CN106708797B - Word processing method and device - Google Patents
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Abstract
The invention discloses a word processing method and a word processing device. The word processing method comprises the following steps: acquiring second text information to be analyzed according to the position of first text information selected by a user in a file, wherein the second text information comprises the first text information and extended text information adjacent to the first text information; and performing semantic analysis on the first text information in the second text information, and acquiring an analysis result of the first text information. The invention solves the problem that in the text query mode in the prior art, the query result is inaccurate because the terminal equipment queries the keywords selected by the user.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a method and an apparatus for processing a word.
Background
With the development and popularization of computers and higher requirements on energy conservation and environmental protection, the reading form of a user is gradually changed from a paper file to an electronic file, generally, the user can check the file through a computer or an intelligent terminal, and can query the text in the file in real time in the process of reading the file, so that the method has a more convenient and faster query mode than the paper file. At present, when text content in an electronic document is queried, a user usually manually selects some keywords as query objects, and a query operation of a terminal device specifically targets the keywords selected by the user, which may be, for example, a phrase, an english word, or a group of numbers.
Obviously, a text selected by a user may have multiple word senses or word properties, and it is difficult for a query operation of a terminal device to obtain an accurate interpretation of the text.
Disclosure of Invention
In order to solve the technical problems, the invention provides a word processing method and a word processing device, which are used for solving the problem that in the text query mode in the prior art, the query result is inaccurate because the terminal equipment queries aiming at the keywords selected by the user.
In a first aspect, the present invention provides a method and an apparatus for word processing, including:
acquiring second text information to be analyzed according to the position of first text information selected by a user in a file, wherein the second text information comprises the first text information and extended text information adjacent to the first text information;
and performing semantic analysis on the first text information in the second text information, and acquiring an analysis result of the first text information.
In a first possible implementation manner of the first aspect, before performing semantic analysis on the first text information in the second text information, the method further includes:
comparing the first text information with the second text information, and performing character type analysis on the first text information;
judging whether the character types of the first text information and the extended text information are the same or not;
when the character types of the first text information and the expanded text information are different, inquiring the explanation of the first text information or prompting a user to perform corresponding operation on the first text information;
and when the character types of the first text information and the extended text information are the same, performing semantic analysis on the first text information in the second text information, and acquiring an analysis result of the first text information.
In a second possible implementation manner of the first aspect, the 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 judging whether the positioning of the first text information selected by the user is accurate or not;
when the first text information selected by the user is judged to be accurately positioned, acquiring an analysis result of the first text information;
and when the first text information selected by the user is judged to be inaccurate in positioning, reselecting the first text information, and acquiring an analysis result of the reselected first text information.
According to a second possible implementation manner of the first aspect, in a third possible implementation manner, the reselected first text information includes: the user selected part of the first text information; or, a part of the first text information and a part of the extended text information selected by the user; or the first text information selected by the user and part of the expanded text information.
According to the first aspect and any one of the first to third possible implementation manners of the first aspect, in a fourth possible implementation manner, after the obtaining the analysis result, the method further includes:
and displaying the analysis result on a Graphical User Interface (GUI) and indicating a user to correspondingly operate the analysis result.
In a second aspect, the present invention provides a word processing apparatus comprising:
the acquisition module is used for acquiring second text information to be analyzed according to the position of first text information selected by a user in a file, wherein the second text information comprises the first text information and extended text information adjacent to the first text information;
and the semantic analysis module is used for performing semantic analysis on the first text information in the second text information acquired by the acquisition module and acquiring an analysis result of the first text information.
In a first possible implementation manner of the second aspect, the word processing apparatus further includes: the character analysis module is used for comparing the first text information with the second text information and carrying out character type analysis on the first text information before the semantic analysis module carries out semantic analysis on the first text information in the second text information;
the judging module is used for judging whether the character types of the first text information and the extended text information are the same or not;
the character analysis module is further configured to query an explanation of the first text information or prompt a user to perform a corresponding operation on the first text information when the judgment module judges that the character types of the first text information and the expanded text information are different;
the semantic analysis module is specifically configured to perform semantic analysis on the first text information in the second text information and obtain an analysis result of the first text information when the judgment module judges that the character types of the first text information and the extended text information are the same.
In a second possible implementation manner of the second aspect, the word processing apparatus further includes: the judging module is used for judging whether the positioning of the first text information selected by the user is accurate or not in the process of performing semantic analysis on the first text information in the second text information by the semantic analysis module;
the semantic analysis module is further configured to obtain an analysis result of the first text information when the judgment module judges that the first text information selected by the user is accurately located;
the semantic analysis module is further configured to reselect the first text information and obtain an analysis result of the reselected first text information when the determination module determines that the first text information selected by the user is inaccurately located.
In a third possible implementation manner, the first text information reselected by the semantic analysis module includes: the user selected part of the first text information; or, a part of the first text information and a part of the extended text information selected by the user; or the first text information selected by the user and part of the expanded text information.
In a fourth possible implementation manner, according to the second aspect or any one of the first to third possible implementation manners of the second aspect, the word processing device further includes: and the display module is used for displaying the analysis result on a Graphical User Interface (GUI) after the semantic analysis module acquires the analysis result and indicating a user to correspondingly operate the analysis result. .
According to the word processing method and device provided by the invention, the first text information selected by the user is combined with the specific position of the first text information in the file to obtain the second text information to be analyzed, wherein the second text information comprises the first text information selected by the user and the expanded text information, so that the semantic analysis is carried out on the first text information in the second text information to obtain an analysis result; the method provided by the invention expands the query of the single text information into specific analysis in the context, can obtain the characteristics of specific explanation, part of speech, components in sentences and the like of the text, and has more comprehensive and accurate analysis results; the method and the device solve the problem that in the prior art, the query result is inaccurate due to the fact that the terminal device queries the keywords selected by the user in the text query mode.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the example serve to explain the principles of the invention and not to limit the invention.
FIG. 1 is a flow chart of a word processing method according to an embodiment of the present invention;
FIG. 2 is a flow chart of another word processing method according to an embodiment of the present invention;
FIG. 3 is a flowchart of another word processing method according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a word processing device according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of another word processing device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be noted that the embodiments and features of the embodiments in the present application may be arbitrarily combined with each other without conflict.
The steps illustrated in the flow charts of the figures may be performed in a computer system such as a set of computer-executable instructions. Also, while a logical order is shown in the flow diagrams, in some cases, the steps shown or described may be performed in an order different than here.
Fig. 1 is a flowchart of a word processing method according to an embodiment of the present invention. The word processing method provided by the embodiment is suitable for the case of text query in an electronic document, and the method can be executed by a word processing apparatus, the word processing apparatus is usually implemented in hardware and software, and can be usually integrated in a processor of a terminal device, for example, a Personal Computer (PC) or an intelligent terminal, etc. As shown in fig. 1, the method of this embodiment may include:
s110, according to the position of the first text information selected by the user in the electronic file, second text information to be analyzed is obtained, wherein the second text information comprises the first text information and extended text information adjacent to the first text information.
The application scenarios of this embodiment are, for example: the method includes that a user reads an electronic file through an intelligent terminal, the electronic file can be in a format of Word, Excel or PDF and the like, and for example, the method can also be applied to processing text information of short messages, instant messages and the like through the intelligent terminal by the user. In the prior art, after a user selects a phrase, the user usually directly specifies a query mode, such as dictionary search, network query encyclopedia knowledge search, and the like.
In the method provided by this embodiment, the first text information selected by the user is not directly queried, but the second text information to be analyzed is obtained according to 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 can be obtained by combining the context content of the first text information, and the content expanded left and right can be the content adjacent to the first text information, in each embodiment of the present invention, the content expanded left and right is defined as the expanded text information; in a specific implementation, for example, punctuation marks appearing in a file are taken as a boundary to perform the standard of adding the extended text information, and left and right texts of the first text information are taken as the extended text information and combined with the first text information to form the second text information to be analyzed.
And S120, performing semantic analysis on the first text information in the second text information, and acquiring an analysis result of the first text information.
In general, a phrase may be a verb or a name in different sentences, a recognition or a derogation in different contexts, and a single appearing phrase, whether in chinese or english, may have multiple interpretations. For example, in the query mode in the prior art, although multiple interpretations of the phrase can be obtained, the meaning of the phrase in the document cannot be accurately judged, if the meaning of the phrase in the document needs to be obtained, the user needs to perform subjective judgment by combining the context, or perform one-step command prompt operation with the intelligent terminal to select a proper interpretation.
In this embodiment, the object of analysis is not limited to the text content selected by the user, and meanwhile, the first text information selected by the user and the semantics of the context need to be combined, and by placing the first text information selected by the user in a specific context for analysis, the analysis result suitable for the context can be obtained, and the analysis result includes, for example: the part of speech, interpretation, and composition of the sentence, such as subject, predicate, or object. Obviously, the method provided by the embodiment can obtain more comprehensive and accurate analysis on the first text information.
In the text processing method provided by this embodiment, a second text message to be analyzed is obtained by combining a first text message selected by a user with the first text message in a specific position in a file, where the second text message includes the first text message selected by the user and an extended text message, so that the first text message is subjected to semantic analysis in the second text message to obtain an analysis result; the method provided by the embodiment expands the query of the individual text information into specific analysis in the context, can obtain the characteristics of specific explanation, part of speech, components in sentences and the like of the text, and has more comprehensive and accurate analysis results; the method and the device solve the problem that in the prior art, the query result is inaccurate due to the fact that the terminal device queries the keywords selected by the user in the text query mode.
Optionally, after obtaining the analysis result, the method provided in this embodiment may further perform intelligent judgment, and further guide the user to perform corresponding operations, that is, the method provided in this embodiment shown in fig. 1 further includes: s130, displaying the analysis result on a Graphical User Interface (GUI) and indicating a User to correspondingly operate 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 navigation operation, if the analysis result is a phone number, the user may be prompted whether to dial the number, if the analysis result is an idiom, the user may be prompted whether to obtain a specific explanation by querying a dictionary, and in addition, the user may be instructed to perform operations such as copying to a clipboard or searching through a search engine.
It should be noted that, in this embodiment, the content of some specific operations performed on the analysis result is taken as an example for description, the present invention is not limited to the operation content interactively executed with the user after the analysis result is obtained, and as long as the prompt operation can be matched with the first text message, the present invention may be applied to various embodiments to improve the intelligence of the method, so as to facilitate the user to use.
Fig. 2 is a flowchart of another word processing method according to an embodiment of the present invention. The present embodiment is further described on the basis of the embodiment shown in fig. 1, and the method provided by the present embodiment may include, before S120:
and S111, comparing the first text information with the second text information, and performing character type analysis on the first text information.
S112, judging whether the character types of the first text information and the extended text information are the same; if not, S113 is executed, and if the same, S120 is executed.
Specifically, when the character type of the first text information is different from that of the extended text information, S113 is executed to query the explanation of the first text information or prompt the user to perform corresponding operation on the first text information.
And when the character types of the first text information and the extended text information are the same, executing S120, performing semantic analysis on the first text information in the second text information, and obtaining an analysis result of the first text information.
In this embodiment, before analyzing the first text information, analyzing the character type is performed, for example, if the selected first text information is extended text information different from the context in language and character type, for example, the selected first text information is an english word, and the extended text information is a chinese language, the dictionary database may be directly queried to give a chinese explanation of the first text information, or the user may be guided to select a dictionary or a web page search to obtain the chinese explanation of the first text information; and if the selected first text information is a number, further judging whether the context expanded text information is a telephone number, a currency number and other characteristic numbers, so that the subsequent intelligent terminal prompts the user to execute corresponding operation.
According to the method provided by the embodiment, before semantic analysis is performed, character type analysis is introduced, because the character types are more visual, the content and workload of executing judgment are less, after the judgment rule is compounded, a proper explanation can be directly given, or a user is guided to execute corresponding operation, so that the workload when text query is executed by the method provided by the embodiment is further reduced, and the convenience of the text processing method is improved.
Further, when the user selects the first text information to be queried in the file, the user selects on the intelligent terminal with the touch screen as an example, the user clicks the screen to select the first text information, due to the problems of the sensing system of the touch screen or inaccurate touch of the user, the first text information recognized by the intelligent terminal is not the text that the user wants to select, that is, the problem of inaccurate word selection positioning may be caused, so that it is difficult to query the interpretation of the text desired by the user in the prior art, or the user needs to re-perform the selection operation to obtain the text of the desired query, performing a query operation in a text requires the user to perform a complex selection process, and the accuracy of the touch selection operation is not only a matter of the user's subjective selection, but also a matter of recognition of the touch sensing.
In view of the above problem, the present embodiment provides a solution, as shown in fig. 3, which is a flowchart of another word processing method provided in the embodiment of the present invention. Also taking the embodiment shown in fig. 1 as an example, S120 in this embodiment may include: s121, performing semantic analysis on the first text information in the second text information; s122, judging whether the positioning of the first text information selected by the user is accurate or not; if so, then S123 is performed, and if not, then S124 is performed.
And S123, acquiring an analysis result of the first text information.
S124, reselecting the first text message, and acquiring an analysis result of the reselected first text message.
In this embodiment, the first text information is placed in the context of the first text information for analysis in a similar manner to the above-mentioned embodiment, components of the first text information may be analyzed, such as subject, predicate, object, fixed language, object or complement, or parts of speech thereof, such as verb, noun or adjective, during the analysis, it may be determined whether the first text information is accurately located by combining with the augmented text information, that is, whether the selected text is the text that the user wishes to select, if it is determined that the selected first text information is obviously not a complete phrase or includes redundant conjunctions or articles, the first text information may be reselected, and specifically, the first text information may be broken or supplemented with context content, for example, the text that the user wishes to select is a four-character phrase, however, since only the first three words are selected by the clicking operation, the first text information may be supplemented as a complete idiom when S124 is performed. Therefore, when the user selects the text, no matter the first character or the last character is selected, the text which the user wants to select can be correctly identified, and the correct text which the user wants to select can be intelligently modified according to the predefined rule; the re-selected first text information obtained according to the predefined rule includes, for example: a portion of the first text information selected by the user; or, part of the first text information and part of the expanded text information selected by the user; or the first text information selected by the user and part of the expanded text information.
The method provided by the embodiment can intelligently judge the text which is interested by the user to perform analysis processing, and intelligently perform guide interaction, thereby further simplifying user operation and improving user experience.
It should be noted that, in the embodiment shown in fig. 3, no matter S123 or S124 is executed, an analysis result of a text that needs to be selected by the user may be obtained, so after S123 or S124, S130 may be executed, and a specific manner of executing S130 is the same as that in the embodiment shown in fig. 1, and therefore, details are not described here again.
Fig. 4 is a schematic structural diagram of a word processing device according to an embodiment of the present invention. The word processing apparatus provided in this embodiment is suitable for use in a case of performing text query in an electronic document, and the word processing apparatus is usually implemented in a hardware and software manner, and may be usually integrated in a processor of a terminal device, such as a PC or a smart terminal. As shown in fig. 4, the word processing apparatus of the present embodiment specifically includes: an acquisition 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 in the file selected by the user, where the second text information includes the first text information and extended text information adjacent to the first text information.
And the semantic analysis module 12 is configured to perform semantic analysis on the first text information in the second text information acquired by the acquisition module 11, and acquire an analysis result of the first text information.
Optionally, the apparatus provided in this embodiment further includes: and the display module 13 is configured to display the analysis result on the GUI after the semantic analysis module 12 obtains the analysis result, and instruct the user to perform corresponding operation on the analysis result.
The word processing apparatus provided in the embodiment of the present invention is used for executing the word processing method provided in the embodiment of fig. 1 of the present invention, and has corresponding functional modules, which implement similar principles and technical effects, and are not described herein again.
Fig. 5 is a schematic structural diagram of another word processing device according to an embodiment of the present invention. In this embodiment, the device provided in this embodiment further includes: the character analysis module 14 is used for comparing the first text information with the second text information before the semantic analysis module 12 performs semantic analysis on the first text information in the second text information, and performing character type analysis on the first text information; and the judging module 15 is used for judging whether the character types of the first text information and the extended text information are the same.
Correspondingly, the character analysis module 14 is further configured to query the explanation of the first text information or prompt the user to perform a corresponding operation on the first text information when the judgment module 15 judges that the character types of the first text information and the expanded text information are different; the semantic analysis module 12 is specifically configured to perform semantic analysis on the first text information in the second text information and obtain an analysis result of the first text information when the judgment module 15 judges that the character types of the first text information and the extended text information are the same.
Further, in a specific implementation of the word processing apparatus shown in fig. 5, the determining module 15 is further configured to determine whether the location of the first text information selected by the user is accurate in the process of performing semantic analysis on the first text information in the second text information by the semantic analyzing module 12. Correspondingly, the semantic analysis module 12 is further configured to obtain an analysis result of the first text information when the determination result of the determination module 15 is accurate; in addition, the semantic analysis module 12 is further configured to reselect the first text information and obtain an analysis result of the reselected first text information when the determination result of the determination module 15 is inaccurate.
It should be noted that, for example, the first text information reselected by the semantic module 12 in this embodiment includes: a portion of the first text information selected by the user; or, part of the first text information and part of the expanded text information selected by the user; or the first text information and the partial expanded text information selected by the user.
The word processing device provided by the embodiment of the present invention is used for executing the word processing method provided by the embodiment of the present invention shown in fig. 2 and fig. 3, and has corresponding functional modules, which implement similar principles and technical effects, and are not described herein again.
Although the embodiments of the present invention have been described above, the above description is only for the convenience of understanding the present invention, and is not intended to limit the present invention. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (8)
1. A method of word processing, comprising:
when a user inquires a text in an electronic file, according to the position of first text information selected by the user in the electronic file, acquiring second text information comprising the first text information and extended text information adjacent to the first text information from the electronic file;
comparing the first text information with the second text information, and performing character type analysis on the first text information;
judging whether the character types of the first text information and the extended text information are the same or not;
when the character types of the first text information and the expanded text information are different, inquiring the explanation of the first text information or prompting a user to perform corresponding operation on the first text information;
and when the character types of the first text information and the expanded text information are the same, performing semantic analysis on the first text information in the context of the second text information acquired from the electronic file to acquire an analysis result of the first text information, wherein the analysis result is suitable for the context.
2. The word processing method of claim 1, wherein said semantically analyzing the first text information in the context of the second text information obtained from the electronic document comprises:
performing semantic analysis on the first text information in the second text information, and judging whether the positioning of the first text information selected by the user is accurate or not;
when the first text information selected by the user is judged to be accurately positioned, acquiring an analysis result of the first text information;
and when the first text information selected by the user is judged to be inaccurate in positioning, reselecting the first text information, and acquiring an analysis result of the reselected first text information.
3. The word processing method of claim 2, wherein the reselected first text message comprises: the user selected part of the first text information; or, a part of the first text information and a part of the extended text information selected by the user; or the first text information selected by the user and part of the expanded text information.
4. The word processing method according to any one of claims 1 to 3, further comprising, after obtaining the analysis result:
and displaying the analysis result on a Graphical User Interface (GUI) and indicating a user to correspondingly operate the analysis result.
5. A word processing device, comprising:
the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring second text information comprising first text information and extended text information adjacent to the first text information from an electronic file according to the position of the first text information selected by a user in the electronic file when the user inquires the text in the electronic file;
the character analysis module is used for comparing the first text information with the second text information and carrying out character type analysis on the first text information;
the judging module is used for judging whether the character types of the first text information and the extended text information are the same or not;
the semantic analysis module is used for performing semantic analysis on the first text information in the context of the second text information acquired from the electronic file by the acquisition module when the judgment module judges that the character types of the first text information and the expanded text information are the same, and acquiring an analysis result of the first text information, which is suitable for the context;
the character analysis module is further configured to query an explanation of the first text information or prompt a user to perform a corresponding operation on the first text information when the judgment module judges that the character types of the first text information and the expanded text information are different.
6. The word processing device of claim 5,
the judgment module is further configured to judge whether the positioning of the first text information selected by the user is accurate in the process that the semantic analysis module performs semantic analysis on the first text information in the context of the second text information acquired from the electronic file;
the semantic analysis module is further configured to obtain an analysis result of the first text information when the judgment module judges that the first text information selected by the user is accurately located;
the semantic analysis module is further configured to reselect the first text information and obtain an analysis result of the reselected first text information when the determination module determines that the first text information selected by the user is inaccurately located.
7. The word processing device of claim 6, wherein the first text information re-selected by the semantic module comprises: the user selected part of the first text information; or, a part of the first text information and a part of the extended text information selected by the user; or the first text information selected by the user and part of the expanded text information.
8. The word processing device according to any one of claims 5 to 7, further comprising: and the display module is used for displaying the analysis result on a Graphical User Interface (GUI) after the semantic analysis module acquires the analysis result and indicating a user to correspondingly operate the analysis result.
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