CN111027794A - Dictation operation correcting method and learning equipment - Google Patents
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Abstract
A dictation operation correcting method and learning equipment, the method includes: matching standard raw words contained in the standard dictation content with raw words to be matched at corresponding positions in the actual dictation content according to the reading sequence; if the matching of the standard raw word and the raw word to be matched at the corresponding position fails, matching the standard raw word and other raw words to be matched except the raw word to be matched at the corresponding position in the actual dictation content; and if the standard word is successfully matched with any other word to be matched, determining that the user correctly writes the standard word. By implementing the embodiment of the invention, the dictation operation can be flexibly modified, so that the modification result of the dictation operation is more humanized.
Description
Technical Field
The invention relates to the technical field of education, in particular to a dictation operation correcting method and learning equipment.
Background
Dictation is a common practice form in primary school languages. For the modification of dictation, a manual modification mode is mainly adopted in the past, namely, parents or teachers manually modify the dictation. The manual correction method has the problem of low correction efficiency.
In order to improve the correction efficiency, the current dictation operation generally adopts machine correction. However, a common drawback of the current machine correction method is that the machine correction is provided with a strict correction standard, and once the dictation content of the user is inconsistent with the standard answer, it is determined that the dictation content has a dictation error. Therefore, the current listening and writing operation correction mode is too rigid and lacks of humanization.
Disclosure of Invention
The embodiment of the invention discloses a dictation operation correcting method and learning equipment, which can flexibly correct dictation operations and enable correcting results of the dictation operations to be more humanized.
The first aspect of the embodiment of the invention discloses a dictation operation correcting method, which comprises the following steps:
matching standard raw words contained in the standard dictation content with raw words to be matched at corresponding positions in the actual dictation content according to the reading sequence;
if the matching of the standard raw word and the raw word to be matched at the corresponding position fails, matching the standard raw word and other raw words to be matched except the raw word to be matched at the corresponding position in the actual dictation content;
and if the standard word is successfully matched with any one of the other word to be matched, determining that the user correctly writes the standard word.
As an optional implementation manner, in the first aspect of this embodiment of the present invention, the method further includes:
pushing a plurality of dictation contents to be selected according to a preset dictation task arrangement, and after a user selects target dictation contents to be selected from the plurality of dictation contents to be selected, reading the target dictation contents to be selected as standard dictation contents so that the user completes the dictation task of the standard dictation contents;
and acquiring the actual dictation content of the user, and executing the step of matching the standard raw words contained in the standard dictation content with the raw words to be matched at the corresponding positions in the actual dictation content according to the reading and reporting sequence.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, after the user selects a target dictation content to be selected from a plurality of dictation contents to be selected, the method further includes:
determining a difficulty level corresponding to the target dictation content to be selected;
acquiring the examination score of a user in a preset time period;
judging whether the difficulty level corresponding to the target dictation content to be selected is matched with the examination score or not;
and if the target content to be selected is matched with the standard dictation content, the step of reading the target content to be selected as the standard dictation content is executed so that a user can finish the dictation task of the standard dictation content.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the determining a difficulty level corresponding to the target dictation content to be selected includes:
evaluating the target dictation content to be selected by taking pronunciation as a first evaluation index to obtain a first evaluation score;
evaluating the target dictation content to be selected by taking the font as a second evaluation index to obtain a second evaluation score;
and determining the difficulty level corresponding to the target dictation content to be selected according to the first evaluation score and the second evaluation score.
As an optional implementation manner, in the first aspect of this embodiment of the present invention, the method further includes:
if the standard raw word fails to be matched with all the other raw words to be matched, determining that the user wrongly writes the standard raw word;
analyzing the pronunciation and the font of the standard raw words;
acquiring a first practised raw word with the similarity of the pronunciation of the standard raw word higher than a first threshold value and acquiring a second practised raw word with the similarity of the font of the standard raw word higher than a second threshold value;
when detecting that the user has a dictation demand, pushing practice dictation contents for the user to perform dictation; wherein the practice dictation content is composed of the first and second practised raw words.
A second aspect of the embodiments of the present invention discloses a learning apparatus, including:
the matching unit is used for matching standard raw words contained in standard dictation content with raw words to be matched at corresponding positions in actual dictation content according to a reading sequence, and matching the standard raw words with other raw words to be matched except the raw words to be matched at the corresponding positions in the actual dictation content when the matching of the standard raw words and the raw words to be matched at the corresponding positions fails;
and the first determining unit is used for determining that the writing of the standard word is correct for the user when the standard word is successfully matched with any one of the other words to be matched.
As an alternative implementation, in the second aspect of the embodiment of the present invention, the learning apparatus further includes:
the pushing unit is used for pushing a plurality of dictation contents to be selected according to a preset dictation task arrangement;
the detection unit is used for detecting whether a user selects target dictation contents to be selected from the plurality of dictation contents to be selected;
the reading and reporting unit is used for reading and reporting the target content to be selected as standard dictation content after the detection unit detects that the target content to be selected is selected from the plurality of the content to be selected by the user, so that the user can complete the dictation task of the standard dictation content;
the acquisition unit is used for acquiring the actual dictation content of the user;
the matching unit is specifically configured to, after the obtaining unit obtains the actual dictation content of the user, perform matching operation on standard raw words included in the standard dictation content and raw words to be matched at corresponding positions in the actual dictation content according to the reporting and reading sequence.
As an alternative implementation, in the second aspect of the embodiment of the present invention, the learning apparatus further includes:
the second determining unit is used for determining the difficulty level corresponding to the target dictation content to be selected after the detecting unit detects the target dictation content to be selected from the plurality of dictation contents to be selected by the user;
the acquisition unit is also used for acquiring the examination scores of the user in a preset time period;
the judging unit is used for judging whether the difficulty level corresponding to the target dictation content to be selected is matched with the test score or not;
the reading-reporting unit is specifically configured to, after the detecting unit detects that the target dictation content to be selected is selected by the user from the plurality of dictation contents to be selected, and when a determination result of the determining unit is yes, report the target dictation content to be selected as standard dictation content, so that the user completes a dictation task for the standard dictation content.
As an optional implementation manner, in a second aspect of the embodiment of the present invention, the second determining unit includes:
the evaluation subunit is configured to, after the detection unit detects that the target dictation content to be selected is selected by the user from the plurality of dictation contents to be selected, evaluate the target dictation content to be selected by using the pronunciation as a first evaluation index to obtain a first evaluation score, and evaluate the target dictation content to be selected by using the font as a second evaluation index to obtain a second evaluation score;
and the determining subunit is used for determining the difficulty level corresponding to the target dictation content to be selected according to the first evaluation score and the second evaluation score.
As an alternative implementation, in the second aspect of the embodiment of the present invention,
the first determining unit is further configured to determine that the user wrongly writes the standard raw words when the standard raw words and all the other raw words to be matched fail to be matched;
the analysis unit is used for analyzing the pronunciation and the font of the standard raw words;
the obtaining unit is further configured to obtain a first practise raw word with a similarity to the pronunciation of the standard raw word higher than a first threshold, and obtain a second practise raw word with a similarity to the glyph of the standard raw word higher than a second threshold;
the pushing unit is also used for pushing practice dictation contents to be subjected to dictation by the user when the dictation requirement of the user is detected; wherein the practice dictation content is composed of the first and second practised raw words.
A third aspect of an embodiment of the present invention discloses a learning apparatus, including:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute any one of the methods disclosed in the first aspect of the embodiments of the present invention.
A fourth aspect of the present invention discloses a computer-readable storage medium storing a computer program, wherein the computer program causes a computer to execute any one of the methods disclosed in the first aspect of the embodiments of the present invention.
A fifth aspect of the embodiments of the present invention discloses a computer program product, which, when running on a computer, causes the computer to execute any one of the methods disclosed in the first aspect of the embodiments of the present invention.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
matching standard raw words contained in the standard dictation content with raw words to be matched at corresponding positions in the actual dictation content according to the reading sequence; if the matching of the standard raw word and the raw word to be matched at the corresponding position fails, matching the standard raw word and other raw words to be matched except the raw word to be matched at the corresponding position in the actual dictation content; and if the standard word is successfully matched with any other word to be matched, determining that the user correctly writes the standard word. Therefore, by implementing the embodiment of the invention, special processing can be carried out on the condition that the writing is not carried out according to the dictation and reading sequence, namely the user is judged to write correctly under the condition that the writing is correct but the reading is not carried out according to the reading sequence. Compared with a general machine correction mode, once the dictation content of the user is inconsistent with the standard dictation content in form, the correction mode of the user with the dictation error is judged, and the correction mode is flexible and humanized.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of a dictation modification method disclosed in an embodiment of the present invention;
FIG. 2 is a flow chart illustrating another dictation modification method disclosed in the embodiments of the present invention;
FIG. 3 is a diagram illustrating an example of a process of capturing an image by a learning device according to an embodiment of the present invention;
FIG. 4 is a flowchart illustrating a method for modifying dictation operations according to an embodiment of the present invention;
FIG. 5 is a schematic structural diagram of a learning device according to an embodiment of the present invention;
FIG. 6 is a schematic structural diagram of another learning device disclosed in the embodiment of the present invention;
FIG. 7 is a schematic structural diagram of another learning apparatus disclosed in the embodiment of the present invention;
fig. 8 is a schematic structural diagram of another learning device disclosed in the embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It is to be noted that the terms "comprises" and "comprising" and any variations thereof in the embodiments and drawings of the present invention are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
The embodiment of the invention discloses a dictation operation correcting method and learning equipment, which can flexibly correct dictation operations and enable correcting results of the dictation operations to be more humanized. The following are detailed below.
Example one
Referring to fig. 1, fig. 1 is a flow chart illustrating a method for modifying dictation operations according to an embodiment of the present invention. The method for correcting dictation operations described in fig. 1 is suitable for learning devices such as a family education machine, a learning tablet, and the like, and the embodiment of the present invention is not limited thereto. The operating system of the learning device may include, but is not limited to, an Android operating system, an IOS operating system, a Symbian operating system, a blackberry operating system, a Windows Phone8 operating system, and the like, and the embodiment of the present invention is not limited thereto. As shown in fig. 1, the method for modifying dictation jobs may include the steps of:
101. and the learning equipment performs matching operation on the standard raw words contained in the standard dictation content and the raw words to be matched at the corresponding positions in the actual dictation content according to the reporting and reading sequence.
In the embodiment of the present invention, the reading sequence refers to a sequence of standard words contained in standard dictation contents played by the learning device. For example, the learning device sequentially reads and submits the standard new words and phrases contained in the standard dictation content as "a → B → C", and the new words and phrases to be matched contained in the actual dictation content as "a → B → C" according to the writing sequence of the user. It can be known that the standard raw word and word a contained in the standard dictation content is a at the corresponding position in the actual dictation content to be matched; the standard raw word B contained in the standard dictation content is B in the raw word to be matched at the corresponding position in the actual dictation content.
In the embodiment of the invention, the learning equipment carries out matching operation on the standard raw words contained in the standard dictation content and the raw words to be matched at the corresponding position in the actual dictation content according to the reading and reporting sequence to obtain the matching result. The matching result may include the following two cases: in one case, the matching between the standard raw word and the raw word to be matched at the corresponding position fails; in another case, the standard new word is successfully matched with the new word to be matched at the corresponding position. For example, if the standard new word is "tired" and it is located at the first position of the reading sequence in the standard dictation content, then the standard new word is matched with the new word to be matched at the corresponding position in the actual dictation content, that is, the "tired" is matched with the new word to be matched at the first position of the writing sequence of the user in the actual dictation content. Further, if the new word to be matched at the first position is "tired", the standard new word is successfully matched with the new word to be matched at the corresponding position, and the user can be determined to correctly write the standard new word of "tired"; if the new word to be matched at the first position is "thunder", the matching between the standard new word and the new word to be matched at the corresponding position fails, and the step 102 may be triggered.
102. And if the matching of the standard raw word and the raw word to be matched at the corresponding position fails, the learning equipment performs matching operation on the standard raw word and other raw words to be matched except the raw word to be matched at the corresponding position in the actual dictation content.
In the embodiment of the present invention, optionally, the learning device may perform matching operation on the standard raw word and other raw words except the raw word to be matched at the corresponding position in the actual dictation content according to the writing sequence of the user. For example, the standard new words included in the standard dictation content may be "delayed", "urban" and "wolf" in sequence from beginning to end according to the reading sequence, and the actual dictation content is "urban", "wolf" and "delayed" in sequence from beginning to end according to the writing sequence of the user, wherein when the "delayed" word at the first position in the standard dictation content is matched, it can be known that the first position in the actual dictation content is "urban", and therefore the standard new words and the new words to be matched at the corresponding position fail to be matched; furthermore, the word of 'delay' at the first position in the standard dictation content is matched with the word of 'wolf' at the second position in the actual dictation content, so that the matching of the two is easy to know and fails; furthermore, the matching operation is carried out with the 'delay' of the third position in the actual dictation content, so that the standard word can be known to be successfully matched with the other words to be matched; still further, execution of step 103 may be triggered. For another example, the standard new words included in the standard dictation content may be "delay", "city" and "wolf" from beginning to end in the reading sequence, while the actual dictation content is "city", "wolf" and "late" from beginning to end in the writing sequence of the user, when the "delay" at the first position in the standard dictation content is matched, it is easy to know that the standard new word "delay" matches the new word to be matched ("wolf" and "late") at the corresponding position in the actual dictation content, and the learning device may determine that the user wrongly writes the standard new words.
103. And if the standard new word is successfully matched with any other new word to be matched, the learning equipment determines that the user correctly writes the standard new word.
In the embodiment of the present invention, optionally, after determining that the user correctly writes the standard new word, the learning device may further output a prompt message, where the prompt message is used to prompt that the writing order is inconsistent with the dictation reading order, and prompt the user to perform dictation next time according to the dictation reading order. Therefore, the embodiment of the invention can prompt the user to pay attention to the writing standard in a prompt message mode, so that the user can know the writing problem in time instead of directly judging the writing error of the user in a traditional machine correction mode, and the use experience of the user is improved.
It can be seen that in the method described in fig. 1, special processing can be performed for the case where the user does not write in the order of dictation, reading, and reporting, that is, the user is judged to write correctly if the user does not write in the order of reading, but the content is written correctly. Compared with a general machine correction mode, once the dictation content of the user is inconsistent with the standard dictation content in form, the correction mode of the user with the dictation error is judged, and the correction mode of the scheme is flexible and humanized; in addition, the user can be prompted to pay attention to the writing specification in a prompt message mode, so that the user can know the writing problem in time, and the use experience of the user is improved.
Example two
Referring to fig. 2, fig. 2 is a flow chart illustrating another dictation modification method according to an embodiment of the present invention. As shown in fig. 2, the method for modifying dictation job includes the following steps:
201. the learning equipment pushes a plurality of dictation contents to be selected according to a preset dictation task arrangement.
In the embodiment of the invention, the learning device can push a plurality of dictation contents to be selected to the user in a preset push mode according to the preset dictation task arrangement. The preset dictation task schedule can be transmitted by the electronic equipment at the presociated household end or the electronic equipment at the presociated teacher end. And, the preset dictation task schedule may include the time point of dictation, the duration of dictation, the subject of dictation, and so on. In addition, the preset pushing mode may be a voice playing mode or a screen output mode, and the embodiment of the present invention is not limited.
Further optionally, before the learning device pushes a plurality of dictation contents to be selected according to a preset dictation task, the current network connection state of the learning device may also be detected; the network connection state may include, among other things, no network connection, a mobile network connection, or a Wi-Fi network connection. If the current network connection state of the learning equipment is no network connection or mobile network connection, the learning equipment can determine dictation content search conditions according to a preset dictation task arrangement, and a plurality of dictation contents to be selected are obtained from a database of the learning equipment according to the dictation content search conditions; if the current network connection state of the learning equipment is Wi-Fi network connection, the learning equipment can determine dictation content search conditions according to preset dictation task arrangement, and a plurality of dictation contents to be selected are acquired through a network according to the dictation content search conditions. Therefore, the embodiment of the invention can select different modes to acquire the dictation content according to different network connection states, and provides diversified selection of content acquisition modes while avoiding generating huge flow cost.
202. The learning equipment detects whether a user selects target dictation contents to be selected from a plurality of dictation contents to be selected, and if so, the step 203 is triggered and executed; if not, the flow is ended.
As an alternative implementation manner, the learning device may push the several dictation contents to be selected to the user in a form of playing names of the several dictation contents to be selected by voice. Then, the learning device detecting whether the user selects the target dictation content to be selected from the several dictation contents to be selected may include:
the learning device can detect whether a reply voice sent by the user is received within a first time interval; if detecting that the reply voice sent by the user is received, carrying out voice recognition on the reply voice to obtain a voice recognition result; wherein, the voice recognition result can comprise a plurality of recognition keywords; judging whether a target recognition keyword matched with any one of the names of the plurality of dictation contents to be selected exists in the plurality of recognition keywords; and if the target identification keyword exists, determining the dictation content to be selected corresponding to the name of the dictation content to be selected matched with the target identification keyword as the target dictation content to be selected.
As another optional implementation manner, if it is detected that the user does not select the target dictation content to be selected from the several dictation contents to be selected, the learning device may randomly select any one of the several dictation contents to be selected as the target dictation content to be selected.
As another alternative implementation, if it is detected that the user selects the target dictation content to be selected from the several dictation contents to be selected, the method may further include the following steps:
the learning equipment determines the difficulty level corresponding to the target dictation content to be selected; acquiring the examination score of a user in a preset time period; judging whether the difficulty level corresponding to the target dictation content to be selected is matched with the examination score or not; if there is a match, step 203 is triggered.
In the embodiment of the invention, when the difficulty of dictating the content is more consistent with the achievement level of the user at the current stage, the user can obtain better dictation effect. If the difficulty level of the target dictation content to be selected is high and the examination score of the user in a preset time period is poor, the user is easy to have difficulty in dictation due to the fact that the target dictation content to be selected is reported to the user, therefore, the user is afraid of difficult emotion to dictation, and the dictation effect of the user is poor; if the difficulty level of the target dictation content to be selected is low and the examination result of the user in the preset time period is good, the target dictation content to be selected cannot meet the actual requirement of the user, so that the user cannot obtain more learning progress through dictation. Therefore, in the embodiment of the invention, the dictation materials reported and read for the user can be ensured to be in accordance with the actual learning condition of the user through the matching operation of the difficulty level of the target dictation content to be selected and the examination score of the user, and the dictation effect of the user can be further improved.
The determining, by the learning device, the difficulty level corresponding to the target dictation content to be selected may include:
evaluating target dictation content to be selected by taking the pronunciation as a first evaluation index to obtain a first evaluation score;
evaluating the target dictation content to be selected by taking the font as a second evaluation index to obtain a second evaluation score;
and determining the difficulty level corresponding to the target dictation content to be selected according to the first evaluation value and the second evaluation value.
203. The learning equipment takes the target content to be selected as standard dictation content to be read and reported so as to enable a user to complete the dictation task of the standard dictation content.
204. The learning device acquires actual dictation content of the user.
In the embodiment of the invention, the learning equipment can detect the writing progress of the user to obtain a progress detection result; when the progress detection result indicates that the user stops writing, the learning device can detect whether the user sends a voice instruction, and if the fact that the user sends the voice instruction is detected, whether the voice instruction contains a preset awakening word is identified; the execution word is used for triggering the learning equipment to execute the operation of acquiring the actual dictation content of the user; if the voice command is recognized to contain the preset execution words, the learning device can acquire the actual dictation content of the user in an image shooting mode. Specifically, the learning device can control the shooting module to shoot the mirror image in the reflecting device to obtain a plurality of shot images; and performing image recognition on the plurality of shot images to acquire the actual dictation content of the user. The reflecting device can be arranged on the learning equipment, and the mirror surface of the reflecting device and the lens surface of the shooting module form a preset angle. Therefore, the embodiment of the invention can simplify the shooting process and improve the shooting efficiency by shooting the image in the reflecting device through the shooting module without manually changing the placement mode of the learning equipment.
Referring to fig. 3, fig. 3 is a diagram illustrating an example of a process of capturing an image by a learning apparatus. As shown in fig. 3, the learning device may control the shooting module to shoot the mirror image in the reflective device, and the mode of obtaining a plurality of shot images may specifically be: the learning device 10 in the figure can be provided with a shooting module 20, and the shooting module 20 is used for shooting to obtain images; a light reflecting device 30 (e.g., a mirror, a prism, a convex lens, or the like) may be further disposed right in front of the camera module 20, and the light reflecting device 30 is configured to change the light path of the camera module, so that the camera module 20 can shoot the carrier map 40. The shooting module 20 of the learning device 10 shoots the image of the carrier map 40 in the reflecting device 30 without manually changing the placement mode of the learning device 10, so that the shooting process can be simplified, and the shooting efficiency can be improved. The carrier map 40 may be specifically a4 paper, a workbook, and the like in this embodiment, which is not limited in the embodiment of the present invention.
The method for modifying dictation operations further includes steps 205-207, and for the description of steps 205-207, please refer to the detailed description of steps 101-103 in the first embodiment, which is not repeated herein.
As can be seen, in the method shown in fig. 2, special processing can be performed for the case where the user does not write in the order of dictation, reading, and writing, that is, the user can be determined to write correctly when the user does not write in the order of reading, but the content is written correctly. Compared with a general machine correction mode, once the dictation content of the user is inconsistent with the standard dictation content in form, the correction mode of the user with the dictation error is judged, and the correction mode of the scheme is flexible and humanized; the user can be prompted to pay attention to the writing standard in a prompt information mode, so that the user can know the writing problem in time, and the use experience of the user is improved; different modes can be selected to obtain dictation content according to different network connection states, and diversified selection of content obtaining modes can be provided while huge flow cost is avoided; the dictation materials reported and read for the user can be ensured to be in accordance with the actual learning condition of the user, and the dictation effect of the user can be further improved; in addition, can shoot the formation of image in the reflex reflector through shooting the module, and need not change learning equipment's the mode of placing manually, can simplify the shooting process, improve and shoot efficiency.
EXAMPLE III
Referring to fig. 4, fig. 4 is a flowchart illustrating a method for modifying dictation operations according to another embodiment of the present invention. As shown in fig. 4, the method for modifying dictation job includes the following steps:
in the embodiment of the present invention, the method for modifying dictation operations includes steps 301 to 306, and for the description of the steps 301 to 306, please refer to the detailed description of the steps 201 to 206 in the second embodiment.
307. The learning equipment judges whether the standard new word is successfully matched with any one of other new words to be matched, and if the standard new word is successfully matched with any one of other new words to be matched, the step 308 is triggered and executed; and if the standard raw word fails to be matched with all other raw words to be matched, triggering and executing steps 309-312.
308. The learning device determines that the user is writing correctly for the standard raw word.
309. The learning device determines that the user wrote to the standard new word.
310. The learning equipment analyzes the pronunciation and the font of the standard raw words.
311. The learning apparatus acquires a first practised raw word whose degree of similarity to the pronunciation of the standard raw word is higher than a first threshold, and acquires a second practised raw word whose degree of similarity to the glyph of the standard raw word is higher than a second threshold.
In the embodiment of the present invention, the learning device may analyze the standard raw words from two dimensions, namely, the pronunciation and the font, and each dimension may perform similarity comparison with the raw words included in the corpus, thereby obtaining a first practising raw word in the corpus, of which the similarity with the pronunciation of the standard raw word is higher than a first threshold, and obtaining a second practising raw word in the corpus, of which the similarity with the font of the standard raw word is higher than a second threshold. The number of the first practised raw words and the second practised raw words may be one or more, and the embodiment of the invention is not limited.
In this embodiment of the present invention, the learning device may detect whether the user has a dictation requirement, and if it is detected that the user has a dictation requirement, trigger execution of step 312.
As an alternative embodiment, the learning device detecting whether the user has a dictation requirement may include:
the learning equipment acquires post-class task information arranged by any class teacher corresponding to the user; performing word segmentation processing on the post-class task information, and judging whether a word segmentation processing result of the post-class task information contains any dictation awakening keyword in a dictation awakening set; and if the word segmentation processing result contains any dictation awakening keyword in the dictation awakening set, determining that the user has dictation requirements.
In the embodiment of the invention, the learning equipment identifies the task information after class, determines whether any teacher arranges a dictation task, and further determines whether the user has dictation requirements. Therefore, the embodiment of the invention can determine the dictation requirements of the user in a mode of identifying the task information after class, and realizes the intelligent identification of the user requirements.
As another alternative, the learning device detecting whether the user has a dictation requirement may include:
the learning equipment detects the number of friends who finish a preset dictation task in an online learning group where a user is located; judging whether the number of the friends is larger than a preset number threshold value or not; if the number of the users is larger than the preset number threshold, determining that the dictation requirements of the users exist; the preset dictation tasks that each person in the online learning group needs to complete may be the same or different, and the embodiment of the present invention is not limited.
Therefore, the embodiment of the invention can determine the potential dictation requirements of the user based on the number proportion of the people who finish the preset dictation task by the on-line learning group, so that the user does not need to manually express the dictation requirements, thereby not only improving the recognition efficiency of the dictation requirements, but also embodying the intelligence of dictation requirement recognition.
312. When the learning equipment detects that the user has a dictation demand, pushing practice dictation contents for the user to perform dictation; wherein the practice dictation content consists of a first practice raw word and a second practice raw word.
As an optional implementation manner, after detecting that the user has a dictation requirement, and before pushing the dictation practice content for the user to perform dictation, the learning device may further include the following steps:
the learning equipment detects the current family operation completion progress of a user; if the current family job completion progress is larger than a preset job progress threshold, acquiring a to-do list of the user; judging whether any backlog with the processing priority higher than the dictation exists in the backlog list; if not, pushing practice dictation contents for the user to perform dictation; wherein the practice dictation content consists of a first practice raw word and a second practice raw word.
Therefore, the embodiment of the invention can evaluate whether the practice dictation content needs to be pushed to the user or not through the family job completion progress and the priority of the backlog after determining that the user has the dictation requirement, so that the pushing of the practice dictation content is more in line with the actual situation of the user, and the pushing quality of the practice dictation content is improved.
It can be seen that in the method described in fig. 4, special processing can be performed for the case where the user does not write according to the dictation, reading and reporting sequence, that is, the user is judged to write correctly if the user does not write according to the reading and reporting sequence, but the content is written correctly; compared with a general machine correction mode, once the dictation content of the user is inconsistent with the standard dictation content in form, the correction mode of the user with the dictation error is judged, and the correction mode of the scheme is flexible and humanized; the user can be prompted to pay attention to the writing standard in a prompt information mode, so that the user can know the writing problem in time, and the use experience of the user is improved; the method can avoid generating huge flow cost and provide diversified selections of content acquisition modes; the dictation materials reported and read for the user can be ensured to be in accordance with the actual learning condition of the user, and the dictation effect of the user can be further improved; the shooting process can be simplified, and the shooting efficiency is improved; the dictation requirements of the user can be determined in a mode of identifying the task information after class, so that the intelligent identification of the user requirements is realized; in addition, the potential dictation requirements of the user can be determined based on the number proportion of people who finish the preset dictation task by the online learning group, so that the user does not need to manually express the dictation requirements, the recognition efficiency of the dictation requirements is improved, the intelligence of dictation requirement recognition is embodied, and the recognition efficiency of the dictation requirements is improved.
Example four
Referring to fig. 5, fig. 5 is a schematic structural diagram of a learning device according to an embodiment of the present invention. As shown in fig. 5, the learning apparatus may include:
the matching unit 401 is configured to perform a matching operation on a standard raw word included in the standard dictation content and a raw word to be matched at a corresponding position in the actual dictation content according to the reporting and reading sequence, perform a matching operation on the standard raw word and other raw words to be matched in the actual dictation content except the raw word to be matched at the corresponding position when the matching between the standard raw word and the raw word to be matched at the corresponding position fails, and provide a matching result to the first determining unit 402.
A first determining unit 402, configured to determine that the user wrote the standard new word correctly when the standard new word is successfully matched with any one of the other new words to be matched.
As an alternative embodiment, after determining that the user writes correctly for the standard new word, the first determining unit 402 may further output prompt information for prompting that the writing order is inconsistent with the dictation reading order and prompting the user to perform dictation in the dictation reading order next time. Therefore, the embodiment of the invention can prompt the user to pay attention to the writing standard in a prompt message mode, so that the user can know the writing problem in time instead of directly judging the writing error of the user in a traditional machine correction mode, and the use experience of the user is improved.
It can be seen that the learning device shown in fig. 5 can perform special processing for the case where the user does not write in the order of dictation, reading, and writing, that is, the user can determine that the user writes correctly when the user does not write in the order of reading, but the content is written correctly. Compared with a general machine correction mode, once the dictation content of the user is inconsistent with the standard dictation content in form, the correction mode of the user with the dictation error is judged, and the correction mode of the scheme is flexible and humanized; in addition, the user can be prompted to pay attention to the writing specification in a prompt message mode, so that the user can know the writing problem in time, and the use experience of the user is improved.
EXAMPLE five
Referring to fig. 6, fig. 6 is a schematic structural diagram of another learning apparatus according to an embodiment of the present invention. The learning apparatus shown in fig. 6 is optimized by the learning apparatus shown in fig. 5. As shown in fig. 6, the learning apparatus may further include:
the pushing unit 403 is configured to push a plurality of dictation contents to be selected according to a preset dictation task schedule, and trigger the detecting unit 404 to start.
In this embodiment of the present invention, the pushing unit 403 may push a plurality of dictation contents to be selected to the user in a preset pushing manner according to a preset dictation task arrangement. The preset dictation task schedule can be transmitted by the electronic equipment at the presociated household end or the electronic equipment at the presociated teacher end. And, the preset dictation task schedule may include the time point of dictation, the duration of dictation, the subject of dictation, and so on. In addition, the preset pushing mode may be a voice playing mode or a screen output mode, and the embodiment of the present invention is not limited.
Further optionally, before the pushing unit 403 pushes a plurality of dictation contents to be selected according to a preset dictation task, the current network connection state of the learning device may also be detected; the network connection state may include, among other things, no network connection, a mobile network connection, or a Wi-Fi network connection. If the current network connection state of the learning device is no network connection or mobile network connection, the pushing unit 403 may determine a dictation content search condition according to a preset dictation task arrangement, and obtain a plurality of dictation contents to be selected from a database of the learning device according to the dictation content search condition; if the current network connection state of the learning device is Wi-Fi network connection, the pushing unit 403 may determine a dictation content search condition according to a preset dictation task arrangement, and obtain a plurality of dictation contents to be selected through a network according to the dictation content search condition. Therefore, the embodiment of the invention can select different modes to acquire the dictation content according to different network connection states, and provides diversified selection of content acquisition modes while avoiding generating huge flow cost.
A detecting unit 404, configured to detect whether a user selects a target dictation content to be selected from a plurality of dictation contents to be selected, and provide a detection result to the reading unit 405.
The reading reporting unit 405 is configured to, after the detecting unit 404 detects that the target dictation content to be selected is selected by the user from the several dictation contents to be selected, read the target dictation content to be selected as the standard dictation content, so that the user completes a dictation task for the standard dictation content, and trigger the acquiring unit 406 to start.
An obtaining unit 406, configured to obtain the actual dictation content of the user and provide the actual dictation content to the matching unit 401.
The matching unit 401 is specifically configured to, after the obtaining unit 406 obtains the actual dictation content of the user, perform a matching operation on the standard raw words included in the standard dictation content and the raw words to be matched at the corresponding positions in the actual dictation content according to the reporting and reading sequence.
It can be seen that the learning device shown in fig. 6 can perform special processing for the case where the user does not write in the order of dictation, reading, and writing, that is, the user can determine that the user writes correctly when the user does not write in the order of reading, but the content is written correctly. Compared with a general machine correction mode, once the dictation content of the user is inconsistent with the standard dictation content in form, the correction mode of the user with the dictation error is judged, and the correction mode of the scheme is flexible and humanized; the user can be prompted to pay attention to the writing standard in a prompt information mode, so that the user can know the writing problem in time, and the use experience of the user is improved; different modes can be selected to obtain dictation content according to different network connection states, and diversified selection of content obtaining modes can be provided while huge flow cost is avoided; the dictation materials reported and read for the user can be ensured to be in accordance with the actual learning condition of the user, and the dictation effect of the user can be further improved; in addition, can shoot the formation of image in the reflex reflector through shooting the module, and need not change learning equipment's the mode of placing manually, can simplify the shooting process, improve and shoot efficiency.
EXAMPLE six
Referring to fig. 7, fig. 7 is a schematic structural diagram of another learning apparatus according to an embodiment of the present invention. The learning apparatus shown in fig. 7 is optimized by the learning apparatus shown in fig. 6. As shown in fig. 7, the learning apparatus may further include:
the second determining unit 407 is configured to determine a difficulty level corresponding to a target dictation content to be selected after the detecting unit 404 detects the target dictation content to be selected, which is selected by the user from the several dictation contents to be selected, and provide the difficulty level to the determining unit 408.
The acquiring unit 406 is further configured to acquire the examination result of the user in a preset time period, and provide the examination result to the determining unit 408.
The judging unit 408 is configured to judge whether the difficulty level corresponding to the target dictation content to be selected matches the examination score, and provide the judgment result to the reading unit 405.
The reading unit 405 is specifically configured to, after the detecting unit 404 detects that the target dictation content to be selected is selected from a plurality of dictation contents to be selected by the user, and when the determination result of the determining unit 408 is yes, read the target dictation content to be selected as the standard dictation content, so that the user completes the dictation task of the standard dictation content.
As an alternative implementation, as shown in fig. 7, the second determining unit 407 may include:
the evaluation subunit 4071 is configured to, after the detection unit 404 detects that the target dictation content to be selected is selected by the user from the several dictation contents to be selected, evaluate the target dictation content to be selected by using the reading as a first evaluation index to obtain a first evaluation score, evaluate the target dictation content to be selected by using the font as a second evaluation index to obtain a second evaluation score, and provide the first evaluation score and the second evaluation score to the determination subunit 4072.
The determining subunit 4072 is configured to determine, according to the first evaluation score and the second evaluation score, a difficulty level corresponding to the target dictation content to be selected.
As another alternative, as shown in fig. 7, the first determining unit 402 is further configured to determine that the user wrote the standard raw word when the standard raw word fails to match all other raw words to be matched, and provide the determination result to the analyzing unit 409.
The analyzing unit 409 analyzes the pronunciation and the font of the standard raw word, and supplies the analysis result to the obtaining unit 406.
The above-mentioned obtaining unit 406 is further configured to obtain a first practised raw word having a similarity to the pronunciation of the standard raw word higher than a first threshold value, and obtain a second practised raw word having a similarity to the glyph of the standard raw word higher than a second threshold value, and supply the first practised raw word and the second practised raw word to the push unit 403.
The pushing unit 403 is further configured to, when it is detected that the user has a dictation demand, push exercise dictation content for the user to perform dictation; wherein the practice dictation content consists of a first practice raw word and a second practice raw word.
It can be seen that, the learning device shown in fig. 7 can perform special processing for the case where the user does not write according to the dictation, reading and reporting sequence, that is, the user can determine that the user writes correctly when the user does not write according to the reading and reporting sequence but the content writes correctly; compared with a general machine correction mode, once the dictation content of the user is inconsistent with the standard dictation content in form, the correction mode of the user with the dictation error is judged, and the correction mode of the scheme is flexible and humanized; the user can be prompted to pay attention to the writing standard in a prompt information mode, so that the user can know the writing problem in time, and the use experience of the user is improved; the method can avoid generating huge flow cost and provide diversified selections of content acquisition modes; the dictation materials reported and read for the user can be ensured to be in accordance with the actual learning condition of the user, and the dictation effect of the user can be further improved; the shooting process can be simplified, and the shooting efficiency is improved; the dictation requirements of the user can be determined in a mode of identifying the task information after class, so that the intelligent identification of the user requirements is realized; in addition, the potential dictation requirements of the user can be determined based on the number proportion of people who finish the preset dictation task by the online learning group, so that the user does not need to manually express the dictation requirements, the recognition efficiency of the dictation requirements is improved, the intelligence of dictation requirement recognition is embodied, and the recognition efficiency of the dictation requirements is improved.
EXAMPLE seven
Referring to fig. 8, fig. 8 is a schematic structural diagram of another learning apparatus according to an embodiment of the present invention. As shown in fig. 8, the learning apparatus may include:
a memory 901 in which executable program code is stored;
a processor 902 coupled to a memory 901;
the processor 902 calls the executable program code stored in the memory 901 to execute any one of the dictation job modification methods shown in fig. 1 to 3.
It should be noted that the learning device shown in fig. 8 may further include components, which are not shown, such as a power supply, an input key, a speaker, a microphone, a screen, an RF circuit, a Wi-Fi module, a bluetooth module, and a sensor, which are not described in detail in this embodiment.
The embodiment of the invention discloses a computer-readable storage medium which stores a computer program, wherein the computer program enables a computer to execute any one of the dictation operation correction methods shown in figures 1-3.
An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to make a computer execute any one of the modification methods for dictation operations shown in fig. 1 to 3.
It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. Those skilled in the art should also appreciate that the embodiments described in this specification are exemplary and alternative embodiments, and that the acts and modules illustrated are not required in order to practice the invention.
In various embodiments of the present invention, it should be understood that the sequence numbers of the above-mentioned processes do not imply an inevitable order of execution, and the execution order of the processes should be determined by their functions and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated units, if implemented as software functional units and sold or used as a stand-alone product, may be stored in a computer accessible memory. Based on such understanding, the technical solution of the present invention, which is a part of or contributes to the prior art in essence, or all or part of the technical solution, can be embodied in the form of a software product, which is stored in a memory and includes several requests for causing a computer device (which may be a personal computer, a server, a network device, or the like, and may specifically be a processor in the computer device) to execute part or all of the steps of the above-described method of each embodiment of the present invention.
It will be understood by those skilled in the art that all or part of the steps in the methods of the embodiments described above may be implemented by instructions associated with a program, which may be stored in a computer-readable storage medium, where the storage medium includes Read-Only Memory (ROM), Random Access Memory (RAM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), One-time Programmable Read-Only Memory (OTPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), compact disc-Read-Only Memory (CD-ROM), or other Memory, magnetic disk, magnetic tape, or magnetic tape, Or any other medium which can be used to carry or store data and which can be read by a computer.
The method for correcting dictation operations and the learning device disclosed in the embodiments of the present invention are described in detail above, and the principle and the implementation of the present invention are explained in the present document by applying specific examples, and the above description of the embodiments is only used to help understanding the method and the core idea of the present invention. Meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A dictation job correction method is characterized by comprising the following steps:
matching standard raw words contained in the standard dictation content with raw words to be matched at corresponding positions in the actual dictation content according to the reading sequence;
if the matching of the standard raw word and the raw word to be matched at the corresponding position fails, matching the standard raw word and other raw words to be matched except the raw word to be matched at the corresponding position in the actual dictation content;
and if the standard word is successfully matched with any one of the other word to be matched, determining that the user correctly writes the standard word.
2. The method of claim 1, further comprising:
pushing a plurality of dictation contents to be selected according to a preset dictation task arrangement, and after a user selects target dictation contents to be selected from the plurality of dictation contents to be selected, reading the target dictation contents to be selected as standard dictation contents so that the user completes the dictation task of the standard dictation contents;
and acquiring the actual dictation content of the user, and executing the step of matching the standard raw words contained in the standard dictation content with the raw words to be matched at the corresponding positions in the actual dictation content according to the reading and reporting sequence.
3. The method according to claim 2, wherein after the user selects the target dictation content to be selected from a number of dictation contents to be selected, the method further comprises:
determining a difficulty level corresponding to the target dictation content to be selected;
acquiring the examination score of a user in a preset time period;
judging whether the difficulty level corresponding to the target dictation content to be selected is matched with the examination score or not;
and if the target content to be selected is matched with the standard dictation content, the step of reading the target content to be selected as the standard dictation content is executed so that a user can finish the dictation task of the standard dictation content.
4. The method of claim 3, wherein the determining the difficulty level corresponding to the target dictation content to be selected comprises:
evaluating the target dictation content to be selected by taking pronunciation as a first evaluation index to obtain a first evaluation score;
evaluating the target dictation content to be selected by taking the font as a second evaluation index to obtain a second evaluation score;
and determining the difficulty level corresponding to the target dictation content to be selected according to the first evaluation score and the second evaluation score.
5. The method of claim 1, further comprising:
if the standard raw word fails to be matched with all the other raw words to be matched, determining that the user wrongly writes the standard raw word;
analyzing the pronunciation and the font of the standard raw words;
acquiring a first practised raw word with the similarity of the pronunciation of the standard raw word higher than a first threshold value and acquiring a second practised raw word with the similarity of the font of the standard raw word higher than a second threshold value;
when detecting that the user has a dictation demand, pushing practice dictation contents for the user to perform dictation; wherein the practice dictation content is composed of the first and second practised raw words.
6. A learning device, comprising:
the matching unit is used for matching standard raw words contained in standard dictation content with raw words to be matched at corresponding positions in actual dictation content according to a reading sequence, and matching the standard raw words with other raw words to be matched except the raw words to be matched at the corresponding positions in the actual dictation content when the matching of the standard raw words and the raw words to be matched at the corresponding positions fails;
and the first determining unit is used for determining that the writing of the standard word is correct for the user when the standard word is successfully matched with any one of the other words to be matched.
7. The learning apparatus according to claim 6, characterized in that the learning apparatus further comprises:
the pushing unit is used for pushing a plurality of dictation contents to be selected according to a preset dictation task arrangement;
the detection unit is used for detecting whether a user selects target dictation contents to be selected from the plurality of dictation contents to be selected;
the reading and reporting unit is used for reading and reporting the target content to be selected as standard dictation content after the detection unit detects that the target content to be selected is selected from the plurality of the content to be selected by the user, so that the user can complete the dictation task of the standard dictation content;
the acquisition unit is used for acquiring the actual dictation content of the user;
the matching unit is specifically configured to, after the obtaining unit obtains the actual dictation content of the user, perform matching operation on standard raw words included in the standard dictation content and raw words to be matched at corresponding positions in the actual dictation content according to the reporting and reading sequence.
8. The learning apparatus according to claim 7, characterized in that the learning apparatus further comprises:
the second determining unit is used for determining the difficulty level corresponding to the target dictation content to be selected after the detecting unit detects the target dictation content to be selected from the plurality of dictation contents to be selected by the user;
the acquisition unit is also used for acquiring the examination scores of the user in a preset time period;
the judging unit is used for judging whether the difficulty level corresponding to the target dictation content to be selected is matched with the test score or not;
the reading-reporting unit is specifically configured to, after the detecting unit detects that the target dictation content to be selected is selected by the user from the plurality of dictation contents to be selected, and when a determination result of the determining unit is yes, report the target dictation content to be selected as standard dictation content, so that the user completes a dictation task for the standard dictation content.
9. The learning apparatus according to claim 8, wherein the second determination unit includes:
the evaluation subunit is configured to, after the detection unit detects that the target dictation content to be selected is selected by the user from the plurality of dictation contents to be selected, evaluate the target dictation content to be selected by using the pronunciation as a first evaluation index to obtain a first evaluation score, and evaluate the target dictation content to be selected by using the font as a second evaluation index to obtain a second evaluation score;
and the determining subunit is used for determining the difficulty level corresponding to the target dictation content to be selected according to the first evaluation score and the second evaluation score.
10. The learning apparatus according to claim 7,
the first determining unit is further configured to determine that the user wrongly writes the standard raw words when the standard raw words and all the other raw words to be matched fail to be matched;
the analysis unit is used for analyzing the pronunciation and the font of the standard raw words;
the obtaining unit is further configured to obtain a first practise raw word with a similarity to the pronunciation of the standard raw word higher than a first threshold, and obtain a second practise raw word with a similarity to the glyph of the standard raw word higher than a second threshold;
the pushing unit is also used for pushing practice dictation contents to be subjected to dictation by the user when the dictation requirement of the user is detected; wherein the practice dictation content is composed of the first and second practised raw words.
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