掌握播放进度。
图7所示为本申请另一实施例提供的一种辅助阅读的方法的流程图。如图7所示，该辅助阅读的方法包括复述模式，其中复述模式包括如下步骤，即在复述模式下，执行如下步骤：
步骤610：逐句播放待阅读文本。
本申请提供的辅助阅读的方法除了复读模式、朗读模式、听读模式、默读模式、聆听模式，还可以包括复述模式。当用户开始阅读并且当前阅读模式为复述模式时，显示界面上不显示该待阅读文本的内容，只播放当前语句，以使得用户在聆听时注意力集中于当前语句，以提高用户的专注度和掌握程度。
步骤620：在播放当前语句结束后，录制用户复述发音；其中，用户复述发音为用户复述当前语句的语音。
通过开启录音设备来录制并获取用户的复述发音，即在播放当前语句结束后，同时开启录音设备来录制用户复述当前语句的语音，其中，录音设备可以包括内置于终端设备中的麦克风等器件。
步骤630：比对示范发音与用户复述发音，以得到对用户复述发音的复述评价结果。
将录制获取的用户复述发音与示范发音进行比对，以得到对用户复述发音的复述评价结果，其中，示范发音为当前语句的标准发音。通过比对用户复述发音与示范发音之间的相似度，并据此给出用户复述发音的复述评价结果，其中复述评价结果可以包括通过和未通过，通过的复述评价结果还可以进一步包括好、很好、非常好等。
在一实施例中，当复述评价结果为用户复述发音未通过时，可以提示用户。当复述评价结果为未通过时，提示用户未通过，在一实施例中，提示的方式可以是播放提示音“加油”或“继续加油”等鼓励或安慰话语，也可以是通过文字显示上述鼓励或安慰话语，本申请对于提示的具体方式和形式不做限定，避免直接将评价结果的分数反馈给用户而打击用户的学习积极性。
在一实施例中，如图7所示，在步骤630之后，上述复述模式还可以包括如下步骤：
步骤640：当复述评价结果为用户复述发音未通过时，再次录制用户复述发音，得到再次复述发音。
当用户的复述发音未通过时，可以让用户再次复述并再次录制用户的复述发音，以得到再次复述发音。对用户没有掌握或掌握程度不高的语句可以通过多次练习提高用户的掌握程度，在一实施例中，再次录制用户复述发音之前，还可以再次播放当前语句后重新录制用户复述发音，以实现用户对当前语句的进一步学习。
步骤650：比对示范发音与再次复述发音，以得到对再次复述发音的再次复述评价结果。
在录制用户的再次复述发音后，比对示范发音与再次复述发音，以得到再次复述发音的再次复述评价结果。
在一实施例中，如图7所示，当录制次数未超过预设的第四次数阈值且最后一次复述评价结果为对应的复述发音未通过时，再次执行步骤640；当录制次数超过预设的第四次数阈值且最后一次复述评价结果为对应的复述发音未通过时，执行步骤660。
步骤660：提供选择弹窗供用户选择。其中，选择弹窗中包括跳过当前语句和再次录制的选项。应当理解，选择弹窗中的选项可以根据实际应用的需求而设定，本申请对此不做限定。
当用户的复述发音一直未通过且录制次数未超过预设的第四次数阈值(例如3次)时，可以让用户再次尝试，以避免外界杂音对复述发音的干扰而导致的未通过结果；而当用户的复述发音一直未通过且录制次数超过第四次数阈值时，可以提供选择弹窗由用户选择继续练习或者跳过当前语句。
在一实施例中，本申请可以根据用户的指令切换当前模式至其他模式。例如，当前模式为默读模式，用户可以手动选取聆听模式，将当前的阅读模式切换至聆听模式。通过切换模式，可以提高用户的阅读选项，并且用户可以根据实际需要而选取适合自己的阅读模式，从而更有针对性的提高阅读效果。在切换模式后，切换之前模式中的阅读进度可以不保留，即切换模式之后，在新的阅读模式下重新阅读该待阅读文本。在一实施例中，可以通过设定默认的模式，以实现用户在开启阅读时默认的当前模式。
本申请实施例可以根据实际应用场景而选取上述六种模式中的任一种或多种的组合，优选地，本申请一实施例中，同时包括上述六种模式，通过设置六种模式，可以实现用户在进行阅读时可以先选取难度较小的聆听模式、默读模式了解阅读文本的内容，然后再选取听读模式、朗读模式进行阅读能力的学习，最后再选取复读模式、复述模式对阅读文本进行记忆性重复，利用递进式的学习方式，可以逐步提示用户的阅读水平和能力，特别是对于学习外语的用户，其学习效果较单纯的阅读模式更好。当然也应当理解，本申请实施例中的五种模式，用户可以根据自己的需求而任意选取，并非一定要按照上述递进的顺序进行，本申请实施例对此不做限定。
图8所示为本申请一实施例提供的一种评价标准的制定方法的流程图。如图8所示，用于评价得到上述实施例中的复述评价结果、朗读评价结果、听读评价结果的评价标准的制定可以包括如下步骤：
步骤710：根据用户信息，获取用户水平等级。
不同的用户具备不同的水平等级，例如成人和儿童的阅读水平不同，因此，在制定评价标准时，可以根据用户信息来获知用户的水平等级。在一实施例中，用户信息可以包括用户年龄或者用户国籍。当用户的年龄和国籍不同时，其阅读水平会呈现较大的区别，例如中国人在阅读中文文本时要比外国人阅读中文文本容易的多，因此，一般情况下，在阅读中文文本方面，中国人的水平等级明显高于外国人。
步骤720：根据用户水平等级，制定评价标准。
根据获取的用户水平等级，制定不同的评价标准，即根据用户对于特定类型的待阅读文本的阅读水平等级，制定不同的评价标准，以实现公平评价。
在一实施例中，如图8所示，在步骤720之后，上述评价标准的制定方法还可以包括：
步骤730：根据预设时间段内对用户的综合评价结果，调整评价标准。
由于用户注册时的用户信息不能完全反应用户的阅读水平，因此，用户在经过一段时间的学习后，可以对用户进行综合评价，根据综合评价的结果，调整评价标准，例如用户在学习一段时间之后，其阅读水平有了较大的提升，此时可以适当提高用户的评价标准，并且还可以推荐阅读难度更高的待阅读文本给用户，以鼓励用户再次进步。
在一实施例中，用户在完成当前待阅读文本后，提示阅读完成，并且显示推荐给用户的其他待阅读文本。推荐待阅读文本给用户的实现方式包括：基于待选搜索问题集获取与当前阅读文本相关联的推荐文本集。
当用户在阅读当前文本时，会产生阅读该文本相关文本的需求，此时可基于待选搜索问题集反应的聚焦关联维度，获取相关的推荐文本集。推荐文本集可以使用户深入思考，提高升级自己的认知。此外，从多维度为用户提供选择，跳出固定思维模式，开拓用户辩证多样的思维方式。在一实施例中，可以将所有历史搜索问题按照预设规则(例如，搜索次数、点击次数、有用评价等)进行降序或者升序排列，筛选出满足第一预设条件的待选搜索问题集。其中，第一预设条件可包括以下条件中的一种或多种组合：被输入次数大于等于第一阈值和属于被输入次数最多的前第一预设数量个历史搜索问题。被输入次数越多，代表该搜索问题越被关注、越典型、与当前文章相关性越高，与用户需要搜索的问题的匹配程度越高，可以有效缩短用户构思问题编辑方式的时间，以及有效解答用户的搜索问题，通过设置第一预设条件，筛选出与当前阅读文本逻辑关联性足够的多个维度的搜索问题。
图9所示为本申请一实施例提供的一种文本推荐方法的流程图。如图9所示，上述推荐方法具体包括：
步骤810：获取待选搜索问题集中每个待选搜索问题对应的搜索结果文本列表。
以待选搜索问题集中每个待选搜索问题作为搜索输入条件进行搜索，都会得到与每个待搜索问题对应的搜索结果文本列表。
步骤820：根据待选搜索问题集中待选搜索问题的数量，分别在每个待选搜索问题对应的搜索结果文本列表中筛选出前第二预设数量个搜索结果文本加入推荐文本集。
由于待选搜索问题集是经过筛选得出，满足第一预设条件的待选搜索问题的数量不同，根据待选搜索问题集中待选搜索问题数量的不同，在每个与每个待搜索问题对应的搜索结果文本列表中选取前第二预设数量个搜索结果文本加入推荐文章集。
例如，当筛选出的待选搜索问题集中待选搜索问题的数量是10个，分别以这10个待选搜索问题中的每个待选搜索问题进行搜索得到与每个待选搜索问题对应的每个搜索结果文本列表，在每个搜索结果文本列表中筛选出排名在前1名的搜索结果文本，得到10篇搜索结果文本，10篇搜索结果文本作为推荐文本加入推荐文本集。应当理解，待选搜索问题的数量与第二预设数量存在对应关系，研发人员提前预设待选搜索问题集中待选搜索问题的数量以及第二预设数量，本申请实施例中对选搜索问题的数量与第二预设数量存在对应关系以及具体数值不做限定。
在一个实施例中，当待选搜索问题集中的待选搜索问题的数量为1时，第二预设数量为3。当筛选出的待选搜索问题集中待选搜索问题的数量是3个，分别以这3个待选搜索问题中的每个待选搜索问题进行搜索得到与每个待选搜索问题对应的每个搜索结果文本列表，在每个搜索结果文本列表中筛选出排名在前1名的搜索结果文本，得到3篇搜索结果文本，3篇搜索结果文本作为推荐文本加入推荐文本集。
在一个实施例中，当待选搜索问题集中的待选搜索问题的数量为2或3时，第二预设数量为2。当筛选出的待选搜索问题集中待选搜索问题的数量是2个时，分别以这2个待选搜索问题中的每个待选搜索问题进行搜索，得到与每个待选搜索问题对应的每个搜索结果文本列表，在每个搜索结果文本列表中筛选出排名在前2名的搜索结果文本，得到4篇搜索结果文本，4篇搜索结果文本作为推荐文本加入推荐文本集。
在一个实施例中，当待选搜索问题集中的待选搜索问题的数量大于等于4时，第二预设数量为1。当筛选出的待选搜索问题集中待选搜索问题的数量N个(N≥4)，分别以这N个待选搜索问题中的每个待选搜索问题进行搜索，得到与每个待选搜索问题对应的每个搜索结果文本列表，在每个搜索结果文本列表中筛选出排名在前1名的搜索结果文本，得到N篇搜索结果文本，N篇搜索结果文本作为推荐文本加入推荐文本集。
在一实施例中，如图9所示，上述文本推荐方法还可以包括：
步骤830：当推荐文本集中的推荐文本数量小于第三预设数量时，获取与当前阅读文本对应的多个标签类别，其中每个标签类别包括至少一个标签。
具体而言，当根据待选问题数量筛选出搜索结果文本的总数小于第三预设数量时，例如：当待选搜索问题集中的待选搜索问题的数量为2或3时，得到4篇搜索结果文本，则当前推荐文本集中推荐文本数量为4，而推荐文本集中的推荐文本数量为10(第三预设数量为10)。当前推荐文本集中推荐文本数量被认为是不饱和，则需要从其他维度获取推荐文本继续加入推荐文本集中。获取与当前阅读文本对应的多个标签类别，其中每个标签类别包括至少一个标签。
应当理解，每一篇文本都会预设标签，本申请实施例对每一个标签的具体获得手段不做限定。这些标签按照不同的维度划分为不同标签类别，每个标签类别包括至少一个标签。例如标签类别可包括主要观点类别，主要观点类别包括：相同观点、相似观点、对立观点以及驳斥观点等。
步骤840：根据标签类别中标签的数量，分别在标签对应的搜索结果文本列表筛选出前第四预设数量个搜索结果文本加入推荐文本集。
具体而言，每一个标签类别中包含的标签数量不同，在与每个标签对应的搜索结果文本列表中筛选出前第四预设数量个搜索结果文本加入推荐文本集。
例如，标签类别为主要观点类别，主要观点类别包括：相同观点、相似观点、对立观点以及驳斥观点这4个标签。分别以这4个标签中的每个标签搜索，获取相同观点对应的搜索结果文本列表，相似观点对应的搜索结果文本列表，对立观点对应的搜索结果文本列表以及驳斥观点搜索结果文本列表。分别在对应的搜索结果文本列表，相似观点对应的搜索结果文本列表，对立观点对应的搜索结果文本列表中筛选出排名在前1名的搜索结果文本，得到4篇搜索结果文本，4篇搜索结果文本作为推荐文本加入推荐文本集。应当理解，标签类别中标签的数量与第四预设数量存在对应关系，研发人员提前预设标签类别中标签的数量与第四预设数量，本申请实施例中对标签类别中标签的数量与第四预设数量以及具体数值不做限定。
在一实施例中，如图9所示，上述文本推荐方法还可以包括：
步骤850：当推荐文本集中的推荐文本数量小于第三预设数量时，优先根据优先级选择较高的标签类别中标签的数量，分别在优先级选择较高的标签类别中标签对应的搜索结果文本列表筛选出前第四预设数量个搜索结果文本加入推荐文本集。
具体而言，标签类别之间存在优先级，例如：标签类别包括：主要观点标签类别、关键词标签类别、主要人物标签类别以及主要人物性格标签类别4类，这4类之间存在优先级。主要观点标签类别优先级别最高、关键词标签类别、主要人物标签类别以及主要人物性格标签优先级相同但都低于主要观点标签类别。在推荐文本集中的推荐文本数量小于第三预设数量时，首先根据主要观点标签类别中主要观点标签的数量，分别在主要观点标签对应的搜索结果文本列表筛选出前第四预设数量个搜索结果文本加入推荐文本集。当加入在主要标签对应的文本列表中筛选出的推荐文本后，如果推荐文本集中的推荐文本数量已达到第三预设数量，则停止继续筛选；如果推荐文本集中的推荐文本数量仍然小于第三预设数量，则根据关键词标签类别关键词标签数量、主要人物标签类别中主要任务数量以及主要人物性格标签类别中主要人物性 格数量，分别从关键词标签对应的搜索结果文本列表中、主要人物标签类别对应的搜索结果文本列表中，以及主要人物性格标签类别对应的搜索结果文本列表中，筛选出推荐文本。
在一实施例中，多个标签类别包括主要观点类别，每个主要观点类别包括至少一个主要观点标签；步骤840可具体包括：根据主要观点类别中主要观点标签的数量，分别在主要观点标签对应的搜索结果文本列表中，筛选出前第四预设数量个搜索结果文本加入推荐文本集。
具体而言，标签类别为主要观点类别，主要观点类别包括：相同观点、相似观点、对立观点以及驳斥观点这4个标签。分别以这4个标签中的每个标签搜索，获取相同观点对应的搜索结果文本列表，相似观点对应的搜索结果文本列表，对立观点对应的搜索结果文本列表以及驳斥观点搜索结果文本列表。分别在对应的搜索结果文本列表，相似观点对应的搜索结果文本列表，对立观点对应的搜索结果文本列表中筛选出排名在前1名的搜索结果文本，得到3篇搜索结果文本，4篇搜索结果文本作为推荐文本加入推荐文本集。应当理解，标签类别中标签的数量与第四预设数量存在对应关系，研发人员提前预设标签类别中标签的数量与第四预设数量，本申请实施例中对标签类别中标签的数量与第四预设数量以及具体数值不做限定。
在一个实施例中，当主要观点类别中主要观点标签的数量为1时，第四预设数量为3，获取该1个主要观点对应的搜索结果文本列表，在此主要观点对应的搜索结果文本列表中，筛选出排名在前3名的搜索结果文本，得到3篇搜索结果文本，3篇搜索结果文本作为推荐文本加入推荐文本集。
在一个实施例中，当主要观点类别中主要观点标签的数量为2或3时，第四预设数量为2，获取该2或3个主要观点对应的搜索结果文本列表，分别在该2或3主要观点对应的搜索结果文本列表中，筛选出排名在前2名的搜索结果文本，得到4或6篇搜索结果文本，4或6篇搜索结果文本作为推荐文本加入推荐文本集。
在一个实施例中，当主要观点类别中主要观点标签的数量为M(M大于等于4)时，第四预设数量为1，获取该M个主要观点对应的搜索结果文本列表，在此M个主要观点对应的搜索结果文本列表中，筛选出排名在前1名的搜索结果文本，得到M篇搜索结果文本，M篇搜索结果文本作为推荐文本加入推荐文本集。
在一个实施例中，标签类别包括关键词类别，每个关键词类别包括至少一个关键词标签；步骤840具体包括：根据关键词类别中关键词标签的数量，分别在关键词标签对应的搜索结果文本列表中，筛选出前第四预设数量个搜索结果文本加入推荐文本集。
在一个实施例中，当关键词类别中关键词标签的数量为1时，第四预设数量为3；当关键词类别中关键词标签的数量为2或3时，第四预设数量为2；当关键词类别中关键词标签的数量大于等于4时，第四预设数量为1。
在一个实施例中，多个标签类别包括主要角色类别，每个主要角色类别包括至少一个主要角色标签；步骤840具体包括：根据主要角色类别中主要角色标签的数量，分别在主要角色标签对应的搜索结果文本列表中，筛选出前第四预设数量个搜索结果文本加入所述推荐文本集。
在一个实施例中，当主要角色类别中主要角色标签的数量为1时，第四预设数量为3；当主要角色类别中主要角色标签的数量为2或3时，第四预设数量为2；当主要角色类别中主要角色标签的数量大于等于4时，第四预设数量为1。
在一个实施例中，多个标签类别包括主要角色性格类别，每个主要角色性格类别包括至少一个主要角色性格标签；步骤840具体包括：根据主要角色性格类别中主要角色性格标签的数量，分别在主要角色性格标签对应的搜索结果文本列表中，筛选出前第四预设数量个搜索结果文本加入所述推荐文本集。
在一个实施例中，当主要角色性格类别中主要角色性格标签的数量为1时，第四预设数量为3；当主要角色性格类别中主要角色性格标签的数量为2或3时，第四预设数量为2；当主要角色性格类别中主要角色性格标签的数量大于等于4时，第四预设数量为1。
图10所示为本申请一实施例提供的一种辅助阅读的装置的结构示意图。如图10所示，该辅助阅读的装置7包括：复读模块71，其中复读模块71包括：第一显示单元711，用于逐句显示并播放待阅读文本；隐藏单元712，用于在播放当前语句结束后隐藏当前语句；第一录音单元713，用于录制用户复读发音；其中，用户复读发音为用户复读当前语句的语音；第一比对单元714，用于比对示范发音与用户复读发音，以得到对用户复读发音的复读评价结果。
本申请提供的辅助阅读的装置，第一显示单元711逐句显示并播放待阅读文本，并且隐藏单元712在播放当前语句结束后隐藏当前语句，由用户复读当前语句并第一录音单元713录制用户的复读发音，通过第一比对单元714比对示范发音与用户的复读发音，对用户的复读发音进行评价，通过逐句播放待阅读文本并让用户复读，有助于提高用户的参与程度以及学习效果，并且在播放当前语句结束后将其隐藏，可以避免用户在复读时参考显示的当前语句，有助于提高用户的听说能力，同时通过对用户复读发音进行评价，可以帮助用户更有针对性的学习及掌握学习内容。
在一实施例中，复读模块71进一步配置为：当评价结果为该复读发音未通过时，再次录制用户复读发音，得到再次复读发音；比对示范发音与再次复读发音，以得到对再次复读发音的再次复读评价结果；当再次复读评价结果为再次复读发音未通过时，再次提示用户；当录制次数未超过预设的第一次数阈值且最后一次复读评价结果为对应的复读发音未通过时，再次录制；当录制次数超过预设的第一次数阈值且最后一次复读评价结果为对应的复读发音未通过时，提供选择弹窗供用户选择，其中，选择弹窗中包括跳过当前语句和再次录制的选项。
在一实施例中，如图10所示，该辅助阅读的装置7还可以包括朗读模块72，其中朗读模块72包括：第二显示单元721，用于显示待阅读文本，并且逐句突显当前语句；第二录音单元722，用于录制用户朗读发音；其中，用户朗读发音为用户朗读当前语句的语音；第二比对单元723，用于比对示范发音与用户朗读发音，以得到对用户朗读发音的朗读评价结果。
在一实施例中，朗读模块72进一步配置为：当评价结果为该朗读发音未通过时，再次录制用户朗读发音，得到再次朗读发音；比对示范发音与再次朗读发音，以得到对再次朗读发音的再次朗读评价结果；当再次朗读评价结果为再次朗读发音未通过时，再次提示用户；当录制次数未超过预设的第二次数阈值且最后一次朗读评价结果为对应的朗读发音未通过时，再次录制；当录制次数超过预设的第二次数阈值且最后一次朗读评价结果为对应的朗读发音未通过时，提供选择弹窗供用户选择，其中，选择弹窗中包括跳过当前语句和再次录制的选项。
在一实施例中，如图10所示，该辅助阅读的装置7还可以包括听读模块73，其中听读模块73包括：第三显示单元731，用于显示待阅读文本，逐句播放并突显当前语句；第三录音单元732，用于录制用户听读发音；其中，用户听读发音为用户听读当前语句的语音；第三比对单元733，用于比对示范发音与用户听读发音，以得到对用户听读发音的听读评价结果。
在一实施例中，听读模块73进一步配置为：当评价结果为该听读发音未通过时，再次录制用户听读发音，得到再次听读发音；比对示范发音与再次听读发音，以得到对再次听读发音的再次听读评价结果；当再次听读评价结果为再次听读发音未通过时，再次提示用户；当录制次数未超过预设的第三次数阈值且最后一次听读评价结果为对应的听读发音未通过时，再次录制；当录制次数超过预设的第三次数阈值且最后一次听读评价结果为对应的听读发音未通过时，提供选择弹窗供用户选择，其中，选择弹窗中包括跳过当前语句和再次录制的选项。
在一实施例中，如图10所示，该辅助阅读的装置7还可以包括默读模块74，其中默读模块74包括：第四显示单元741，用于显示待阅读文本并突显当前语句。
在一实施例中，如图10所示，默读模块74还可以包括：播放单元742，用于播放待阅读文本；暂停单元743，用于暂停播放待阅读文本。
在一实施例中，如图10所示，该辅助阅读的装置7还可以包括聆听模块75，其中聆听模块75包括：第五显示单元751，用于显示待阅读文本，逐句播放待阅读文本并突显当前语句。
在一实施例中，如图10所示，聆听模块75还可以包括：进度显示单元752，用于根据待阅读文本的内容时长，显示播放进度条。
在一实施例中，如图10所示，该辅助阅读的装置7还可以包括复述模块76，其中复述模块76包括：播放单元761，用于逐句播放待阅读文本；第六录音单元762，用于在播放当前语句结束后，录制用户复述发音；其中，用户复述发音为用户复述当前语句的语音；以及第六比对单元763，用于比对示范发音与用户复述发音，以得到对用户复述发音的复述评价结果。
在一实施例中，复述模块76进一步配置为：当评价结果为该复述发音未通过时，再次录制用户复述发音，得到再次复述发音；比对示范发音与再次复述发音，以得到对再次复述发音的再次复述评价结果；当再次复述评价结果为再次复述发音未通过时，再次录制用户复述发音，得到再次复述发音；比对示范发音与再次复述发音，以得到对再次复述发音的再次复述评价结果；当录制次数未超过预设的第四次数阈值且最后一次复述评价结果为对应的复述发音未通过时，再次录制；当录制次数超过预设的第四次数阈值且最后一次复述评价结果为对应的复述发音未通过时，提供选择弹窗供用户选择；其中，所述选择弹窗中包括跳过所述当前语句和再次录制的选项。
在一实施例中，如图10所示，该辅助阅读的装置7还可以包括：切换模块77，用于切换当前模块至其他模块。
在一实施例中，如图10所示，该辅助阅读的装置7还可以包括评价标准制定模块78，其中评价标准制定模块78包括：等级确定单元781，用于根据用户信息，获取用户水平等级；其中，用户信息可以包括用户年龄或者用户国籍等；标准制定单元782，用于根据用户水平等级，制定评价标准；标准调整单元783，用于根据预设时间段内对用户的综合评价结果，调整评价标准。
在一实施例中，如图10所示，该辅助阅读的装置7还可以包括推荐模块79，其中推荐模块79包括：搜索结果获取单元791，用于获取待选搜索问题集中每个待选搜索问题对应的搜索结果文本列表；推荐文本 获取单元792，用于根据待选搜索问题集中待选搜索问题的数量，分别在每个待选搜索问题对应的搜索结果文本列表中筛选出前第二预设数量个搜索结果文本加入推荐文本集。
在一个实施例中，推荐文本获取单元792可以进一步配置为：当待选搜索问题集中的待选搜索问题的数量为1时，第二预设数量为3。在一个实施例中，推荐文本获取单元792可以进一步配置为：当待选搜索问题集中的待选搜索问题的数量为2或3时，第二预设数量为2。在一个实施例中，推荐文本获取单元792可以进一步配置为：当待选搜索问题集中的待选搜索问题的数量大于等于4时，第二预设数量为1。
在一实施例中，推荐文本获取单元792可以进一步配置为：当推荐文本集中的推荐文本数量小于第三预设数量时，获取与当前阅读文本对应的多个标签类别，其中每个标签类别包括至少一个标签；推荐文本集构建单元794，用于根据标签类别中标签的数量，分别在标签对应的搜索结果文本列表筛选出前第四预设数量个搜索结果文本加入推荐文本集。
在一实施例中，推荐文本获取单元792可以进一步配置为：当推荐文本集中的推荐文本数量小于第三预设数量时，优先根据优先级选择较高的标签类别中标签的数量，分别在优先级选择较高的标签类别中标签对应的搜索结果文本列表筛选出前第四预设数量个搜索结果文本加入推荐文本集。
在一实施例中，多个标签类别包括主要观点类别，每个主要观点类别包括至少一个主要观点标签；推荐文本获取单元792可以进一步配置为：根据主要观点类别中主要观点标签的数量，分别在主要观点标签对应的搜索结果文本列表中筛选出前第四预设数量个搜索结果文本加入推荐文本集。
在一个实施例中，推荐文本获取单元792可以进一步配置为：当主要观点类别中主要观点标签的数量为1时，第四预设数量为3，获取该1个主要观点对应的搜索结果文本列表。在一个实施例中，推荐文本获取单元792可以进一步配置为：当主要观点类别中主要观点标签的数量为1时，第四预设数量为3，获取该1个主要观点对应的搜索结果文本列表。在一个实施例中，推荐文本获取单元792可以进一步配置为：当主要观点类别中主要观点标签的数量为2或3时，第四预设数量为2，获取该2或3个主要观点对应的搜索结果文本列表。在一个实施例中，推荐文本获取单元792可以进一步配置为：当主要观点类别中主要观点标签的数量为M(M大于等于4)时，第四预设数量为1，获取该M个主要观点对应的搜索结果文本列表。
在一个实施例中，标签类别包括关键词类别，每个关键词类别包括至少一个关键词标签；推荐文本获取单元792可以进一步配置为：根据关键词类别中关键词标签的数量，分别在关键词标签对应的搜索结果文本列表中筛选出前第四预设数量个搜索结果文本加入推荐文本集。在一个实施例中，推荐文本获取单元792可以进一步配置为：当关键词类别中关键词标签的数量为1时，第四预设数量为3；当关键词类别中关键词标签的数量为2或3时，第四预设数量为2；当关键词类别中关键词标签的数量大于等于4时，第四预设数量为1。
在一个实施例中，多个标签类别包括主要角色类别，每个主要角色类别包括至少一个主要角色标签；推荐文本获取单元792可以进一步配置为：根据主要角色类别中主要角色标签的数量，分别在主要角色标签对应的搜索结果文本列表中，筛选出前第四预设数量个搜索结果文本加入所述推荐文本集。在一个实施例中，推荐文本获取单元792可以进一步配置为：当主要角色类别中主要角色标签的数量为1时，第四预设数量为3；当主要角色类别中主要角色标签的数量为2或3时，第四预设数量为2；当主要角色类别中主要角色标签的数量大于等于4时，第四预设数量为1。
在一个实施例中，多个标签类别包括主要角色性格类别，每个主要角色性格类别包括至少一个主要角色性格标签；推荐文本获取单元792可以进一步配置为：根据主要角色性格类别中主要角色性格标签的数量，分别在主要角色性格标签对应的搜索结果文本列表中筛选出前第四预设数量个搜索结果文本加入所述推荐文本集。在一个实施例中，推荐文本获取单元792可以进一步配置为：当主要角色性格类别中主要角色性格标签的数量为1时，第四预设数量为3；当主要角色性格类别中主要角色性格标签的数量为2或3时，第四预设数量为2；当主要角色性格类别中主要角色性格标签的数量大于等于4时，第四预设数量为1。
下面，参考图11来描述根据本申请实施例的电子设备。该电子设备可以是第一设备和第二设备中的任一个或两者、或与它们独立的单机设备，该单机设备可以与第一设备和第二设备进行通信，以从它们接收所采集到的输入信号。
图11所示为本申请一实施例提供的电子设备的框图。如图11所示，电子设备10包括一个或多个处理器11和存储器12。
处理器11可以是中央处理单元(CPU)或者具有数据处理能力和/或指令执行能力的其他形式的处理单元，并且可以控制电子设备10中的其他组件以执行期望的功能。
存储器12可以包括一个或多个计算机程序产品，所述计算机程序产品可以包括各种形式的计算机可读存储介质，例如易失性存储器和/或非易失性存储器。所述易失性存储器例如可以包括随机存取存储器(RAM)和/或高速缓冲存储器(cache)等。所述非易失性存储器例如可以包括只读存储器(ROM)、硬盘、闪存等。在所述计算机可读存储介质上可以存储一个或多个计算机程序指令，处理器11可以运行所述 程序指令，以实现上文所述的本申请的各个实施例的辅助阅读的方法以及/或者其他期望的功能。在所述计算机可读存储介质中还可以存储诸如输入信号、信号分量、噪声分量等各种内容。
在一个示例中，电子设备10还可以包括：输入装置13和输出装置14，这些组件通过总线系统和/或其他形式的连接机构(未示出)互连。
例如，在该电子设备是第一设备或第二设备时，该输入装置13可以是麦克风或麦克风阵列，用于捕捉声源的输入信号。在该电子设备是单机设备时，该输入装置13可以是通信网络连接器，用于从第一设备和第二设备接收所采集的输入信号。
此外，该输入设备13还可以包括例如键盘、鼠标等等。
该输出装置14可以向外部输出各种信息，包括确定出的距离信息、方向信息等。该输出设备14可以包括例如显示器、扬声器、打印机、以及通信网络及其所连接的远程输出设备等等。
当然，为了简化，图11中仅示出了该电子设备10中与本申请有关的组件中的一些，省略了诸如总线、输入/输出接口等等的组件。除此之外，根据具体应用情况，电子设备10还可以包括任何其他适当的组件。
除了上述方法和设备以外，本申请的实施例还可以是计算机程序产品，其包括计算机程序指令，所述计算机程序指令在被处理器运行时使得所述处理器执行本说明书上述“示例性方法”部分中描述的根据本申请各种实施例的辅助阅读的方法中的步骤。
所述计算机程序产品可以以一种或多种程序设计语言的任意组合来编写用于执行本申请实施例操作的程序代码，所述程序设计语言包括面向对象的程序设计语言，诸如Java、C++等，还包括常规的过程式程序设计语言，诸如“C”语言或类似的程序设计语言。程序代码可以完全地在用户计算设备上执行、部分地在用户设备上执行、作为一个独立的软件包执行、部分在用户计算设备上部分在远程计算设备上执行、或者完全在远程计算设备或服务器上执行。
此外，本申请的实施例还可以是计算机可读存储介质，其上存储有计算机程序指令，所述计算机程序指令在被处理器运行时使得所述处理器执行本说明书上述“示例性方法”部分中描述的根据本申请各种实施例的辅助阅读的方法中的步骤。
所述计算机可读存储介质可以采用一个或多个可读介质的任意组合。可读介质可以是可读信号介质或者可读存储介质。可读存储介质例如可以包括但不限于电、磁、光、电磁、红外线、或半导体的系统、装置或器件，或者任意以上的组合。可读存储介质的更具体的例子(非穷举的列表)包括：具有一个或多个导线的电连接、便携式盘、硬盘、随机存取存储器(RAM)、只读存储器(ROM)、可擦式可编程只读存储器(EPROM或闪存)、光纤、便携式紧凑盘只读存储器(CD-ROM)、光存储器件、磁存储器件、或者上述的任意合适的组合。
以上结合具体实施例描述了本申请的基本原理，但是，需要指出的是，在本申请中提及的优点、优势、效果等仅是示例而非限制，不能认为这些优点、优势、效果等是本申请的各个实施例必须具备的。另外，上述公开的具体细节仅是为了示例的作用和便于理解的作用，而非限制，上述细节并不限制本申请为必须采用上述具体的细节来实现。
本申请中涉及的器件、装置、设备、系统的方框图仅作为例示性的例子并且不意图要求或暗示必须按照方框图示出的方式进行连接、布置、配置。如本领域技术人员将认识到的，可以按任意方式连接、布置、配置这些器件、装置、设备、系统。诸如“包括”、“包含”、“具有”等等的词语是开放性词汇，指“包括但不限于”，且可与其互换使用。这里所使用的词汇“或”和“和”指词汇“和/或”，且可与其互换使用，除非上下文明确指示不是如此。这里所使用的词汇“诸如”指词组“诸如但不限于”，且可与其互换使用。
还需要指出的是，在本申请的装置、设备和方法中，各部件或各步骤是可以分解和/或重新组合的。这些分解和/或重新组合应视为本申请的等效方案。
提供所公开的方面的以上描述以使本领域的任何技术人员能够做出或者使用本申请。对这些方面的各种修改对于本领域技术人员而言是非常显而易见的，并且在此定义的一般原理可以应用于其他方面而不脱离本申请的范围。因此，本申请不意图被限制到在此示出的方面，而是按照与在此公开的原理和新颖的特征一致的最宽范围。
为了例示和描述的目的已经给出了以上描述。此外，此描述不意图将本申请的实施例限制到在此公开的形式。尽管以上已经讨论了多个示例方面和实施例，但是本领域技术人员将认识到其某些变型、修改、改变、添加和子组合。

Claims (31)

  1. 一种辅助阅读的方法，其特征在于，包括复读模式，其中所述复读模式包括：
    逐句显示并播放待阅读文本；
    在播放当前语句结束后隐藏所述当前语句；
    录制用户复读发音；其中，所述用户复读发音为用户复读所述当前语句的语音；以及
    比对示范发音与所述用户复读发音，以得到对所述用户复读发音的复读评价结果。
  2. 根据权利要求1所述的方法，其特征在于，在所述得到对所述用户复读发音的复读评价结果之后，所述复读模式还包括：
    当所述复读评价结果为所述用户复读发音未通过时，提示用户。
  3. 根据权利要求1所述的方法，其特征在于，在所述得到对所述用户复读发音的复读评价结果之后，所述复读模式还包括：
    当所述复读评价结果为所述用户复读发音未通过时，再次录制用户复读发音，得到再次复读发音；以及
    比对所述示范发音与所述再次复读发音，以得到对所述再次复读发音的再次复读评价结果。
  4. 根据权利要求3所述的方法，其特征在于，所述复读模式还包括：
    当录制次数超过预设的第一次数阈值且最后一次复读评价结果为对应的复读发音未通过时，提供选择弹窗供用户选择；其中，所述选择弹窗中包括跳过所述当前语句和再次录制的选项。
  5. 根据权利要求1至4中任一项所述的方法，其特征在于，还包括朗读模式，其中，所述朗读模式包括：
    显示所述待阅读文本，并且逐句突显所述当前语句；
    录制用户朗读发音；其中，所述用户朗读发音为用户朗读所述当前语句的语音；以及
    比对所述示范发音与所述用户朗读发音，以得到对所述用户朗读发音的朗读评价结果。
  6. 根据权利要求5所述的方法，其特征在于，在所述得到对所述用户朗读发音的朗读评价结果之后，所述朗读模式还包括：
    当所述朗读评价结果为所述用户朗读发音未通过时，再次录制用户朗读发音，得到再次朗读发音；以及
    比对所述示范发音与所述再次朗读发音，以得到对所述再次朗读发音的再次朗读评价结果。
  7. 根据权利要求6所述的方法，其特征在于，所述朗读模式还包括：
    当录制次数超过预设的第二次数阈值且最后一次朗读评价结果为对应的朗读发音未通过时，提供选择弹窗供用户选择；其中，所述选择弹窗中包括跳过所述当前语句和再次录制的选项。
  8. 根据权利要求1至7中任一项所述的方法，其特征在于，还包括听读模式，其中，所述听读模式包括：
    显示所述待阅读文本，逐句播放并突显所述当前语句；
    录制用户听读发音；其中，所述用户听读发音为用户听读所述当前语句的语音；以及
    比对所述示范发音与所述用户听读发音，以得到对所述用户听读发音的听读评价结果。
  9. 根据权利要求8所述的方法，其特征在于，在所述得到对所述用户听读发音的听读评价结果之后，所述听读模式还包括：
    当所述听读评价结果为所述用户听读发音未通过时，再次录制用户听读发音，得到再次听读发音；以及
    比对所述示范发音与所述再次听读发音，以得到对所述再次听读发音的再次听读评价结果。
  10. 根据权利要求9所述的方法，其特征在于，所述再次录制用户听读发音包括：
    再次播放所述当前语句；以及
    重新录制用户听读发音。
  11. 根据权利要求9所述的方法，其特征在于，所述听读模式还包括：
    当录制次数超过预设的第三次数阈值且最后一次听读评价结果为对应的听读发音未通过时，提供选择弹窗供用户选择；其中，所述选择弹窗中包括跳过所述当前语句和再次录制的选项。
  12. 根据权利要求1至11中任一项所述的方法，其特征在于，还包括默读模式，其中，所述默读模式包括：
    显示所述待阅读文本并突显所述当前语句。
  13. 根据权利要求12所述的方法，其特征在于，所述默读模式还包括：
    播放所述待阅读文本；以及
    暂停播放所述待阅读文本。
  14. 根据权利要求1至13中任一项所述的方法，其特征在于，还包括聆听模式，其中，所述聆听模式包括：
    显示所述待阅读文本，逐句播放所述待阅读文本并突显所述当前语句。
  15. 根据权利要求14所述的方法，其特征在于，所述聆听模式还包括：
    根据所述待阅读文本的内容时长，显示播放进度条。
  16. 根据权利要求1至15中任一项所述的方法，其特征在于，还包括复述模式，其中，所述复述模式包括：
    逐句播放所述待阅读文本；
    在播放所述当前语句结束后，录制用户复述发音；其中，所述用户复述发音为用户复述所述当前语句的语音；以及
    比对所述示范发音与所述用户复述发音，以得到对所述用户复述发音的复述评价结果。
  17. 根据权利要求16所述的方法，其特征在于，在所述得到对所述用户复述发音的复述评价结果之后，所述复述模式还包括：
    当所述再次复述评价结果为所述再次复述发音未通过时，再次录制用户复述发音，得到再次复述发音；以及
    比对所述示范发音与所述再次复述发音，以得到对所述再次复述发音的再次复述评价结果。
  18. 根据权利要求17所述的方法，其特征在于，所述再次录制用户复述发音包括：
    再次播放所述当前语句；以及
    重新录制用户复述发音。
  19. 根据权利要求17所述的方法，其特征在于，所述复述模式还包括：
    当录制次数超过预设的第四次数阈值且最后一次复述评价结果为对应的复述发音未通过时，提供选择弹窗供用户选择；其中，所述选择弹窗中包括跳过所述当前语句和再次录制的选项。
  20. 根据权利要求1至19中任一项所述的方法，其特征在于，还包括：
    切换当前模式至其他模式。
  21. 根据权利要求1至20中任一项所述的方法，其特征在于，还包括：
    根据用户信息，获取用户水平等级；以及
    根据所述用户水平等级，制定评价标准。
  22. 根据权利要求21所述的方法，其特征在于，所述用户信息包括用户年龄或者用户国籍。
  23. 根据权利要求21所述的方法，其特征在于，在所述制定评价标准后，还包括：
    根据预设时间段内对用户的综合评价结果，调整所述评价标准。
  24. 一种辅助阅读的装置，其特征在于，包括复读模块，其中所述复读模块包括：
    第一显示单元，用于逐句显示并播放待阅读文本；
    隐藏单元，用于在播放当前语句结束后隐藏所述当前语句；
    第一录音单元，用于录制用户复读发音；其中，所述用户复读发音为用户复读所述当前语句的语音；以及
    第一比对单元，用于比对示范发音与所述用户复读发音，以得到对所述用户复读发音的复读评价结果。
  25. 根据权利要求24所述的装置，其特征在于，还包括朗读模块，其中，所述朗读模块包括：
    第二显示单元，用于显示所述待阅读文本，并且逐句突显所述当前语句；
    第二录音单元，用于录制用户朗读发音；其中，所述用户朗读发音为用户朗读所述当前语句的语音；以及
    第二比对单元，用于比对所述示范发音与所述用户朗读发音，以得到对所述用户朗读发音的朗读评价结果。
  26. 根据权利要求24或25所述的装置，其特征在于，还包括听读模块，其中，所述听读模块包括：
    第三显示单元，用于显示所述待阅读文本，逐句播放并突显所述当前语句；
    第三录音单元，用于录制用户听读发音；其中，所述用户听读发音为用户听读所述当前语句的语音；以及
    第三比对单元，用于比对所述示范发音与所述用户听读发音，以得到对所述用户听读发音的听读评价结果。
  27. 根据权利要求24至26中任一项所述的装置，其特征在于，还包括默读模块，其中，所述默读模块包括：
    第四显示单元，用于显示所述待阅读文本并突显所述当前语句。
  28. 根据权利要求24至27中任一项所述的装置，其特征在于，还包括聆听模块，其中，所述聆听模块包括：
    第五显示单元，用于显示所述待阅读文本，逐句播放所述待阅读文本并突显所述当前语句。
  29. 根据权利要求24至28中任一项所述的装置，其特征在于，还包括复述模块，其中，所述复述模块包括：
    播放单元，用于逐句播放所述待阅读文本；
    第六录音单元，用于在播放所述当前语句结束后，录制用户复述发音；其中，所述用户复述发音为用户复述所述当前语句的语音；以及
    第六比对单元，用于比对所述示范发音与所述用户复述发音，以得到对所述用户复述发音的复述评价结果。
  30. 一种计算机可读存储介质，所述存储介质存储有计算机程序，所述计算机程序用于执行上述权利要求1-23任一所述的方法。
  31. 一种电子设备，所述电子设备包括：
    处理器；
    用于存储所述处理器可执行指令的存储器；
    所述处理器，用于执行上述权利要求1-23任一所述的方法。
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