WO2016131260A1

WO2016131260A1 - Word processing method and apparatus

Info

Publication number: WO2016131260A1
Application number: PCT/CN2015/090282
Authority: WO
Inventors: 陈军
Original assignee: 中兴通讯股份有限公司
Priority date: 2015-07-15
Filing date: 2015-09-22
Publication date: 2016-08-25
Also published as: CN106708797A; CN106708797B

Abstract

A word processing method and apparatus. The method comprises: according to the position of first text information selected by a user in a file, acquiring second text information to be analysed, wherein the second text information comprises the first text information and extended text information adjacent to the first text information (S110);and performing semantic analysis on the first text information in the second text information, and acquiring an analysis result of the first text information (S120).This method solves the problem in the related art that a query result is inaccurate due to the fact that a terminal device performs querying with regard to a keyword selected by a user in the method for querying a text.

Description

Word processing method and device

Technical field

This paper relates to the field of word processing technology, especially a word processing method and device.

Background technique

With the development and popularization of computers, as well as higher demands on energy conservation and environmental protection, users' reading forms are gradually changed from paper documents to electronic files. Generally, users can view files through computers or smart terminals, and read documents. The process can query the text in the file in real time, which is more convenient than the paper file. At present, when querying the text content in the electronic file, the user usually manually selects some keywords as the object of the query, and the query operation of the terminal device is specifically targeted to the keyword selected by the user, for example, may be a phrase, an English word or a set of numbers. .

Obviously, the text selected by the user may have multiple meanings or part of speech, and the query operation of the terminal device is difficult to obtain an accurate interpretation of the text. Therefore, the manner of querying the text in the related art is performed by the terminal device for the keyword selected by the user. Query, which leads to inaccurate query results.

Summary of the invention

The technical problem to be solved by the present invention is to provide a word processing method and apparatus for solving the problem of querying text in the related art. The terminal device searches for keywords selected by the user, which leads to inaccurate query results.

In order to solve the above technical problems, the following technical solutions are adopted:

A word processing method, including:

Obtaining second text information according to a location of the selected first text information in the file, wherein the second text information includes the first text information and extended text information adjacent to the first text information;

Performing semantic analysis on the first text information in the second text information, and acquiring an analysis result of the first text information.

Optionally, before the step of performing semantic analysis on the first text information in the second text information, the method further includes:

Comparing the first text information and the second text information, performing character type analysis on the first text information;

Determining whether the first text information and the extended text information have the same character type;

Querying an interpretation of the first text information or prompting a corresponding operation on the first text information when the first text information is different from the character type of the extended text information;

When the first text information is the same as the character type of the extended text information, the first text information is semantically analyzed in the second text information, and an analysis result of the first text information is obtained.

Optionally, the step of performing semantic analysis on the first text information in the second text information includes:

Performing semantic analysis on the first text information in the second text information, and determining whether the location of the selected first text information is accurate;

Obtaining an analysis result of the first text information when it is determined that the location of the selected first text information is accurate;

When it is determined that the positioning of the selected first text information is inaccurate, the first text information is reselected, and an analysis result of the reselected first text information is obtained.

Optionally, the reselected first text information includes:

Part of the first textual information selected; or,

a selected portion of the first text information and a portion of the extended text information; or,

The selected first text information and a portion of the extended text information.

Optionally, after the obtaining the analysis result of the first text information, the method further includes:

The analysis results are displayed on a graphical user interface GUI.

A word processing device includes an acquisition module and a semantic analysis module, wherein:

The obtaining module is configured to: obtain, according to a location of the selected first text information in the file, Second text information, wherein the second text information includes the first text information and extended text information adjacent to the first text information;

The semantic analysis module is configured to perform semantic analysis on the first text information in the second text information acquired by the obtaining module, and obtain an analysis result of the first text information.

Optionally, the device further includes: a character analysis module and a determination module, where

The character analysis module is configured to compare the first text information and the second text information before the semantic analysis module performs semantic analysis on the first text information in the second text information The first text information is subjected to character type analysis;

The determining module is configured to: determine whether the first text information and the extended text information have the same character type;

The character analysis module is further configured to: when the determining module determines that the first text information is different from the character type of the extended text information, querying the interpretation of the first text information or prompting the first text information Perform the corresponding operations;

The semantic analysis module is configured to perform semantic analysis on the first text information in the second text information acquired by the obtaining module, and obtain an analysis result of the first text information: in the determining module When it is determined that the first text information is the same as the character type of the extended text information, the first text information is semantically analyzed in the second text information, and the analysis result of the first text information is obtained.

Optionally, the device further includes a determining module, where

The determining module is configured to: determine, during the semantic analysis of the first text information in the second text information, whether the positioning of the selected first text information is accurate;

The semantic analysis module is further configured to: when the determining module determines that the location of the selected first text information is accurate, acquiring an analysis result of the first text information;

The semantic analysis module is further configured to: when the determining module determines that the location of the selected first text information is inaccurate, reselect the first text information, and acquire the first text information for reselection Analysis results.

Optionally, the first text information that is reselected by the semantic analysis module includes:

Part of the first textual information selected; or,

Optionally, the device further includes: a display module, where

The display module is configured to display the analysis result on the graphical user interface GUI after the semantic analysis module acquires the analysis result.

A computer program comprising program instructions that, when executed by a computer, cause the computer to perform any of the above-described word processing methods.

A carrier carrying the computer program as described.

The text processing method and device provided by the technical solution of the present invention obtain the second text information to be analyzed by combining the first text information selected by the user with the specific location of the first text information in the file, the second text information including the above The first text information and the extended text information selected by the user, so as to perform semantic analysis on the first text information in the second text information to obtain an analysis result; the method provided by the present invention expands the query on the individual text information to The specific analysis carried out in the context can obtain the specific interpretation of the text, the part of speech, the components in the sentence and other characteristics, with more comprehensive and accurate analysis results; solve the way of querying text in related technologies, because the terminal equipment is selected for the user Keywords are queried, resulting in inaccurate query results.

BRIEF abstract

The drawings are used to provide a further understanding of the technical solutions of the present invention, and constitute a part of the specification, which together with the embodiments of the present application are used to explain the technical solutions of the present invention, and do not constitute a limitation of the technical solutions of the present invention.

FIG. 1 is a flowchart of a text processing method according to an embodiment of the present invention;

2 is a flowchart of another word processing method according to an embodiment of the present invention;

FIG. 3 is a flowchart of still another text processing method according to an embodiment of the present invention;

4 is a schematic structural diagram of a word processing apparatus according to an embodiment of the present invention;

FIG. 5 is a schematic structural diagram of another word processing apparatus according to an embodiment of the present invention.

Preferred embodiment of the invention

The following is an overview of the topics detailed in this document. This Summary is not intended to limit the scope of the claims.

Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be noted that, in the case of no conflict, the features in the embodiments and the embodiments in the present application may be arbitrarily combined with each other.

The steps illustrated in the flowchart of the figures may be executed in a computer system such as a set of computer executable instructions. Also, although logical sequences are shown in the flowcharts, in some cases the steps shown or described may be performed in a different order than the ones described herein.

FIG. 1 is a flowchart of a text processing method according to an embodiment of the present invention. The text processing method provided in this embodiment is applicable to a text query in an electronic file, and the method can be executed by a word processing device. The word processing device is usually implemented in hardware and software, and can usually be integrated in the terminal. In the processor of the device, the terminal device is, for example, a personal computer (Personal Computer, PC for short) or a smart terminal. As shown in FIG. 1, the method in this embodiment may include:

S110. Acquire second text information to be analyzed according to a location of the first text information selected by the user in the electronic file, where the second text information includes first text information and extended text information adjacent to the first text information.

The application scenario of the embodiment is, for example, the user reading an electronic file through a smart terminal, and the electronic file may be in a format such as Word, Excel, or PDF, and may be applied to a text message, an instant message, or the like by the user through the smart terminal. In the processing of the information, the smart terminal may be, for example, a terminal having a touch screen, and the user selects the first text information in the electronic file by a touch operation, and the first text information is, for example, a phrase. In the related art, after selecting a phrase, the user usually directly specifies the manner of the query, such as searching a dictionary, searching for encyclopedic knowledge of the network query, and the like.

In the method provided in this embodiment, the first text information selected by the user is not directly queried. The second text information to be analyzed may be obtained by combining the position of the first text information in the electronic file currently read by the user, that is, the second text information to be analyzed may be combined with the context content of the first text information. The content adjacent to the first text information is defined as the extended text information in the embodiments of the present invention; in a specific implementation, the extended text information is added as a boundary, for example, by using the punctuation marks appearing in the file as a boundary. The standard uses the left and right text of the first text information as the extended text information, and combines with the first text information to form the second text information to be analyzed.

S120: Perform semantic analysis on the first text information in the second text information, and obtain an analysis result of the first text information.

Usually, a phrase can be a verb or a name in different sentences, and can be a derogatory or derogatory term in different contexts, and a single appearing phrase can have multiple interpretations in either Chinese or English. For example, using the related art query method, although various explanations of the phrase can be obtained, the meaning of the phrase in the file cannot be accurately determined. If it is necessary to obtain the meaning of the phrase in the file, the user needs to combine the context. Subjective judgment, or one step of the command prompt operation with the intelligent terminal, select a suitable explanation.

In this embodiment, the object to be analyzed is not limited to the text content selected by the user, and the first text information selected by the user needs to be placed in a specific context in combination with the first text information selected by the user and the semantics of the context. In the analysis, the analysis result suitable for the context can be obtained, and the analysis result includes, for example, the part of speech of the phrase, the explanation, and the components in the sentence, such as a subject, a predicate or an object. Obviously, the method provided by this embodiment can obtain a more comprehensive and accurate analysis of the first text information.

The text processing method provided by the embodiment obtains the second text information to be analyzed by using the first text information selected by the user and the specific location of the first text information in the file, where the second text information includes the user selection. First text information and extended text information, so that the first text information in the second text information is semantically analyzed to obtain an analysis result; the method provided in this embodiment expands the query of the individual text information into a language The specific analysis carried out in the environment can obtain the specific interpretation of the text, the part of speech, the characteristics of the elements in the sentence, and have more comprehensive and accurate analysis results; solve the method of querying text in related technologies, because the terminal device is selected for the user. Keywords are queried, resulting in inaccurate query results.

Optionally, after the foregoing analysis result is obtained, the method provided in this embodiment may further perform an intelligent judgment, and further guide the user to perform a corresponding operation, that is, the method provided in this embodiment shown in FIG. 1 further includes: S130, in the graphic The analysis result is displayed on the graphical user interface (GUI), and the user is instructed to perform corresponding operations on the analysis result; for example, if the analysis result is a place name, the user may be prompted whether to go to the place to perform the navigation operation. If the analysis result is a phone number, the user may be prompted whether the number needs to be dialed. If the analysis result is an idiom, the user may be prompted to obtain a specific explanation by querying the dictionary. In addition, the user may be instructed to perform copying to the clipboard or by searching. Engine search and other operations.

It should be noted that, in this embodiment, the content of some specific operations performed on the analysis result is taken as an example. The present invention does not limit the operation content that is performed by the user after the analysis result is obtained, as long as it can be the first The prompt operation of matching the text information can be applied to various embodiments of the present invention to improve the intelligence of the method and is convenient for the user to use.

FIG. 2 is a flowchart of another text processing method according to an embodiment of the present invention. This embodiment is further described based on the embodiment shown in FIG. 1 above. The method provided in this embodiment may include:

S111. Perform character type analysis on the first text information by comparing the first text information with the second text information.

S112. Determine whether the character type of the first text information and the extended text information are the same. If not, execute S113. If they are the same, execute S120.

Specifically, when the character type of the first text information is different from the extended text information, step S113 is performed to query the interpretation of the first text information or prompt the user to perform corresponding operations on the first text information.

When the first text information is the same as the character type of the extended text information, S120 is performed, the first text information is semantically analyzed in the second text information, and the analysis result of the first text information is obtained.

In this embodiment, the analysis of the character type is performed before the first text information is analyzed. For example, if the selected first text information is different from the extended text information of the context in the language and character type, such as the selected The first text message is an English word, and the extended text message is Chinese. Then, the dictionary database can be directly queried to give a Chinese interpretation of the first text information, and the user can be guided to select a dictionary or webpage search to obtain a Chinese interpretation of the first text information; for example, the selected first text information is a number. Further, according to whether the extended text information of the judgment context is a feature number such as a phone number or a currency number, the subsequent smart terminal is prompted to prompt the user to perform the corresponding operation.

The method provided in this embodiment first introduces the analysis of the character type before performing the semantic analysis. Since the character type is more intuitive, the content and the workload of the execution judgment are relatively small, and the appropriate interpretation can be directly given after the compound judgment rule. Or guiding the user to perform the corresponding operation, further reducing the workload when performing the text query by the method provided by the embodiment, and improving the convenience of the text processing method.

Optionally, when the user selects the first text information to be queried in the file, the user also selects as an example on the smart terminal with the touch screen, and the user clicks on the screen to select the first text information, because the touch screen sensing system The problem, or the inaccurate user touch, may cause the first text information recognized by the smart terminal not to be the text that the user wants to select, that is, the problem that the word selection may be inaccurate, so that the method in the related art is very It is difficult to query the interpretation of the text that the user desires to query, or the user needs to re-execute the selection operation to obtain the text of the desired query. The query operation in the text requires the user to perform a complicated selection process, and the accuracy of the touch selection operation is not only It is a subjective choice problem of the user, and may be a recognition problem of touch sensing.

The present invention provides a solution to the above problem. As shown in FIG. 3, it is a flowchart of still another text processing method according to an embodiment of the present invention. The S120 in the embodiment may be further described as an example. The S120 in the embodiment may include: S121, performing semantic analysis on the first text information in the second text information; S122, determining user selection Whether the positioning of the first text information is accurate; if it is accurate, S123 is performed, and if it is not accurate, S124 is performed.

S123. Acquire an analysis result of the first text information.

S124. Reselect the first text information, and obtain an analysis result of the reselected first text information.

In this embodiment, the specific manner of placing the first text information in the context of the first text information for analysis is similar to the above embodiment, and the components of the first text information, such as a subject, a predicate, and an object, may be analyzed. Attributive, adverbial or complement, etc., can also analyze its part of speech, such as verbs, nouns or adjectives, etc. In the process of analysis, it can be combined with extended text information to judge the first text. Whether the location of the information is accurate, that is, whether the selected text is the text that the user wishes to select, and if it is determined that the selected first text information is obviously not a complete phrase, or includes redundant content of conjunctions and articles, The first text information may be re-selected, and the first text information may be subjected to word breaking or supplementary context content. For example, the text that the user desires to select is a four-character idiom, but only the previous one is selected due to the clicking operation. Three words, when S124 is executed, the first text information can be supplemented as a complete idiom. In this way, when the user selects the text, whether the first word or the last word is selected, the text that the user wishes to select can be correctly identified, and the modified text is intelligently modified according to the predefined rules to be the correct text that the user wishes to select; The re-selected first text information acquired by the defined rule includes, for example, a portion of the first text information selected by the user; or a portion of the first text information and the partially extended text information selected by the user; or the first text information selected by the user and Part of the extended text information.

The method provided in this embodiment can intelligently determine the text of the user's interest for analysis and processing, and intelligently conduct the guided interaction, further simplifying the user operation and improving the user experience.

It should be noted that, in the embodiment shown in FIG. 3, the analysis result of the text that the user needs to select may be obtained whether S123 or S124 is executed. Therefore, after S123 or S124, S130 may be performed to execute S130. The specific manner is the same as the embodiment shown in FIG. 1 above, and therefore no further details are provided herein.

FIG. 4 is a schematic structural diagram of a word processing apparatus according to an embodiment of the present invention. The word processing apparatus provided in this embodiment is suitable for the case of performing text query in an electronic file. The word processing apparatus is usually implemented in hardware and software, and can be integrated into a processor of a terminal device, for example, the terminal device, for example. For PC or smart terminal, etc. As shown in FIG. 4, the word processing apparatus of this embodiment specifically includes: an obtaining module 11 and a semantic analysis module 12.

The obtaining module 11 is configured to: obtain second text information to be analyzed according to a position of the first text information selected by the user in the file, where the second text information includes the first text information and is adjacent to the first text information. Extended text information.

The semantic analysis module 12 is configured to: perform semantic analysis on the first text information in the second text information acquired by the obtaining module 11, and obtain an analysis result of the first text information.

Optionally, the apparatus provided in this embodiment further includes: a display module 13 configured to: after the semantic analysis module 12 obtains the analysis result, display the analysis result on the GUI of the graphical user interface, and The user is shown to operate the analysis results accordingly.

The word processing device provided by the embodiment of the present invention is used to execute the word processing method provided by the embodiment shown in FIG. 1 of the present invention, and has a corresponding function module, and the implementation principle and technical effect thereof are similar, and details are not described herein again.

FIG. 5 is a schematic structural diagram of another word processing apparatus according to an embodiment of the present invention. The present embodiment is further described based on the embodiment shown in FIG. 4, and the apparatus provided in this embodiment further includes: a character analysis module 14 configured to: in the second text information, the semantic analysis module 12 Before the semantic analysis of the text information, comparing the first text information and the second text information, character type analysis is performed on the first text information; and the determining module 15 is configured to: determine whether the character type of the first text information and the extended text information are the same.

Correspondingly, the character analysis module 14 is further configured to: when the determining module 15 determines that the character type of the first text information and the extended text information is different, querying the interpretation of the first text information or prompting the user to perform corresponding information on the first text information. The semantic analysis module 12 is specifically configured to: when the determining module 15 determines that the first text information and the extended text information have the same character type, perform semantic analysis on the first text information in the second text information, and obtain the first Analysis of text information.

Optionally, in the specific implementation of the word processing apparatus shown in FIG. 5, the determining module 15 is further configured to: determine, during the semantic analysis of the first text information in the second text information by the semantic analysis module 12, Whether the positioning of the selected first text information is accurate. Correspondingly, the semantic analysis module 12 is further configured to: when the determination result of the determination module 15 is accurate, obtain an analysis result of the first text information; in addition, the semantic analysis module 12 is further configured to: the determination result of the determination module 15 When it is inaccurate, the first text information is reselected, and the analysis result of the reselected first text information is obtained.

It should be noted that the first text information reselected by the semantic analysis module 12 in this embodiment includes, for example, a part of the first text information selected by the user; or part of the first text information and partial extended text information selected by the user; or The first text information and the partially expanded text information selected by the user.

The word processing apparatus provided by the embodiment of the present invention is used to execute the word processing method provided by the embodiment shown in FIG. 2 and FIG. 3 of the present invention, and has a corresponding function module, and the implementation principle and the technical effect thereof are similar, and details are not described herein again.

The embodiment of the invention also discloses a computer program, comprising program instructions, which when executed by a computer, enable the computer to execute any of the above-mentioned word processing methods.

The embodiment of the invention also discloses a carrier carrying the computer program.

Other aspects will be apparent upon reading and understanding the drawings and detailed description.

While the embodiments of the present invention have been described above, the described embodiments are merely for the purpose of understanding the invention and are not intended to limit the invention. Any modification and variation in the form and details of the embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention. The scope defined by the appended claims shall prevail.

Industrial applicability

The text processing method and device provided by the technical solution of the present invention obtain the second text information to be analyzed by combining the first text information selected by the user with the specific location of the first text information in the file, the second text information including the above The first text information and the extended text information selected by the user, so as to perform semantic analysis on the first text information in the second text information to obtain an analysis result; the method provided by the present invention expands the query on the individual text information to The specific analysis carried out in the context can obtain the specific interpretation of the text, the part of speech, the components in the sentence and other characteristics, with more comprehensive and accurate analysis results; solve the way of querying text in related technologies, because the terminal equipment is selected for the user Keywords are queried, resulting in inaccurate query results. Therefore, the present invention has strong industrial applicability.

Claims

A word processing method, including:

Obtaining second text information according to a location of the selected first text information in the file, wherein the second text information includes the first text information and extended text information adjacent to the first text information;

Performing semantic analysis on the first text information in the second text information, and acquiring an analysis result of the first text information.
The word processing method according to claim 1, wherein before the step of performing semantic analysis on the first text information in the second text information, the method further comprises:

Comparing the first text information and the second text information, performing character type analysis on the first text information;

Determining whether the first text information and the extended text information have the same character type;

Querying an interpretation of the first text information or prompting a corresponding operation on the first text information when the first text information is different from the character type of the extended text information;

When the first text information is the same as the character type of the extended text information, the first text information is semantically analyzed in the second text information, and an analysis result of the first text information is obtained.
The word processing method according to claim 1, wherein the step of performing semantic analysis on the first text information in the second text information comprises:

Performing semantic analysis on the first text information in the second text information, and determining whether the location of the selected first text information is accurate;

Obtaining an analysis result of the first text information when it is determined that the location of the selected first text information is accurate;

When it is determined that the positioning of the selected first text information is inaccurate, the first text information is reselected, and an analysis result of the reselected first text information is obtained.
The word processing method according to claim 3, wherein said reselected first text information comprises:

Part of the first textual information selected; or,

a selected portion of the first text information and a portion of the extended text information; or,

The selected first text information and a portion of the extended text information.
The character processing method according to any one of claims 1 to 4, wherein after the obtaining the analysis result of the first text information, the method further comprises:

The analysis results are displayed on a graphical user interface GUI.
A word processing device includes an acquisition module and a semantic analysis module, wherein:

The obtaining module is configured to: acquire second text information according to a location of the selected first text information in the file, where the second text information includes the first text information and the first text information Extended text information of the neighbor;

The semantic analysis module is configured to perform semantic analysis on the first text information in the second text information acquired by the obtaining module, and obtain an analysis result of the first text information.
The word processing device according to claim 6, further comprising: a character analysis module and a determination module, wherein

The character analysis module is configured to compare the first text information and the second text information before the semantic analysis module performs semantic analysis on the first text information in the second text information The first text information is subjected to character type analysis;

The determining module is configured to: determine whether the first text information and the extended text information have the same character type;

The character analysis module is further configured to: when the determining module determines that the first text information is different from the character type of the extended text information, querying the interpretation of the first text information or prompting the first text information Perform the corresponding operations;

The semantic analysis module is configured to perform semantic analysis on the first text information in the second text information acquired by the obtaining module, and obtain an analysis result of the first text information: in the determining module When it is determined that the first text information is the same as the character type of the extended text information, the first text information is semantically analyzed in the second text information, and the analysis result of the first text information is obtained.
A word processing device according to claim 6, further comprising a judging module in,

The determining module is configured to: determine, during the semantic analysis of the first text information in the second text information, whether the positioning of the selected first text information is accurate;

The semantic analysis module is further configured to: when the determining module determines that the location of the selected first text information is accurate, acquiring an analysis result of the first text information;

The semantic analysis module is further configured to: when the determining module determines that the location of the selected first text information is inaccurate, reselect the first text information, and acquire the first text information for reselection Analysis results.
The word processing apparatus according to claim 8, wherein the first text information reselected by the semantic analysis module comprises:

Part of the first textual information selected; or,

a selected portion of the first text information and a portion of the extended text information; or,

The selected first text information and a portion of the extended text information.
The word processing device according to any one of claims 6 to 9, further comprising: a display module, wherein

The display module is configured to display the analysis result on the graphical user interface GUI after the semantic analysis module acquires the analysis result.
A computer program comprising program instructions which, when executed by a computer, cause the computer to perform the word processing method of any of claims 1-5.
A carrier carrying the computer program of claim 11.