CN109712613B - Semantic analysis library updating method, device and electronic device - Google Patents

Semantic analysis library updating method, device and electronic device Download PDF

Info

Publication number
CN109712613B
CN109712613B CN201811616453.1A CN201811616453A CN109712613B CN 109712613 B CN109712613 B CN 109712613B CN 201811616453 A CN201811616453 A CN 201811616453A CN 109712613 B CN109712613 B CN 109712613B
Authority
CN
China
Prior art keywords
text information
semantic analysis
information
analysis library
user
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201811616453.1A
Other languages
Chinese (zh)
Other versions
CN109712613A (en
Inventor
许晓星
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Qianding Intelligent Technology Co ltd
Original Assignee
Beijing Baiyou Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Baiyou Technology Co ltd filed Critical Beijing Baiyou Technology Co ltd
Priority to CN201811616453.1A priority Critical patent/CN109712613B/en
Publication of CN109712613A publication Critical patent/CN109712613A/en
Application granted granted Critical
Publication of CN109712613B publication Critical patent/CN109712613B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Machine Translation (AREA)

Abstract

The invention provides a semantic analysis library updating method, a semantic analysis library updating device and electronic equipment, which relate to the technical field of voice recognition and comprise the steps of obtaining audio information to be analyzed and starting a matching process of the audio information; generating character information according to the audio information, and judging whether vocabularies matched with the character information exist in the semantic analysis library or not; if the word information does not exist, acquiring a plurality of recommended word information matched with the word information in a service word bank; and acquiring target character information selected by the user from the plurality of recommended character information, writing the target character information into the semantic analysis library to achieve the aim of updating the semantic analysis library, providing more choices for the user by acquiring the plurality of recommended character information, and avoiding the complicated operation of repeatedly modifying input by the user.

Description

Semantic analysis library updating method and device and electronic equipment
Technical Field
The invention relates to the technical field of voice recognition, in particular to a semantic analysis library updating method and device and electronic equipment.
Background
After the current voice recognition technology recognizes a single sentence, the recognition result can be automatically modified according to the whole sentence semantics, and the accuracy of voice recognition is improved. However, because the difference of vocabularies in different industries is large, the common general word lexicon is easy to cause inaccurate character conversion when identifying words used in the characteristic industry, so that the complicated operation of repeatedly recording and modifying characters occurs to users.
Disclosure of Invention
In view of the above, the present invention provides a semantic analysis library updating method, an apparatus and an electronic device, so as to solve the technical problem in the prior art that when a general universal word library recognizes words in a feature industry, inaccurate character conversion is likely to occur, which causes a user to repeatedly record and modify the characters in a tedious operation technique.
In a first aspect, an embodiment of the present invention provides a method for updating a semantic analysis library, where the method includes the following steps:
acquiring audio information to be analyzed, and starting a matching process of the audio information;
generating character information according to the audio information, and judging whether vocabularies matched with the character information exist in the semantic analysis library or not;
if the word information does not exist, acquiring a plurality of recommended word information matched with the word information in a service word bank;
and acquiring target character information selected by the user from the plurality of recommended character information, and writing the target character information into a semantic analysis library.
With reference to the first aspect, an embodiment of the present invention provides a first possible implementation manner of the first aspect, where the obtaining, in a service thesaurus, a plurality of pieces of recommended text information matched with the text information includes:
determining the matching degree of each vocabulary in the service word stock and the character information;
and acquiring a plurality of pieces of recommended word information from each vocabulary in the service word stock according to the matching degree.
With reference to the first aspect, an embodiment of the present invention provides a second possible implementation manner of the first aspect, where after target text information selected by a user from the plurality of pieces of recommended text information is obtained, the method further includes:
and increasing a preset increment for the matching degree of the target character information and the character information in the service word stock.
With reference to the first aspect, an embodiment of the present invention provides a third possible implementation manner of the first aspect, where the third possible implementation manner further includes:
and if the target text information selected by the user from the plurality of recommended text information is not acquired, acquiring the local operation record of the user.
With reference to the first aspect, an embodiment of the present invention provides a fourth possible implementation manner of the first aspect, where the step of obtaining a local operation record of a user includes:
and if the matching process of the audio information is determined to be restarted according to the local operation record of the user, acquiring a plurality of pieces of recommended character information again from each vocabulary in the service word bank according to the matching degree of each vocabulary in the service word bank and the character information.
With reference to the first aspect, an embodiment of the present invention provides a fifth possible implementation manner of the first aspect, where after determining whether there is a vocabulary matching the text information in the semantic analysis library, the method further includes:
and if so, outputting the vocabulary matched with the text information.
With reference to the first aspect, an embodiment of the present invention provides a sixth possible implementation manner of the first aspect, where the generating text information according to the audio information includes:
and calling a voice recognition tool to generate the generated text information from the audio information.
In a second aspect, an embodiment of the present invention further provides a semantic analysis library updating apparatus, including:
the starting module is used for acquiring audio information to be analyzed and starting a matching process of the audio information;
the generating module is used for generating character information according to the audio information;
the judgment module is used for generating character information according to the audio information and judging whether vocabularies matched with the character information exist in the semantic analysis library or not;
the acquisition module is used for acquiring a plurality of pieces of recommended word information matched with the word information from a service word stock if the acquisition module does not exist;
and the writing module is used for acquiring target character information selected by a user from the plurality of recommended character information and writing the target character information into a semantic analysis library.
In a third aspect, an embodiment of the present invention further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the above steps when executing the computer program.
In a fourth aspect, the present invention also provides a computer readable medium having a non-volatile program code executable by a processor, where the program code causes the processor to execute the above method.
In the embodiment of the invention, the matching process of the audio information is started by acquiring the audio information to be analyzed; generating character information according to the audio information, and judging whether vocabularies matched with the character information exist in the semantic analysis library or not; if the word information does not exist, acquiring a plurality of recommended word information matched with the word information in a service word bank; and acquiring target character information selected by the user from the plurality of recommended character information, writing the target character information into the semantic analysis library to achieve the aim of updating the semantic analysis library, providing more choices for the user by acquiring the plurality of recommended character information, and avoiding the complicated operation of repeatedly modifying input by the user.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a semantic analysis library updating method according to an embodiment of the present invention;
fig. 2 is a flowchart of step S103 according to an embodiment of the present invention;
FIG. 3 is a flow chart of another semantic analysis library updating method according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a semantic analysis library updating apparatus according to an embodiment of the present invention.
Icon:
01-a start module; 02-generating module; 03-a judgment module; 04-an obtaining module; 05-write module.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In accordance with an embodiment of the present invention, there is provided an embodiment of a semantic analysis library update method, it should be noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than that presented herein.
Fig. 1 is a flowchart of a semantic analysis library updating method according to an embodiment of the present invention, as shown in fig. 1, the method includes the following steps:
step S101, obtaining audio information to be analyzed, and starting a matching process of the audio information;
in the embodiment of the present invention, acquiring voice input of a user by using a recording device such as a microphone to obtain audio information, wherein the generating text information according to the audio information includes: and calling a voice recognition tool to generate the generated text information from the audio information, wherein the specific voice recognition tool can be determined according to actual conditions, and the invention is not limited to this.
Step S102, generating character information according to the audio information, and judging whether vocabularies matched with the character information exist in the semantic analysis library or not;
in the embodiment of the invention, the word information is generated according to the audio information, and the vocabulary matched with the word information is searched in the semantic analysis library, wherein the semantic analysis library is a general vocabulary library in the embodiment of the invention, so that the selection cannot be provided for a user when special vocabulary in a remote field appears.
Step S103, if the word information does not exist, acquiring a plurality of recommended word information matched with the word information from a service word bank;
in the implementation of the present invention, words and phrases matched with the text information are searched in the semantic analysis library, if there is no word and phrase matched with the text information in the semantic analysis library, a plurality of recommended text information matched with the text information is obtained in a business word library, and multiple choices are provided for a user, so that a tedious operation of repeatedly modifying and inputting the user is avoided, and the office efficiency is accelerated, and a specific providing manner and a provided matching degree selection may be determined according to an actual situation, and with respect to step S103, the present invention further provides an implementation manner, as shown in fig. 2, the obtaining of the plurality of recommended text information matched with the text information in the business word library includes:
step S201, determining the matching degree of each vocabulary in the service word stock and the character information;
in the embodiment of the present invention, the text information generated according to the audio information input by the user is obtained, and the matching degree between each vocabulary in the service vocabulary bank and the text information is determined according to the text coincidence degree between the vocabulary in the service vocabulary bank and the text information, where the matching degree may be a numerical value or a percentage of the coincidence of the words, and the present invention is not limited to this.
And step S202, acquiring a plurality of pieces of recommended word information from each vocabulary in the service word stock according to the matching degree.
In the embodiment of the present invention, a plurality of pieces of recommended text information may be manually set and displayed according to the descending order of the matching degree values, for example: the method comprises the steps that 5 pieces of recommended word information are manually set and displayed on a page for a user to select, and then 5 pieces of words with the highest matching degree are sequentially selected as the recommended word information for the user to select.
And step S104, acquiring target character information selected by the user from the plurality of recommended character information, and writing the target character information into a semantic analysis library.
In the embodiment of the present invention, it can be known from the above embodiments that, after providing a plurality of pieces of recommended text information for the user to select, the user selects a desired target text information to output, at this time,
after the target text information selected by the user from the plurality of recommended text information is obtained, the method further comprises the following steps: adding a preset increment to the matching degree of the target character information and the character information in the service word stock, feeding back the target character information to a service test library after a user selects the target character information, and adding a preset increment to the matching degree of the target character information and the character information in the service word stock, wherein the aim is to increase the preset increment to the matching degree of the target character information and the character information in the service word stock when the service word stock is used for big data sharing, such as: when the other user selects the same audio information, the semantic analysis library does not have the matched text information, when the business lexicon searches for a plurality of recommended text information which is matched with the text information, the priority of the selected target text information is improved due to the reason that the matching degree is increased, even if the amount of the recommended text information displayed on a window set by the user is small, the recommended text information which is closest to the text required by the user can be displayed at the top position when the probability statistics of a plurality of users is carried out, a multi-choice scheme is provided for the currently used user, the updating of the business lexicon can be optimized all the time, and the user experience is optimized.
In another embodiment of the present invention, as shown in fig. 3, the semantic analysis library updating method further includes:
and step S105, if the target text information selected by the user from the plurality of pieces of recommended text information is not obtained, obtaining the local operation record of the user.
In the embodiment of the invention, the local operation record of the user is the operation record of the terminal used by the user, which aims to read the operation of the user, and if the user locks the screen or does not select the screen, the matching process of the audio information does not need to be restarted; and if the user does not select the recommended characters and performs voice input again, the recommended characters do not have the characters required by the user.
In another embodiment of the present invention, the step of obtaining the local operation record of the user includes:
and if the matching process of the audio information is determined to be restarted according to the local operation record of the user, acquiring a plurality of pieces of recommended character information again from each vocabulary in the service word bank according to the matching degree of each vocabulary in the service word bank and the character information. In the embodiment of the present invention, when the matching process of the audio information needs to be restarted, the step of matching the words in the service word library with the text information is directly skipped without searching again in the semantic analysis library, and specifically, a process of selecting a plurality of pieces of recommended text information according to the matching degree in the above embodiment may be referred to, but the first group of recommended text information is not listed again in the recommendation list, for example: and manually recommending 5 pieces of recommended text information each time, and pushing the next 5 pieces of recommended text information with high matching degree after restarting an audio information matching process under the condition that the first selection is not successful, so that more choices are provided for the client.
The implementation principle and the generated technical effect of the semantic analysis library updating device provided by the embodiment of the present invention are the same as those of the foregoing method embodiment, and for brief description, no mention is made in the device embodiment, and reference may be made to the corresponding contents in the foregoing method embodiment, as shown in fig. 4, the semantic analysis library updating device includes:
the system comprises a starting module 01, a matching module and a processing module, wherein the starting module 01 is used for acquiring audio information to be analyzed and starting a matching process of the audio information;
the generating module 02 is used for generating text information according to the audio information;
the judging module 03 is used for generating character information according to the audio information and judging whether vocabularies matched with the character information exist in the semantic analysis library or not;
an obtaining module 04, if not, the obtaining module 04 is configured to obtain a plurality of pieces of recommended text information matched with the text information in a service thesaurus;
and the writing module 05 is used for acquiring target character information selected by a user from the plurality of recommended character information and writing the target character information into a semantic analysis library.
In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions. It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the apparatus described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In addition, in the description of the embodiments of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (8)

1.一种语义分析库更新方法,其特征在于,所述方法包括如下步骤:1. a semantic analysis library update method, is characterized in that, described method comprises the steps: 获取待分析的音频信息,启动所述音频信息的匹配流程;Obtain the audio information to be analyzed, and start the matching process of the audio information; 根据所述音频信息生成文字信息,并判断所述语义分析库中是否存在与所述文字信息匹配的词汇;其中,所述语义分析库为通用词库;Generate text information according to the audio information, and determine whether there is a vocabulary matching the text information in the semantic analysis library; wherein, the semantic analysis library is a general thesaurus; 如果不存在,在业务词库中获取与所述文字信息匹配的若干推荐文字信息;其中,所述业务词库是根据特定领域设置的;If it does not exist, obtain several recommended text information matching the text information in a business thesaurus; wherein, the business thesaurus is set according to a specific field; 获取用户从所述若干推荐文字信息中选择的目标文字信息,将所述目标文字信息写入至语义分析库中;Obtaining the target text information selected by the user from the several recommended text information, and writing the target text information into the semantic analysis library; 所述方法还包括:如果未获取到用户从所述若干推荐文字信息中选择的目标文字信息,则获取用户的本地操作记录;The method further includes: if the target text information selected by the user from the several recommended text information is not obtained, obtaining the local operation record of the user; 获取用户的本地操作记录的步骤,包括:若根据所述用户的本地操作记录确定重新启动所述音频信息的匹配流程,则根据所述业务词库中各个词汇与所述文字信息的匹配度,从所述业务词库中各个词汇再次获取若干推荐文字信息。The step of acquiring the user's local operation record includes: if it is determined to restart the matching process of the audio information according to the user's local operation record, then according to the matching degree of each vocabulary in the business vocabulary and the text information, Several pieces of recommended text information are obtained again from each word in the business word database. 2.根据权利要求1所述的语义分析库更新方法,其特征在于,所述在业务词库中获取与所述文字信息匹配的若干推荐文字信息包括:2. The method for updating a semantic analysis library according to claim 1, wherein the acquiring some recommended text information matching the text information in the business thesaurus comprises: 确定所述业务词库中各个词汇与所述文字信息的匹配度;determining the degree of matching between each word in the business thesaurus and the text information; 根据所述匹配度,从所述业务词库中各个词汇获取若干推荐文字信息。According to the matching degree, several pieces of recommended text information are obtained from each vocabulary in the business vocabulary. 3.根据权利要求2所述的语义分析库更新方法,其特征在于,获取用户从所述若干推荐文字信息中选择的目标文字信息之后,还包括:3. The method for updating a semantic analysis library according to claim 2, wherein after acquiring the target text information selected by the user from the several recommended text information, the method further comprises: 将在所述业务词库中所述目标文字信息与所述文字信息的匹配度增加预设增量。A preset increment is added to the matching degree between the target text information and the text information in the business thesaurus. 4.根据权利要求1所述的语义分析库更新方法,其特征在于,判断所述语义分析库中是否存在与所述文字信息匹配的词汇之后,还包括:4. The method for updating a semantic analysis library according to claim 1, wherein after judging whether there is a vocabulary matching the text information in the semantic analysis library, the method further comprises: 如果存在,则输出与所述文字信息匹配的词汇。If it exists, output the vocabulary matching the text information. 5.根据权利要求1所述的语义分析库更新方法,其特征在于,所述根据所述音频信息生成文字信息包括:5. The semantic analysis library updating method according to claim 1, wherein the generating text information according to the audio information comprises: 调用语音识别工具,将所述音频信息生成所述生成文字信息。The speech recognition tool is invoked to generate the generated text information from the audio information. 6.一种语义分析库更新装置,其特征在于,包括:6. A semantic analysis library updating device, characterized in that, comprising: 启动模块,所述启动模块用于获取待分析的音频信息,启动所述音频信息的匹配流程;a startup module, which is used to obtain the audio information to be analyzed, and start the matching process of the audio information; 生成模块,所述生成模块用于根据所述音频信息生成文字信息;a generation module, the generation module is used to generate text information according to the audio information; 判断模块,所述判断模块用于根据所述音频信息生成文字信息,并判断所述语义分析库中是否存在与所述文字信息匹配的词汇;其中,所述语义分析库为通用词库;a judgment module, which is used to generate text information according to the audio information, and judge whether there is a vocabulary matching the text information in the semantic analysis library; wherein, the semantic analysis library is a general thesaurus; 获取模块,如果不存在,所述获取模块用于在业务词库中获取与所述文字信息匹配的若干推荐文字信息;其中,所述业务词库是根据特定领域设置的;an acquisition module, if it does not exist, the acquisition module is used to acquire several recommended text information matching the text information in a business thesaurus; wherein, the business thesaurus is set according to a specific field; 写入模块,所述写入模块用于获取用户从所述若干推荐文字信息中选择的目标文字信息,将所述目标文字信息写入至语义分析库中;a writing module, the writing module is used to obtain the target text information selected by the user from the several recommended text information, and write the target text information into the semantic analysis library; 所述装置还包括本地操作记录获取模块,用于如果未获取到用户从所述若干推荐文字信息中选择的目标文字信息,则获取用户的本地操作记录;The device further includes a local operation record acquisition module, configured to acquire the user's local operation record if the target text information selected by the user from the several recommended text information is not acquired; 所述本地操作记录获取模块进一步还用于若根据所述用户的本地操作记录确定重新启动所述音频信息的匹配流程,则根据所述业务词库中各个词汇与所述文字信息的匹配度,从所述业务词库中各个词汇再次获取若干推荐文字信息。The local operation record acquisition module is further configured to restart the matching process of the audio information according to the local operation record of the user, and then according to the matching degree of each vocabulary in the business thesaurus and the text information, Several pieces of recommended text information are obtained again from each word in the business word database. 7.一种电子设备,包括存储器、处理器及存储在所述存储器上并可在所述处理器上运行的计算机程序,其特征在于,所述处理器执行所述计算机程序时实现上述权利要求1至5任一项方法的步骤。7. An electronic device comprising a memory, a processor and a computer program stored on the memory and running on the processor, wherein the processor implements the above claims when executing the computer program The steps of any one of 1 to 5. 8.一种具有处理器可执行的非易失的程序代码的计算机可读介质,其特征在于,所述程序代码使所述处理器执行所述权利要求1-5任一所述方法。8. A computer-readable medium having non-volatile program code executable by a processor, wherein the program code causes the processor to perform the method of any one of claims 1-5.
CN201811616453.1A 2018-12-27 2018-12-27 Semantic analysis library updating method, device and electronic device Active CN109712613B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811616453.1A CN109712613B (en) 2018-12-27 2018-12-27 Semantic analysis library updating method, device and electronic device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811616453.1A CN109712613B (en) 2018-12-27 2018-12-27 Semantic analysis library updating method, device and electronic device

Publications (2)

Publication Number Publication Date
CN109712613A CN109712613A (en) 2019-05-03
CN109712613B true CN109712613B (en) 2021-04-20

Family

ID=66257972

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811616453.1A Active CN109712613B (en) 2018-12-27 2018-12-27 Semantic analysis library updating method, device and electronic device

Country Status (1)

Country Link
CN (1) CN109712613B (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112016329B (en) * 2019-05-13 2025-02-14 阿里巴巴集团控股有限公司 Data processing method and device
CN112215010B (en) * 2019-07-10 2024-10-22 北京猎户星空科技有限公司 Semantic recognition method and device
CN110532356A (en) * 2019-08-30 2019-12-03 联想(北京)有限公司 Information processing method, device and storage medium
CN113987130B (en) * 2021-11-10 2025-02-07 上海洛轲智能科技有限公司 Voice command recommendation method, device and electronic device

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101292214A (en) * 2005-10-22 2008-10-22 国际商业机器公司 Improved text input in a shorthand-on-keyboard interface
CN103474063A (en) * 2013-08-06 2013-12-25 福建华映显示科技有限公司 Voice recognition system and method
CN103531197A (en) * 2013-10-11 2014-01-22 安徽科大讯飞信息科技股份有限公司 Command word recognition self-adaptive optimization method for carrying out feedback on user speech recognition result
CN108075892A (en) * 2016-11-09 2018-05-25 阿里巴巴集团控股有限公司 The method, apparatus and equipment of a kind of speech processes

Family Cites Families (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101576901B (en) * 2009-06-11 2011-07-06 腾讯科技(深圳)有限公司 Method for generating search request and mobile communication equipment
CN101995963B (en) * 2010-11-19 2012-07-04 哈尔滨工业大学 Vocabulary self-adaption Chinese input method
AU2011350109A1 (en) * 2010-12-30 2013-07-18 Primal Fusion Inc. System and method for using a knowledge representation to provide information based on environmental inputs
CN103886043B (en) * 2014-03-11 2017-10-20 北京搜狗科技发展有限公司 A kind of method and device for showing candidate item
CN103942190B (en) * 2014-04-16 2017-08-25 科大讯飞股份有限公司 Phonetic synthesis Chinese version segmenting method and system
CN104572978B (en) * 2014-12-31 2018-07-13 国家电网公司 Electric power scheduling automatization system user behavior statistical method based on daily record
RU2584457C1 (en) * 2015-02-03 2016-05-20 Общество с ограниченной ответственностью "Аби ИнфоПоиск" System and method of creating and using user semantic dictionaries for processing user text in natural language
CN105824930A (en) * 2016-03-17 2016-08-03 深圳市金立通信设备有限公司 Voice message processing method and terminal
US10628522B2 (en) * 2016-06-27 2020-04-21 International Business Machines Corporation Creating rules and dictionaries in a cyclical pattern matching process
CN107066497A (en) * 2016-12-29 2017-08-18 努比亚技术有限公司 A kind of searching method and device
US10255268B2 (en) * 2017-01-30 2019-04-09 International Business Machines Corporation Text prediction using multiple devices
CN107180084B (en) * 2017-05-05 2020-04-21 上海木木聚枞机器人科技有限公司 Word bank updating method and device
CN107832035B (en) * 2017-11-13 2021-03-12 深圳市矽昊智能科技有限公司 Voice input method of intelligent terminal

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101292214A (en) * 2005-10-22 2008-10-22 国际商业机器公司 Improved text input in a shorthand-on-keyboard interface
CN103474063A (en) * 2013-08-06 2013-12-25 福建华映显示科技有限公司 Voice recognition system and method
CN103531197A (en) * 2013-10-11 2014-01-22 安徽科大讯飞信息科技股份有限公司 Command word recognition self-adaptive optimization method for carrying out feedback on user speech recognition result
CN108075892A (en) * 2016-11-09 2018-05-25 阿里巴巴集团控股有限公司 The method, apparatus and equipment of a kind of speech processes

Also Published As

Publication number Publication date
CN109712613A (en) 2019-05-03

Similar Documents

Publication Publication Date Title
US10230668B2 (en) Information replying method and apparatus
CN109712613B (en) Semantic analysis library updating method, device and electronic device
US10192545B2 (en) Language modeling based on spoken and unspeakable corpuses
US10803241B2 (en) System and method for text normalization in noisy channels
US7912700B2 (en) Context based word prediction
US20200372088A1 (en) Recommending web api's and associated endpoints
CN109657137B (en) Public opinion news classification model construction method, device, computer equipment and storage medium
US20120330662A1 (en) Input supporting system, method and program
US8731930B2 (en) Contextual voice query dilation to improve spoken web searching
JP2015179497A (en) Input method and system
WO2020155740A1 (en) Information query method and apparatus, and computer device and storage medium
WO2023024975A1 (en) Text processing method and apparatus, and electronic device
US10242033B2 (en) Extrapolative search techniques
US9747891B1 (en) Name pronunciation recommendation
JP5901694B2 (en) Dictionary database management device, API server, dictionary database management method, and dictionary database management program
CN110795617A (en) A kind of error correction method of search word and related device
KR101440887B1 (en) Method and apparatus of recognizing business card using image and voice information
CN111104369A (en) Retrieval database construction method and device
CN113826102A (en) Communication server device, communication equipment and operation method thereof
CN114003685B (en) Word segmentation position index construction method and device, and document retrieval method and device
WO2016136208A1 (en) Voice interaction device, voice interaction system, control method of voice interaction device
JP2021086362A (en) Information processing device, information processing method, and program
CN114586021A (en) Information output device, information output method, and information output program
US20250190476A1 (en) Tagging telecommunication interactions
CN119960938B (en) Interface calling method, device, computer equipment and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right

Effective date of registration: 20250813

Address after: 102300 Beijing City Mentougou District Shilong Economic Development Zone Yong'an Road No. 20, Building 3, Room 302

Patentee after: Beijing QianDing Intelligent Technology Co.,Ltd.

Country or region after: China

Address before: Room A-2576, Building No. 3, 20 Yongan Road, Shilong Economic Development Zone, Mentougou District, Beijing 102300

Patentee before: BEIJING BAIYOU TECHNOLOGY CO.,LTD.

Country or region before: China

TR01 Transfer of patent right