WO2020082766A1

WO2020082766A1 - Association method and apparatus for input method, device and readable storage medium

Info

Publication number: WO2020082766A1
Application number: PCT/CN2019/092464
Authority: WO
Inventors: 王旭; 鲁佳伟
Original assignee: 平安科技（深圳）有限公司
Priority date: 2018-10-25
Filing date: 2019-06-24
Publication date: 2020-04-30
Also published as: CN109634436A; CN109634436B

Abstract

An association method and apparatus for an input method, a device and a readable storage medium. The method comprises: receiving an input instruction of a user, and determining an input method type corresponding to the input instruction (S10); acquiring the number of characters input by the user, and determining whether the number of characters is greater than a preset threshold value (S20); if the number of characters is greater than the preset threshold value, acquiring character content corresponding to the input instruction (S30); and searching for an association word corresponding to the character content in an association library corresponding to the input method type, and sending the association word to an input method interface (S40). In this method, the association is implemented when the number of input characters is greater than a preset threshold value, thereby avoiding meaningless association and reducing the pressure on a processor.

Description

Association method, device, equipment and readable storage medium of input method The

This application requires the priority of the Chinese patent application filed on October 25, 2018 in the Chinese Patent Office with the application number 201811249709.X and the invention titled "Lenovo Method, Device, Equipment and Readable Storage Media for Input Method". The entire contents are incorporated in the application by reference.

Technical field

This application relates to the field of information technology, and in particular, to an association method, device, device, and readable storage medium for an input method.

Background technique

With the continuous development of the mobile Internet, portable electronic devices have been rapidly developed and popularized, Human-computer interaction has also become more and more frequent. Human-computer interaction can be input through physical keyboard, virtual keyboard, handwriting board, sound collection equipment, and then converted by input method to provide candidate screen, among which, the most basic and most One of the frequent ways is to perform human-computer interaction through keyboard input. However, the current Lenovo function is to continuously request from the foreground to the background according to the real-time change of the value in the monitoring input box. However, this Lenovo function will produce a lot of meaningless Lenovo caused great processor pressure.

Summary of the invention

The main purpose of the present application is to provide an associative method, device, device and readable storage medium for an input method, aiming to solve the technical problem that the existing associative function will generate a lot of meaningless associations and cause high processor pressure.

In order to achieve the above object, the present application provides an association method for an input method, and the association method for the input method includes the following steps:

Receiving an input instruction from a user, and determining an input method type corresponding to the input instruction;

Obtain the number of characters entered by the user, and determine whether the number of characters is greater than a preset threshold;

If the number of characters is greater than a preset threshold, obtain the character content corresponding to the input instruction;

Finding the association words corresponding to the character content in the association library corresponding to the input method type, and sending the association words to the input method interface.

Optionally, if the number of characters is greater than a preset threshold, the step of acquiring the character content corresponding to the input instruction includes:

If the number of characters is greater than the preset threshold, it is detected whether the user presses the preset key;

If it is detected that the user presses the preset key, the character content corresponding to the input instruction is obtained.

Optionally, the step of searching for the association word corresponding to the character content in the association library corresponding to the input method type and sending the association word to the input method interface includes:

Obtain the input content that the user has input in the text editor, and perform semantic analysis on the input content to obtain semantic content after semantic analysis;

Performing word segmentation processing and part-of-speech tagging processing on the semantic content to extract keywords in the semantic content and determine whether there is only one of the keywords;

If there is only one keyword, search for the classification label corresponding to the keyword, and determine the semantic environment of the semantic content according to the classification label, and search in the Lenovo library corresponding to the input method type according to the semantic environment Associate words corresponding to the character content, and send the associate words to the input method interface.

Optionally, after the step of performing word segmentation processing and part-of-speech tagging processing on the semantic content to extract keywords in the semantic content and determine whether there is only one keyword, the associative method of the input method Also includes:

If there are multiple keywords, search for the target lexicon corresponding to the keyword in the associative library corresponding to the input method type;

Finding the associated words corresponding to the character content in the target lexicon.

Optionally, the associative library includes multiple lexicons, and the step of searching for the target lexicon corresponding to the keyword in the associative library corresponding to the input method type includes:

Determine each thesaurus corresponding to each of the keywords, and calculate the weight of each thesaurus based on the number of occurrences of the keyword in each thesaurus, where the weights corresponding to the thesaurus with more keywords are greater ;

The lexicon corresponding to the largest weight in the weights is used as the target lexicon.

Optionally, the step of searching for the association word corresponding to the character content in the association library corresponding to the input method type includes:

Obtain the browsing content of the browsing interface within a preset time period of the user, perform semantic analysis on the browsing content, determine the browsing type of the browsing content according to the analysis result, and find the browsing type in the Lenovo library corresponding to the input method The corresponding thesaurus;

Searching for the associative words corresponding to the character content in the thesaurus corresponding to the browsing type.

Optionally, the step of obtaining the number of characters entered by the user and determining whether the number of characters is greater than a preset threshold includes:

Obtain the preset threshold corresponding to the input method type and the number of characters entered by the user;

Comparing the number of characters with the preset threshold to determine whether the number of characters is greater than the preset threshold.

In addition, in order to achieve the above object, the present application also provides an input method associative device. The input method associative device includes:

A receiving module, configured to receive a user's input instruction and determine the input method type corresponding to the input instruction;

The first obtaining module is used to obtain the number of characters input by the user and determine whether the number of characters is greater than a preset threshold;

A second obtaining module, configured to obtain the character content corresponding to the input instruction if the number of characters is greater than a preset threshold;

The association module is configured to search for association words corresponding to the character content in the association library corresponding to the input method type, and send the association words to the input method interface.

In addition, in order to achieve the above object, the present application also provides an input method associative device. The input method associative device includes a processor, a memory, and a computer that is stored on the memory and can be executed by the processor. Read instructions, wherein when the computer-readable instructions are executed by the processor, the steps of the associative method of the input method described above are implemented.

In addition, in order to achieve the above object, the present application also provides a readable storage medium that stores computer readable instructions, where the computer readable instructions are executed by a processor to implement the input as described above The steps of the associative method of law.

This application provides a associative method, device, device and readable storage medium for an input method. This application determines the input method type corresponding to the input instruction by receiving a user's input instruction, and then obtains the number of characters input by the user, and Determine whether the number of characters is greater than a preset threshold, then if the number of characters is greater than the preset threshold, then obtain the character content corresponding to the input instruction, and finally search the character content in the Lenovo library corresponding to the input method type Corresponding associative words, and sending the associative words to the input method interface; associating is performed only when the number of characters of the input characters is greater than a preset threshold, thereby avoiding meaningless associating and reducing the pressure on the processor.

BRIEF DESCRIPTION

FIG. 1 is a schematic diagram of a hardware structure of a Lenovo device for an input method according to embodiments of the application;

FIG. 2 is a schematic flowchart of a first embodiment of the Lenovo device method of the input method of the present application;

3 is a schematic flowchart of a second embodiment of the Lenovo device method of the input method of the present application;

4 is a schematic flowchart of a third embodiment of the Lenovo device method of the input method of the present application;

5 is a schematic flowchart of a fourth embodiment of the Lenovo device method of the input method of the present application;

6 is a schematic flowchart of a fifth embodiment of the Lenovo device method of the input method of the present application;

7 is a schematic flowchart of a sixth embodiment of the Lenovo device method of the input method of the present application;

FIG. 8 is a schematic diagram of functional modules of a first embodiment of a Lenovo device device of the input method of the present application.

The implementation, functional characteristics and advantages of the present application will be further described in conjunction with the embodiments and with reference to the drawings.

detailed description

It should be understood that the specific embodiments described herein are only used to explain the present application, and are not used to limit the present application.

The associative method of the input method involved in the embodiments of the present application is mainly applied to the associative device of the input method, and the associative device of the input method may be a PC (personal computer personal computer), portable computers, mobile terminals and other devices with display and processing functions.

Referring to FIG. 1, FIG. 1 is a schematic diagram of a hardware structure of a Lenovo device for an input method involved in an embodiment of the present application. In the embodiment of the present application, the Lenovo device of the input method may include a processor 1001 (for example, a central processor Central Processing Unit, CPU), communication bus 1002, user interface 1003, network interface 1004, memory 1005. Among them, the communication bus 1002 is used to realize the connection communication between these components; the user interface 1003 may include a display (Display), an input unit such as a keyboard (Keyboard); the network interface 1004 may optionally include a standard wired interface, a wireless interface (Such as WI-FI interface); the memory 1005 can be a high-speed RAM memory or a stable memory (non-volatile memory), such as a magnetic disk memory, and the memory 1005 may optionally be a storage device independent of the foregoing processor 1001. Those skilled in the art may understand that the hardware structure shown in FIG. 1 does not constitute a limitation on the present application, and may include more or less components than those illustrated, or combine certain components, or arrange different components.

With continued reference to FIG. 1, the memory 1005 in FIG. 1 as a readable storage medium may include an operating system, a network communication module, and computer-readable instructions. In FIG. 1, the network communication module is mainly used to connect to a server and perform data communication with the server; and the processor 1001 can call computer-readable instructions stored in the memory 1005 and execute the associative method of the input method provided by the embodiment of the present application.

The embodiments of the present application provide an associative method for an input method.

Referring to FIG. 2, FIG. 2 is a schematic flowchart of a first embodiment of the association method of the input method of the present application.

In this embodiment, the main body of the associative method of the input method is the associative device of the input method, and the associative device of the input method may be a PC (personal computer personal computer), portable computers, mobile terminals and other devices with display and processing functions. The associative method of the input method includes the following steps:

Step S10: Receive a user's input instruction and determine the input method type corresponding to the input instruction;

In this embodiment, in general, the user can set the input method. After the user sets the input method, the user begins to input the content that needs to be input, so first, whether the user's input instruction is received is detected, and if the user's input is received Command, it determines the type of input method currently used by the user,

The input method types include English input, Chinese input, etc., where when the user presses the keyboard, an input command is triggered, the Lenovo device of the input method will listen to the keydown event and receive the input command.

Step S20: Obtain the number of characters entered by the user, and determine whether the number of characters is greater than a preset threshold;

In this embodiment, the preset threshold is set by a technician, when receiving the user's input instruction, the keydown event received in the input box is monitored, the number of characters input by the user is calculated, and the characters input by the user are detected in real time Whether it is greater than the preset threshold.

Further, different character number restriction rules can be set according to different input method types, that is, the preset threshold corresponding to different input method types may be different, so, when receiving a user's input instruction, it is determined that the input instruction corresponds to the input method Input method type, obtain the preset threshold corresponding to the current input method type, and detect whether the number of characters input by the user is greater than the preset threshold value, for example, if the current input method type is Chinese input, the preset threshold value of the character is 4. If it is detected that the current input method type is English input, the preset threshold of characters is 5.

Step S30: If the number of characters is greater than a preset threshold, obtain the character content corresponding to the input instruction;

In this embodiment, if it is detected that the number of characters input by the user is greater than a preset threshold, the character content corresponding to the input instruction is obtained. The character may be a character string or a single character, and the character content includes Pinyin and English. Associate only when the number of characters entered by the user is greater than the preset threshold. When the number of characters entered by the user is less than or equal to the preset threshold, do not associate and detect the next character entered by the user. For example, the Chinese input method can The limit rule for setting the number of characters is 4 characters. The limit rule for setting the character rule in the English input method is 5 characters. If the input method type is Chinese input and the Chinese characters reach four characters, the association starts. If the input method type is The English input method and the English characters reach 5 characters before starting association. For example, when the user pre-enters the word "王", the input method type is monitored as Chinese input, and the character detected in the input box is detected as "wang ", And the number of characters in the character content reaches 4 characters, you can send a model query request to the background according to the content entered by the user for fuzzy query.

Step S40: Search for the association word corresponding to the character content in the association library corresponding to the input method type, and send the association word to the input method interface.

In this embodiment, different input methods correspond to different Lenovo libraries. For example, the Chinese input method corresponds to a Chinese Lenovo library, and the English input method corresponds to an English Lenovo library. When it is detected that the number of characters input by the user is greater than the preset threshold, a fuzzy query request is sent to the background to query the association words that match the character content from the association word library, and the matched association words are sent to the input method interface for the user Selection, specifically, when it is detected that the number of characters input by the user is greater than a preset threshold, semantic analysis can be performed on the input content that the user has entered in the text editor, which includes an input box, notepad, and document editing Interface etc. After performing semantic analysis on the input content that has been input, the semantic content after semantic analysis is obtained, and the semantic environment corresponding to the semantic content is determined according to the semantic content. The input content that the user has entered in the text editor is the user's focus. The characters entered by the user through the input method are closest to the semantic environment corresponding to the semantic content. Therefore, the user's input requirements can be estimated according to the semantic environment of the input method. The semantic environment refers to the context in which the character content entered by the user is located. For example, if the input content entered by the user is introducing a literary article, the semantic environment in which the character content entered by the user is located can be considered as literary related content . According to the semantic environment and the character content, the corresponding association words are searched in the association library, and the association words are sent to the input method interface.

The associative method of the input method proposed in this embodiment determines the type of input method corresponding to the input instruction by receiving the user's input instruction, and then obtains the number of characters input by the user, and determines whether the number of characters is greater than a preset threshold, Then, if the number of characters is greater than the preset threshold, the character content corresponding to the input instruction is obtained, and finally, the association word corresponding to the character content is searched in the association library corresponding to the input method type, and the association word Send to the input method interface; realize the association only when the number of input characters is greater than the preset threshold, thereby avoiding meaningless association and reducing the pressure on the processor.

Based on the first embodiment, a second embodiment of the association method of the input method of the present application is proposed. Referring to FIG. 3, in this embodiment, step S30 includes:

Step S31, if the number of characters is greater than a preset threshold, it is detected whether the user presses the preset key;

In this embodiment, when it is detected that the number of characters entered by the user is greater than the preset threshold, the association word may be searched for in the association library according to the character content entered by the user, but sometimes, when the number of characters is greater than the preset threshold When the word association is not what the user needs, that is, when the preset number of characters cannot be accurately associated, the Lenovo command can be triggered in the form of a preset key. The user can trigger the Lenovo command by pressing the preset key to detect the user Whether to press the preset key.

Step S32, if it is detected that the user presses the preset key, the character content corresponding to the input instruction is obtained.

In this embodiment, the preset key may be a space bar, an enter key, etc. The preset key may be set by the user according to his own habits. First, detect whether the number of characters entered by the user is greater than the preset threshold. If the number of characters entered by the user is greater than the preset threshold, detect whether the user presses the preset key. If it is detected that the user presses the preset key, obtain the character input by the user. Character content, and query the corresponding association words in the association library according to the character content, and send the association words to the input method interface, for example, the user wants to get the "King" son, the preset threshold is 2 characters, the characters entered by the user When the content is "wan", the number of characters detected is greater than the preset threshold, it is detected whether the user presses the preset key, if it is detected that the user presses the preset key, it will be "play, end, night, pill, king, Wang" Wait for the association words to be sent to the input interface for the user to choose. Of course, if the user does not press the preset key when entering the three-character character content, the front desk will not send a fuzzy request to the background to query the association words. Whether to press the preset key for four characters, if it is detected that the user presses the preset key when entering the four characters "wang", it will automatically trigger the query Command, find predict words "wang" in the corresponding library association, the "Wang, Wang, network, forget" and other words of Lenovo sent to the input interface for user selection.

In other embodiments, it is also possible to directly detect whether the user presses the preset key without detecting whether the number of characters of the input character is greater than the preset threshold, that is, as long as the user presses the preset key, the Find association words in association library to make association.

The associative method of the input method proposed in this embodiment detects whether the user presses the preset key if the number of characters is greater than a preset threshold, and then obtains the character corresponding to the input instruction if the user presses the preset key is detected Content; realizes the association by detecting whether the user presses the preset key, so as to more accurately find the association words that meet the user's wishes, improve the user experience, and at the same time avoid meaningless associations, improve the efficiency of association , Reducing the pressure on the processor.

Based on the second embodiment, a third embodiment of the association method of the input method of the present application is proposed. Referring to FIG. 4, in this embodiment, step S40 includes:

Step S41: Obtain input content that the user has input in the text editor, and perform semantic analysis on the input content to obtain semantic content after semantic analysis;

In this embodiment, different input methods correspond to different Lenovo libraries. For example, the Chinese input method corresponds to a Chinese Lenovo library, and the English input method corresponds to an English Lenovo library. When it is detected that the number of characters input by the user is greater than the preset threshold, a fuzzy query request is sent to the background to query the association words that match the character content from the association vocabulary, wherein, when the number of characters input by the user is detected to be greater than the preset At the threshold, you can perform semantic analysis on the input content that the user has entered in the text editor, which includes input boxes, notepads, document editing interfaces, and so on. After performing semantic analysis on the input content that has been input, the semantic content after semantic analysis is obtained.

Step S42: Perform word segmentation processing and part-of-speech tagging processing on the semantic content to extract keywords in the semantic content and determine whether there is only one keyword;

In this embodiment, the semantic environment corresponding to the semantic content is determined according to the semantic content. The input content that the user has entered in the text editor is the user's focus. The characters entered by the user through the input method are closest to the semantic environment corresponding to the semantic content. Therefore, the user's input requirements can be estimated according to the semantic environment of the input method. The semantic environment refers to the context environment in which the character content input by the user is located. Specifically, in a Chinese sentence, all words are continuous, and the minimum unit granularity of data analysis is words, so word segmentation processing is required, including the need to mark the part of speech, such as nouns, subordinate words, adjectives, quantifiers, etc. The purpose of part-of-speech tagging is to allow the sentence to incorporate more useful linguistic information in the subsequent processing. Of course, for some text processing tasks, you can not use part-of-speech tagging and then remove stop words. Stop words are not responsible for text features. Contributing words, such as, ah, punctuation, etc., need to remove these stop words during text analysis, and then obtain the target words after removing the useless words, and then based on part of speech analysis, you can use adjectives, quantifiers, etc. Remove unimportant part-of-speech words, get keywords, and determine if there is one.

Step S43, if there is only one keyword, search for the classification label corresponding to the keyword, and determine the semantic environment of the semantic content according to the classification label, and according to the association of the semantic environment in the input method type The library searches for the associated words corresponding to the character content, and sends the associated words to the input method interface.

In this embodiment, if there is only one keyword, the classification label corresponding to the keyword is directly searched in the thesaurus, where the classification label refers to the category corresponding to each word, and the semantic can be determined according to the category corresponding to each word The semantic environment corresponding to the content, for example, for example, the input content that the user has entered is to introduce a literary article, the input content is "The Dream of the Red Mansion written by Cao Xueqin", after removing stop words and unimportant parts of speech through part of speech analysis , Get the keyword "Dream of Red Mansions" ", Then directly search the lexicon for the classification label corresponding to" Hong Lou Meng "as" books ", which can be further classified as" literary books ", and then determine the semantic environment in which the character content entered by the user is considered to be related to literary books. According to the semantic environment and character content, find the corresponding association words in the association library, and send the association words to the input method interface, where the association library includes multiple thesauruses, and find the corresponding association words in the thesaurus corresponding to the semantic environment For example, look up the corresponding associative words in the lexicon of literature.

The association method of the input method proposed in this embodiment performs word segmentation processing and part-of-speech tagging processing on the semantic content to extract keywords in the semantic content and determine whether there is only one of the keywords, and then if There is only one keyword, search for the classification label corresponding to the keyword, and determine the semantic environment of the semantic content according to the classification label, and search for the character in the associative library corresponding to the input method type according to the semantic environment Associative words corresponding to the content and send the associated words to the input method interface; when one keyword is used, the semantic environment is determined according to the classification label, and the associated words are searched in the association library according to the semantic environment, so as to be more accurate Finding semantically-associated association words improves the accuracy of association.

Based on the third embodiment, a fourth embodiment of the association method of the input method of the present application is proposed. Referring to FIG. 5, in this embodiment, after step S42, the method further includes:

Step S44, if there are multiple keywords, search for the target lexicon corresponding to the keyword in the associative library corresponding to the input method type;

In this embodiment, when word segmentation processing or part-of-speech tagging processing is performed on the semantic content, multiple keywords are obtained, and then each lexicon corresponding to the multiple keywords is determined and calculated according to the number of keywords appearing in each lexicon The weight of the lyric library, wherein the lexicon containing more keywords corresponds to a greater weight, and the largest weight among the weights is taken as the target lexicon.

Step S45: Search for the associated words corresponding to the character content in the target lexicon.

In this embodiment, the association word corresponding to the character content is searched in the target lexicon. For example, the weight of the lexicon is obtained by calculating the weight, and then the lexicon is used as the target lexicon. To find the corresponding associative words.

Wherein, the step of searching the target lexicon corresponding to the keyword in the associative library corresponding to the input method type includes:

Step S441: Determine each lexicon corresponding to each keyword, and calculate the weight of each lexicon according to the number of occurrences of the keyword in each lexicon. Among them, the weight corresponding to the lexicon with more keywords The greater the value;

In this embodiment, the keyword can be a single word or a word composed of multiple words. The associative library includes multiple lexicons. A word in Chinese may express multiple meanings, and a certain keyword can exist Among the multiple thesauruses in the associative library, when there are more keywords in a certain thesaurus, the higher priority of the thesaurus is considered. Specifically, first determine the thesaurus where each keyword is located, and determine each The number of keywords in the thesaurus, where the weight of the thesaurus can be determined according to the number of keywords in the thesaurus, for example, the keywords have a, b, c, d, a, b two keywords exist In the A vocabulary, the two keywords a and c exist in the B vocabulary, and the three keywords a, c, d exist in the C vocabulary, then the weight of the A vocabulary is 2, and the B lexicon has a weight of 2. The weight value is 2, and the weight value of the C thesaurus is 3.

In step S442, the lexicon corresponding to the largest weight value in the weight values is used as the target lexicon.

In this embodiment, when there are more keywords in a thesaurus, it is considered that the weight of the thesaurus is greater, and the priority of the thesaurus is higher, and the thesaurus corresponding to the largest weight of the weights is targeted The vocabulary, the target vocabulary is the vocabulary with the highest priority, and the association words are searched from the vocabulary with the highest priority.

The associative method of the input method proposed in this embodiment, by searching for the target lexicon corresponding to the keyword in the associative library corresponding to the input method type if there are multiple keywords, and then searching for the target word Look up the association words corresponding to the character content in the library; achieve more accurate and improve the accuracy of finding association words, thereby improving the efficiency of association.

Based on the above embodiment, a fifth embodiment of the association method of the input method of the present application is proposed. Referring to FIG. 6, in this embodiment, step S40 includes:

Step S46: Obtain the browsing content on the browsing interface within a preset time period of the user, perform semantic analysis on the browsing content, determine the browsing type of the browsing content according to the analysis result, and search for the location in the Lenovo library corresponding to the input method Thesaurus corresponding to the browsing type;

In this embodiment, the user may enter content related to the browsing content within a preset time period after browsing the browsing interface. For example, some users may immediately write after reading a book, or they may feel after reading a book. When there is a news item, immediately go to the search site to search for related news information, so you can classify the Lenovo library, for example, into general-purpose, chemical, computer, literature and other lexicons, according to the user ’s browsing content in the browsing interface Select a thesaurus with high priority, perform semantic analysis on the content browsed by the user, and determine the browse type of the browsed content according to the analysis result. For example, when the user browses a military news website, the user's browsed content is obtained and the browsed content is analyzed. Semantic analysis, if the browsing content is military-related news, then search the lexicon corresponding to the military category in the Lenovo database.

Step S47: Search for the associative words corresponding to the character content in the thesaurus corresponding to the browsing type.

In this embodiment, a fuzzy query is performed in the high-priority lexicon based on the content browsed by the user on the browsing interface to make associative word recommendations. For example, if it is detected that the user is browsing a web page about a computer, a crawler is used Grab webpage data, and perform semantic analysis on the captured data. According to the analysis results, determine that the browsing type corresponding to the browsed content is computer type, and then first obtain the associative words from the computer lexicon, and then find the associative words from other lexicons. And display the found associative words on the input method interface for users to choose.

The association method of the input method proposed in this embodiment obtains the browsing content of the browsing interface within a preset time period by the user, performs semantic analysis on the browsing content, determines the browsing type of the browsing content according to the analysis result, and Search the lexicon corresponding to the browsing type in the associative library corresponding to the input method, and then search for the associative words corresponding to the character content in the lexicon corresponding to the browsing type; Search for associative words, thus improving the efficiency of searching.

Based on the first embodiment, a sixth embodiment of the association method of the input method of the present application is proposed. Referring to FIG. 7, in this embodiment, step S20 includes:

Step S21: Obtain the preset threshold corresponding to the input method type and the number of characters entered by the user;

In this embodiment, different character number restriction rules may be set according to different input method types, that is, the preset thresholds corresponding to different input method types may be different, so, when the user's input instruction is received, the input instruction is determined Corresponding to the input method type of the input method, obtain the preset threshold corresponding to the current input method type, and obtain the number of characters entered by the user, for example, if the current input method type is Chinese input, the preset threshold of characters is 4, If it is detected that the current input method type is English input, the preset threshold of characters is 5.

Step S22: Compare the number of characters with the preset threshold to determine whether the number of characters is greater than the preset threshold.

In this embodiment, the number of characters input by the user is detected in real time, and it is determined whether the number of characters is greater than a preset threshold. If the number of characters is greater than the preset threshold, the corresponding association word is searched in the association library according to the content of the input character, and the Associative words are sent to the input method interface for users to choose.

The associative method of the input method proposed in this embodiment determines the character by obtaining the preset threshold corresponding to the input method type and the number of characters of the user input character, and then comparing the number of characters with the preset threshold Whether the number is greater than the preset threshold; different preset thresholds are determined according to different input method types, which can be applied to associations of different input method types, which further improves the efficiency of association.

In addition, the embodiments of the present application also provide an input method association device.

Referring to FIG. 8, FIG. 8 is a schematic diagram of function modules of the first embodiment of the Lenovo method of the input method of the present application.

The associative device of the input method of the present application is a virtual device, and is stored in the memory 1005 of the associative device of the input method shown in FIG. 1 to implement all functions of computer-readable instructions: receiving user input instructions, and determining that the output instructions correspond to Input method type; obtain the number of characters entered by the user and determine whether the number of characters is greater than a preset threshold; if the number of characters is greater than the preset threshold, obtain the character content corresponding to the input instruction; in the input method The association library corresponding to the type searches for the association words corresponding to the character content, and sends the association words to the input method interface.

Specifically, in this embodiment, the associative device of the input method includes:

The receiving module 101 is configured to receive a user's input instruction and determine the input method type corresponding to the input instruction;

The first obtaining module 102 obtains the number of characters entered by the user, and determines whether the number of characters is greater than a preset threshold;

The second obtaining module 103, if the number of characters is greater than a preset threshold, obtain the character content corresponding to the input instruction;

The association module 104 searches for association words corresponding to the character content in the association library corresponding to the input method type, and sends the association words to the input method interface.

Further, the second obtaining module 103 is also used to:

Further, the Lenovo module 104 is also used to:

Further, the first obtaining module 102 is also used to:

Wherein, the function implementation of each module in the above-mentioned associative device of the input method corresponds to the steps in the above-mentioned associative method embodiment of the input method, and the functions and implementation processes thereof will not be described here one by one.

In addition, an embodiment of the present application further provides a readable storage medium, and the computer-readable storage medium may be a non-volatile readable storage medium.

Computer readable instructions are stored on the readable storage medium of the present application, wherein when the computer readable instructions are executed by the processor, the steps of the associative method of the input method described above are implemented.

For the method implemented when the computer-readable instructions are executed, reference may be made to various embodiments of the associative method of the input method of the present application, and details are not described herein again.

It should be noted that in this article, the terms "include", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system that includes a series of elements includes not only those elements, It also includes other elements that are not explicitly listed, or include elements inherent to this process, method, article, or system. Without more restrictions, the element defined by the sentence "include one ..." does not exclude that there are other identical elements in the process, method, article or system that includes the element.

The sequence numbers of the above embodiments of the present application are for description only, and do not represent the advantages and disadvantages of the embodiments.

Through the description of the above embodiments, those skilled in the art can clearly understand that the methods in the above embodiments can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware, but in many cases the former is better Implementation. Based on this understanding, the technical solution of the present application can be embodied in the form of a software product in essence or part that contributes to the existing technology, and the computer software product is stored in a storage medium (such as ROM / RAM) as described above , Magnetic disks, optical disks), including several instructions to enable a terminal device (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to perform the method described in each embodiment of the present application.

The above are only the preferred embodiments of the present application, and do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made by using the description and drawings of this application, or directly or indirectly used in other related technical fields , The same reason is included in the scope of patent protection of this application.

Claims

An input method association method, characterized in that the input method association method includes the following steps:

Receiving an input instruction from a user, and determining an input method type corresponding to the input instruction;

Obtain the number of characters entered by the user, and determine whether the number of characters is greater than a preset threshold;

If the number of characters is greater than a preset threshold, obtain the character content corresponding to the input instruction;

Finding the association words corresponding to the character content in the association library corresponding to the input method type, and sending the association words to the input method interface.
The associative method of the input method according to claim 1, wherein the step of acquiring the character content corresponding to the input instruction if the number of characters is greater than a preset threshold includes:

If the number of characters is greater than the preset threshold, it is detected whether the user presses the preset key;

If it is detected that the user presses the preset key, the character content corresponding to the input instruction is obtained.
The associative method of the input method according to claim 2, wherein the associative word corresponding to the character content is searched in the associative library corresponding to the input method type, and the associative word is sent to the input method The steps of the interface include:

Obtain the input content that the user has input in the text editor, and perform semantic analysis on the input content to obtain semantic content after semantic analysis;

Performing word segmentation processing and part-of-speech tagging processing on the semantic content to extract keywords in the semantic content and determine whether there is only one of the keywords;

If there is only one keyword, search for the classification label corresponding to the keyword, and determine the semantic environment of the semantic content according to the classification label, and search in the Lenovo library corresponding to the input method type according to the semantic environment Associate words corresponding to the character content, and send the associate words to the input method interface.
The associative method of the input method according to claim 3, wherein the semantic content is subjected to word segmentation processing and part-of-speech tagging processing to extract keywords in the semantic content and determine whether the keywords are After only one step, the association method of the input method further includes:

If there are multiple keywords, search for the target lexicon corresponding to the keyword in the associative library corresponding to the input method type;

Finding the associated words corresponding to the character content in the target lexicon.
The associative method of an input method according to claim 4, wherein the associative library includes a plurality of lexicons, and the target word corresponding to the keyword is searched for in the associative library corresponding to the input method type The steps of the library include:

Determine each thesaurus corresponding to each of the keywords, and calculate the weight of each thesaurus based on the number of occurrences of the keyword in each thesaurus, where the weights corresponding to the thesaurus with more keywords are greater ;

The lexicon corresponding to the largest weight in the weights is used as the target lexicon.
The associative method of an input method according to claim 1, wherein the step of searching for associative words corresponding to the character content in the associative library corresponding to the input method type includes:

Obtain the browsing content of the browsing interface within a preset time period of the user, perform semantic analysis on the browsing content, determine the browsing type of the browsing content according to the analysis result, and find the browsing type in the Lenovo library corresponding to the input method The corresponding thesaurus;

Searching for the associative words corresponding to the character content in the thesaurus corresponding to the browsing type.
The associative method of the input method according to claim 1, wherein the step of acquiring the number of characters input by the user and determining whether the number of characters is greater than a preset threshold includes:

Obtain the preset threshold corresponding to the input method type and the number of characters entered by the user;

Comparing the number of characters with the preset threshold to determine whether the number of characters is greater than the preset threshold.
An input method associative device, characterized in that the input method associative device includes:

A receiving module, configured to receive a user's input instruction and determine the input method type corresponding to the input instruction;

The first obtaining module is used to obtain the number of characters input by the user and determine whether the number of characters is greater than a preset threshold;

A second obtaining module, configured to obtain the character content corresponding to the input instruction if the number of characters is greater than a preset threshold;

The association module is configured to search for association words corresponding to the character content in the association library corresponding to the input method type, and send the association words to the input method interface.
The associative method of the input method according to claim 8, wherein the second acquisition module is further used to:

If the number of characters is greater than the preset threshold, it is detected whether the user presses the preset key;

If it is detected that the user presses the preset key, the character content corresponding to the input instruction is obtained.
The associative method of the input method according to claim 9, wherein the associative module is further used to:

Obtain the input content that the user has input in the text editor, and perform semantic analysis on the input content to obtain semantic content after semantic analysis;

Performing word segmentation processing and part-of-speech tagging processing on the semantic content to extract keywords in the semantic content and determine whether there is only one of the keywords;

If there is only one keyword, search for the classification label corresponding to the keyword, and determine the semantic environment of the semantic content according to the classification label, and search in the Lenovo library corresponding to the input method type according to the semantic environment Associate words corresponding to the character content, and send the associate words to the input method interface.
The associative method of the input method according to claim 10, wherein the associative module is further used to:

If there are multiple keywords, search for the target lexicon corresponding to the keyword in the associative library corresponding to the input method type;

Finding the associated words corresponding to the character content in the target lexicon.
The association method of the input method according to claim 11, wherein the association module is further used to:

Determine each thesaurus corresponding to each of the keywords, and calculate the weight of each thesaurus based on the number of occurrences of the keyword in each thesaurus, where the weights corresponding to the thesaurus with more keywords are greater ;

The lexicon corresponding to the largest weight in the weights is used as the target lexicon.
An input method associative device, characterized in that the input method associative device includes a processor, a memory, and computer readable instructions stored on the memory and executable by the processor, wherein the computer When the readable instructions are executed by the processor, the steps of the associative method of the input method according to claim 1 are realized.
An input method associative device, characterized in that the input method associative device includes a processor, a memory, and computer readable instructions stored on the memory and executable by the processor, wherein the computer When the readable instructions are executed by the processor, the steps of the associative method of the input method according to claim 2 are implemented.
An input method associative device, characterized in that the input method associative device includes a processor, a memory, and computer readable instructions stored on the memory and executable by the processor, wherein the computer When the readable instructions are executed by the processor, the steps of the association method of the input method according to claim 3 are implemented.
An input method associative device, characterized in that the input method associative device includes a processor, a memory, and computer readable instructions stored on the memory and executable by the processor, wherein the computer When the readable instructions are executed by the processor, the steps of the association method of the input method according to claim 4 are realized.
A readable storage medium, characterized in that computer readable instructions are stored on the readable storage medium, wherein when the computer readable instructions are executed by a processor, the association of the input method according to claim 1 Method steps.
An input method associative device, characterized in that the input method associative device includes a processor, a memory, and computer readable instructions stored on the memory and executable by the processor, wherein the computer When the readable instructions are executed by the processor, the steps of the associative method of the input method according to claim 2 are implemented.
An input method associative device, characterized in that the input method associative device includes a processor, a memory, and computer readable instructions stored on the memory and executable by the processor, wherein the computer When the readable instructions are executed by the processor, the steps of the association method of the input method according to claim 3 are implemented.
An input method associative device, characterized in that the input method associative device includes a processor, a memory, and computer readable instructions stored on the memory and executable by the processor, wherein the computer When the readable instructions are executed by the processor, the steps of the association method of the input method according to claim 4 are realized. The