CN112035408B - Text processing method, device, electronic equipment and storage medium - Google Patents

Text processing method, device, electronic equipment and storage medium Download PDF

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CN112035408B
CN112035408B CN202010907287.1A CN202010907287A CN112035408B CN 112035408 B CN112035408 B CN 112035408B CN 202010907287 A CN202010907287 A CN 202010907287A CN 112035408 B CN112035408 B CN 112035408B
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sentence
content
tag
format
processed
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CN112035408A (en
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钱开源
郭云辉
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Wensihai Huizhike Technology Co ltd
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Wensihai Huizhike Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10File systems; File servers
    • G06F16/11File system administration, e.g. details of archiving or snapshots
    • G06F16/116Details of conversion of file system types or formats
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/20Natural language analysis
    • G06F40/205Parsing
    • G06F40/211Syntactic parsing, e.g. based on context-free grammar [CFG] or unification grammars
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/40Processing or translation of natural language
    • G06F40/42Data-driven translation
    • G06F40/47Machine-assisted translation, e.g. using translation memory

Abstract

The application provides a text processing method, a text processing device, electronic equipment and a storage medium, which are used for improving the problem that the text format of an original text is difficult to preserve. The method comprises the following steps: obtaining a sentence segment to be processed, wherein the sentence segment to be processed comprises text content and a format control label; breaking sentences of the sentence to be processed according to a preset rule to obtain sentence content and inter-sentence content, wherein the sentence content comprises text content and the inter-sentence content comprises a format control label; acquiring format control attributes corresponding to each sentence segment content from the inter-sentence content; generating a container label pair corresponding to each sentence segment content according to the format control attribute; adding the content of each sentence segment into the middle of the corresponding container label pair to obtain a word string to be displayed; and analyzing and displaying the character string to be displayed.

Description

Text processing method, device, electronic equipment and storage medium
Technical Field
The present application relates to the technical field of computer data processing and text processing, and in particular, to a text processing method, apparatus, electronic device, and storage medium.
Background
A format tag pair refers to a tag pair used for controlling text format in a markup language, where the markup language includes: extensible markup language (eXtensible Markup Language, XML), hypertext markup language (Hyper Text Markup Language, HTML), etc., where tag matching pairs include: a start tag and an end tag; wherein the start tag and the end tag are matched to each other.
In the current text translation workflow, in order to ensure that a translator can concentrate on text translation of an original text, a label and a label matching pair in a translation sentence segment need to be replaced, and in the process of replacing a translation auxiliary system, the format label pair and format attribute in the original text are difficult to acquire, so that the text format of a sentence segment to be processed in the original text cannot be displayed according to the format attribute, and therefore, part of the text format of the original text is lost; that is, current translation assisting systems often have difficulty preserving the text format of the original text.
Disclosure of Invention
An embodiment of the application aims to provide a text processing method, a text processing device, electronic equipment and a storage medium, which are used for improving the problem that a text format of an original text is difficult to keep.
The embodiment of the application provides a text processing method, which comprises the following steps: obtaining a sentence segment to be processed, wherein the sentence segment to be processed comprises text content and a format control label; breaking sentences of the sentence to be processed according to a preset rule to obtain sentence content and inter-sentence content, wherein the sentence content comprises text content and the inter-sentence content comprises a format control label; acquiring format control attributes corresponding to each sentence segment content from the inter-sentence content; generating a container label pair corresponding to each sentence segment content according to the format control attribute; adding the content of each sentence segment into the middle of the corresponding container label pair to obtain a word string to be displayed; and analyzing and displaying the character string to be displayed. In the implementation process, the format control attribute is extracted from each sentence content in turn, then a container label pair is generated according to the format control attribute, and then the sentence segment content after sentence breaking is wrapped (wrap) by the container label pair, so that the format control attribute of the original translation text can be extracted and reserved, the format of the translation text can be regenerated according to the container label with the format control attribute, and the problem that the text format of the original text is difficult to reserve is effectively solved.
Optionally, in the embodiment of the present application, the obtaining, from the inter-sentence content, the format control attribute corresponding to each sentence piece content includes: sequentially processing sentence segment contents and inter-sentence contents according to the position sequence in the sentence segment to be processed; if the inter-sentence content is processed and the inter-sentence content comprises a start tag of the format processing tag, recording the start tag in a preset data table; if the inter-sentence content is processed and the inter-sentence content comprises an end tag of the format processing tag, removing a start tag corresponding to the end tag from a preset data table; if the sentence segment content is processed, the format control attribute is obtained from the start tag of the current record of the preset data table, so as to obtain the format control attribute corresponding to each sentence segment content. In the implementation process, the sentence segment content and the inter-sentence content are sequentially processed according to the position sequence in the sentence segment to be processed; when the beginning label in the inter-sentence content is processed, the beginning label is added into a preset data table; when the end label corresponding to the start label is removed from the preset data table; and if the sentence segment contents are processed, the format control attribute is acquired, so that the format control attribute corresponding to each sentence segment content is effectively acquired, and the complexity of acquiring the format control attribute from the sentence segment contents is simplified.
Optionally, in an embodiment of the present application, the obtaining the format control attribute from the start tag currently recorded in the preset data table includes: acquiring a start tag of a current record of a preset data table; acquiring a format control attribute from the label content of the currently recorded starting label; or acquiring the identification information of the currently recorded start tag; and inquiring the format control attribute from the preset label information according to the identification information.
Optionally, in an embodiment of the present application, the preset data table includes: a stack structure; recording the start tag in a preset data table, including: executing a push operation on the stack structure according to the start tag; removing the start tag corresponding to the end tag from the preset data table, including: and executing the pop operation on the stack structure.
Optionally, in an embodiment of the present application, the preset data table includes: a linked list structure; recording the start tag in a preset data table includes: recording the start tag in a linked list structure; removing the start tag corresponding to the end tag from the preset data table, including: searching a start tag corresponding to the end tag from the linked list structure; and removing the start tag corresponding to the end tag from the linked list structure.
The embodiment of the application also provides a text processing device, which comprises: the processing sentence segment obtaining module is used for obtaining a sentence segment to be processed, wherein the sentence segment to be processed comprises text content and a format control label; the sentence segment processing and sentence breaking module is used for breaking sentences of a sentence segment to be processed according to a preset rule to obtain sentence segment contents and inter-sentence contents, wherein the sentence segment contents comprise text contents, and the inter-sentence contents comprise format control tags; the format attribute acquisition module is used for acquiring format control attributes corresponding to each sentence segment content from the inter-sentence content; the container label generating module is used for generating container label pairs corresponding to each sentence segment content according to the format control attribute; the display word string obtaining module is used for adding the content of each sentence segment into the middle of the corresponding container label pair to obtain a word string to be displayed; and the character string analysis display module is used for analyzing and displaying the character string to be displayed. In the implementation process, the format control attribute is extracted from each inter-sentence content in turn, then a container label pair is generated according to the format control attribute, and then each sentence segment content is added in the middle of the corresponding container label pair, namely, the sentence segment content after the sentence is broken by using the container label pair package (wrap), so that the format control attribute of the original translation text can be extracted and reserved, the format of the translation text can be regenerated according to the container label with the format control attribute, and the problem that the text format of the original text is difficult to reserve is effectively solved.
Optionally, in an embodiment of the present application, the format attribute obtaining module includes: the sequential processing module is used for sequentially processing sentence segment contents and inter-sentence contents according to the position sequence in the sentence segment to be processed; the starting tag recording module is used for recording the starting tag in a preset data table if the inter-sentence content is processed and comprises a starting tag of the format processing tag; the starting tag deleting module is used for removing a starting tag corresponding to the ending tag from a preset data table if the inter-sentence content is processed and the inter-sentence content comprises the ending tag of the format processing tag; and the control attribute acquisition module is used for acquiring the format control attribute from the start tag currently recorded in the preset data table if the sentence content is processed, so as to obtain the format control attribute corresponding to each sentence content.
Optionally, in an embodiment of the present application, the control attribute obtaining module includes: the format control attribute acquisition module is used for acquiring a start tag of a current record of a preset data table; acquiring a format control attribute from the label content of the currently recorded starting label; or a format control attribute query module, configured to obtain identification information of a start tag of the current record; and inquiring the format control attribute from the preset label information according to the identification information.
Optionally, in an embodiment of the present application, the preset data table includes: a stack structure; the start tag recording module is specifically used for executing a push operation on the stack structure according to the start tag; the start tag deleting module is specifically configured to execute a pop operation on the stack structure.
Optionally, in an embodiment of the present application, the preset data table includes: a linked list structure; the starting tag recording module is specifically used for recording the starting tag in a linked list structure; the starting tag deleting module is specifically used for searching a starting tag corresponding to the ending tag from the linked list structure; and removing the start tag corresponding to the end tag from the linked list structure.
The embodiment of the application also provides electronic equipment, which comprises: a processor and a memory storing machine-readable instructions executable by the processor to perform the method as described above when executed by the processor.
The embodiments of the present application also provide a storage medium having stored thereon a computer program which, when executed by a processor, performs a method as described above.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram showing data changes of a format processing method according to a comparative embodiment;
fig. 2 is a schematic flow chart of a text processing method according to an embodiment of the present application;
fig. 3 is a schematic diagram showing a display effect of a string to be displayed according to a comparison embodiment;
fig. 4 is a schematic structural diagram of a text processing device according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application.
Before introducing the text processing method provided by the embodiment of the application, some concepts related in the embodiment of the application are introduced:
natural language processing (Natural Language Processing, NLP), which is an important component in machine learning, refers to the research of natural language cognition, i.e., natural language cognition, which is also regarded as a related problem of artificial intelligence (AI-completion), due to the extensive knowledge about the outside world and the ability to manipulate such knowledge required for understanding (unrerstanning) natural language.
Hypertext markup language (Hyper Text Markup Language, HTML), which is a standard generic markup language, includes a series of tags by which HTML unifies document formats on a network, links discrete Internet (Internet) resources into a logical entity, and marks portions of a web page to be displayed by markup symbols.
The N-Gram model algorithm, also called N-Gram for short, is an algorithm based on a statistical language model; the basic idea of N-Gram is that the content in the text is operated according to the sliding window with the size of N according to bytes, and a byte fragment sequence with the length of N is formed; each byte segment is called a gram, statistics is carried out on the occurrence frequency of all the grams, filtering is carried out according to a preset threshold value, a key gram list, namely a vector feature space, is formed, and each gram in the list is a feature vector dimension.
A convolutional neural network (Convolutional Neural Networks, CNN), which is an artificial neural network whose artificial neurons can respond to surrounding units and can perform large-scale image processing; the convolutional neural network may include a convolutional layer and a pooling layer.
The Text convolutional network layer (Text-CNN) is an algorithm for classifying texts by using a convolutional neural network, and is an algorithm proposed by Yoon Kim in the article of application of the convolutional neural network in sentence classification.
The recurrent neural network (Recurrent Neural Network, RNN), also called recurrent neural network, is a type of recurrent neural network (recursive neural network) that takes sequence data as input, performs recursion (recovery) in the evolution direction of the sequence, and all nodes (circulation units) are connected in a chained manner.
Script object numbered musical notation (JavaScript Object Notation, JSON) is a lightweight data exchange format; JSON is based on a subset of ECMAScript, where ECMAScript is a JavaScript specification formulated by the european computer institute, which stores and represents data in a text format that is completely independent of the programming language.
Extensible markup language (eXtensible Markup Language, XML) is a subset of the standard generic markup language, and XML is also a markup language used to mark electronic documents to be structured.
It should be noted that, the text processing method provided in the embodiment of the present application may be executed by an electronic device, where the electronic device refers to a device terminal or a server having a function of executing a computer program, where the device terminal is for example: smart phones, personal computers (personal computer, PCs), tablet computers, personal digital assistants (personal digital assistant, PDAs), mobile internet appliances (mobile Internet device, MIDs), network switches or network routers, and the like.
Application scenarios to which the text processing method is applicable are described below, where the application scenarios include, but are not limited to: the text processing method is used for replacing the label and the label matching pair in the sentence segment to be translated, or the text processing method is used for replacing the format of the text file, or the label matching of the text file is replaced.
Please refer to fig. 1 for a schematic diagram of data change of the format processing method according to the comparative embodiment; the translation assisting system provided by the comparison embodiment can break each paragraph in the original text to be translated, and the format label pairs after breaking the sentence are divided into different sentence segment contents after breaking the sentence, so that the format label pairs are difficult to identify across the sentence segment contents, and the text format of the original text cannot be displayed.
The processing method provided by the comparison embodiment is described in detail below, and the source code of the sentence segment to be processed is "< p style=" font-family: regular script "> click < ui control > save </ui control > to store the translation content; < b > suggests that < b > < br/> more information about < b > translation operations, please see < xref target= "/hellp/translate"/>; first, the text paragraph is broken, and the result after breaking is shown in fig. 1. As can be seen from the to-be-processed sentence segment after sentence breaking in fig. 1, when attribute extraction is sequentially performed on the content after sentence breaking, since the format label pair of "< p style=" font-family ">" is divided into two inter-sentence content, that is, the format label pair of "< p style=" font-family ">" is split into two parts, it is difficult to match the label pair from separate parts in the process of sequentially processing the inter-sentence content and the sentence segment content, and the format attribute of "style=" font-family: regular script "in the label should be applicable format range cannot be determined.
The translation assisting system provided in the above-described comparative example can recognize only the pair of format tags in the line "< b > </b >" and "< ui control > </ui control >" after the sentence break, thereby displaying the in-line style; specific examples are: for the sentence segment content of "more information about < b > translation operation", the format tag pair of "< b > </b >" can be recognized, and thus, the translation operation can be thickened and displayed to the translation person.
Based on the analysis, in the process of replacing, the translation assisting system is difficult to acquire the format label pairs and the format attributes in the original text, so that the text format of the sentence segments to be processed in the original text cannot be displayed according to the format attributes, and the partial text format of the original text is lost; thus, the translation assisting system typically selects a text format that does not display the portion of the content that is the content of the pair of format tags that is divided into different sentence pieces of content, but only the inline style format that exposes the pair of format tags within the line, and thus it is often difficult for the translation assisting system to preserve the text format of the original text, i.e., to display the text format of the original text in its entirety.
The main idea of the text processing method is that format control attributes are sequentially extracted from each sentence content, then a container label pair is generated according to the format control attributes, and then the sentence segment content after sentence breaking is wrapped (wrap) by the container label pair, so that the format control attributes of the original translation text can be extracted and reserved, the format of the translation text can be regenerated according to the container label with the format control attributes, and the problem that the text format of the original text is difficult to reserve is effectively solved.
Please refer to fig. 2, which is a flowchart illustrating a text processing method according to an embodiment of the present application; the text processing method may include:
step S110: and obtaining a sentence segment to be processed, wherein the sentence segment to be processed comprises text content and a format control label.
The sentence segment to be processed refers to electronic data which needs to be processed in text format, and the sentence segment to be processed comprises text content and format control labels, specifically for example: referring to fig. 1 and 2, assume that the obtained sentence segment to be processed is "< p style=" font-family: regular script "> click < ui control > save </ui control > to store translation content; < b > suggests that < b > < br/> more information about < b > translation operations, please see < xref target= "/hellp/translate"/>; the text content in the sentence segment to be processed is ' click save to store translation content ', ' hint: more information about translation operation, please see; the format control labels in the sentence segment to be processed are < p style= "font-family: regular script" >, and < b > </b >, etc.
Of course, before step S110, it is further necessary to pre-process the original file, and parse the to-be-processed sentence segment from the pre-processed original file, where the format of the original file includes but is not limited to: doc, html, xml and MD, the original file needs to be parsed according to different language modules due to different formats, specifically for example: the thickening has different expression modes under the original files with different formats, if the thickening is performed in the html file, the thickening is usually expressed as "< b > thickening text"; if the thickness is increased in the MD (MakeDown) file, it is generally indicated by the letter "×" with the thickness.
The above-mentioned implementation of step S110 is various, including but not limited to: the first obtaining mode is to receive sentence segments to be processed sent by other terminal equipment, and store the sentence segments to be processed into a file system, a database or mobile storage equipment; the second obtaining manner obtains a pre-stored sentence segment to be processed, specifically for example: obtaining a sentence segment to be processed from a file system, or obtaining the sentence segment to be processed from a database, or obtaining the sentence segment to be processed from mobile storage equipment; and in a third obtaining mode, obtaining the sentence fragments to be processed on the Internet by using software such as a browser or accessing the Internet by using other application programs to obtain the sentence fragments to be processed.
After step S110, step S120 is performed: and breaking the sentence to be processed according to a preset rule to obtain sentence content and inter-sentence content.
Sentence segment content refers to the displayed substantial content, where the substantial content is used for being browsed and translated by a translator, and specific sentence segment content is shown in fig. 1.
Inter-sentence content refers to external tag content excluding sentence content in a sentence to be processed, and specifically, common inter-sentence content includes: white characters, external structure segment labels, end-to-end paired internal line segment labels, etc., and specific examples of inter-sentence content are shown in fig. 1.
The above-mentioned implementation of step S120 is various, including but not limited to the following:
in a first embodiment, breaking a sentence to be processed according to a preset label; the preset label may include: paragraph tags < p > and region tags < div >, etc., are described herein by taking sentence breaks according to paragraph tags as examples, specifically for example: if the sentence segment to be processed is < p > youwell-! </p > < p style= "font: bold" > thank-! And (p), then, according to paragraph labels, breaking the sentence to be processed to obtain the content of the sentence segment after breaking the sentence as' your-! The thank you-! The content between sentences after sentence breaking is < p > </p > < p style= "font: bold" >/p >; wherein, the sentence segment content comprises text content of' you good! "and" thank you! "the inter-sentence content includes format control tags < p > </p > and < p style=" font: bold ">, and format control attributes may be included in the format control tags, for example: the format control attribute included in the format control tag < p style= "font: bold" >, is style= "font: bold", but the format control attribute may not be included, for example, the format control tag < p > </p > has no format control attribute.
In a second embodiment, breaking the sentence to be processed according to the preset punctuation mark; after obtaining the sentence fragment content, the sentence can be broken according to preset punctuation marks, including but not limited to: comma, period, semicolon, exclamation mark, or the like. Of course, in some implementations, the second embodiment may also be used in combination with the first embodiment, for example: directly using the second embodiment or firstly using the first embodiment to break sentences and then using the second embodiment to break sentences under the condition that the preset label does not exist (for example, XML label is used) or the preset label format cannot be matched; the second embodiment may be used first, followed by the first embodiment.
In the third embodiment, in combination with the situation that cannot be handled in the first embodiment and the second embodiment, for example, in the case that none of the text format tags has the tag, that is, a standard HTML tag is not used, or punctuation marks in the obtained sentence segment content are not standard, or even no punctuation marks (such as ancient chinese or ancient text works) are not used, a Natural Language Processing (NLP) technique may be used to break the sentence segment to be processed; among the NLP techniques that may be used include, but are not limited to: conditional random field (conditional random field, CRF), context-based N-gram model approach, and neural network-based sentence-breaking approach. Of course, the ancient sentence segmentation can be regarded as a typical sequence labeling problem, the end-to-end neural network is adopted to calculate the conditional probability of the sequence labeling, and if the conditional probability is greater than a preset threshold, sentence segmentation is carried out on the sentence segment to be processed; among others, neural networks that may be employed include, but are not limited to: CNN, text-CNN, RNN, and convolutional recurrent neural network (Convolutional Recurrent Neural Networks, CRNN), where CRNN refers to a neural network model that includes CNN and RNN.
In the fourth embodiment, no good effect can be obtained for the processing of the three embodiments, and the translation staff can check the sentence to be processed and perform sentence breaking after analysis, and then execute the subsequent steps after manual sentence breaking.
After step S120, step S130 is performed: and obtaining the format control attribute corresponding to each sentence segment content from the inter-sentence content.
The embodiment of step S130 may include the steps of:
step S131: and sequentially processing sentence segment contents and inter-sentence contents according to the position sequence in the sentence segment to be processed.
The embodiment of step S131 described above is, for example: if the sentence segment to be processed after the sentence breaking is "< p style=" font-family: regular script "> click < ui control > save </ui control > to store the translation content; < b > suggests that < b > < br/> more information about < b > translation operations, please see < xref target= "/hellp/translate"/>; the sentence segment content and the inter-sentence content can be sequentially processed according to the position sequence in the sentence segment to be processed; the position sequence can refer to the sequence from top to bottom of the corresponding content of the sentence segment to be processed after the sentence is broken in fig. 1, specifically, the position sequence in the sentence segment to be processed is "< p style=" font-family: regular script ">", and the translated content is stored by clicking < ui control > to store; "," < b > "," hint: "," </b > < br/>, "more information about < b > translation operations, see < xref target="/hellp/translate "/>; "and" </p > ".
Step S132: if the inter-sentence content is processed and the inter-sentence content includes a start tag of the format processing tag, the start tag is recorded in a preset data table.
The preset data table refers to a data structure capable of adding, deleting, modifying and querying tag information, where the tag information includes a start tag and an end tag, and the preset data table includes but is not limited to: stack structure and linked list structure. An embodiment of step S132 will be described herein below.
Step S133: if the inter-sentence content is processed and the inter-sentence content comprises an end tag of the format processing tag, removing a start tag corresponding to the end tag from a preset data table.
Since the relationship between the step S132 and the step S133 is very tight, two steps will be described herein, and there are various embodiments of the step S132 to the step S133, at least including the following:
stack structure (stack), also called stack, stack or stack, is an abstract data type or data structure in computer science that allows only data addition and removal operations at one end of an ordered linear data set (called the top of stack), the core idea of the stack structure being to operate according to the principles of last in first out (LIFO, last In First Out); wherein adding data in a stack structure is also referred to as pushing or pushing (push), and removing data from a stack structure is also referred to as popping or popping (pop).
In a first embodiment, the preset data table may adopt a stack structure, and when the start tag is recorded in the preset data table, a push operation may be performed on the stack structure according to the start tag; and when the start tag corresponding to the end tag is removed from the preset data table, the stack structure can be subjected to a stack pulling operation. Specifically, for convenience of explanation and understanding, the stack structure is represented by an array form, when the stack structure is empty, the stack structure may be represented as [ ], the middle bracket on the left represents the stack top of the stack structure, the middle bracket on the right represents the stack bottom of the stack structure, and it is assumed that the push operation and the pop operation of the stack structure can only operate array elements at the stack top of the stack structure. The following describes the data in step S131 in detail, specifically for example: when the processing is carried out to "< p style=" font-family: regular script ">", "< p style=" font-family: regular script ">" is a start label, a push operation is carried out on "< p style=" font-family: regular script ">", and the stack structure after push is [ "< p style=" font-family: regular script ">" ]; when processing to click < ui control > to save </ui control >, storing the translation content; "when clicking on < ui control > to save </ui control > to save the translated content; "is sentence piece content, and therefore, step S134 should be performed at this time; when the processing reaches "< b >", and "< b >" is a start tag, performing a push operation on "< b >", wherein the push stack structure is [ "< b >", "< p style=" font-family: regular script ">"; when the processing is to "hint:" is sentence-segment content, so that step S134 should be performed at this time; when processing to "</b > < br/>", "</b >" is an end tag, so the start tag "< b >" corresponding to the end tag "</b >" should be removed from the stack structure, the removed stack structure is [ "< p style=" font-family: regular script ">" ], and "< br/>" is neither a start tag nor an end tag, and the tag can be skipped directly; when processing to "more information about < b > translation operation, please see < xref target="/hellp/translate "/>; in the case of "the specific operation principle is similar to that above, so that the description thereof will not be repeated here; when processing to "</p >", "</p >" is an end tag, and therefore, the start tag corresponding to the end tag should be removed from the stack structure, and the stack structure after removal is an empty stack structure, i.e., the empty stack structure is denoted as [ ].
In a second embodiment, when tags in a sentence segment to be processed cannot be tightly paired (possibly misplaced, and XML tags may also be used), specific examples are: the above-mentioned preset data table can adopt the chain table structure to solve this problem, specifically, when beginning label recording, can record the beginning label in the chain table structure; and when the start tag corresponding to the end tag is removed, the start tag corresponding to the end tag can be searched from the linked list structure, and the start tag is removed from the linked list structure. The implementation principle of this embodiment is similar to that of the first embodiment, and the first embodiment can be referred to with unclear places, and only the difference is that the first embodiment adopts a stack structure, while the first embodiment adopts a linked list structure, and when the start tag is removed, the first start tag corresponding to the end tag needs to be searched from the back to the front in the linked list structure, and the first start tag corresponding to the end tag is deleted from the preset data table.
Step S134: if the sentence segment content is processed, the format control attribute is obtained from the start tag of the current record of the preset data table, so as to obtain the format control attribute corresponding to each sentence segment content.
The above-mentioned implementation of step S134 is very various, including at least the following:
in a first embodiment, the format control attribute is directly obtained from the current start tag, and the embodiment includes: the method comprises the steps of obtaining a start tag of a current record of a preset data table, and obtaining a format control attribute from tag content of the start tag of the current record, specifically for example: referring to fig. 2, if the sentence segment to be processed is "< p style=" font-family "> regular script" > click < ui control > save </ui control > to store the translation content; < b > suggests that < b > < br/> more information about < b > translation operations, please see < xref target= "/hellp/translate"/>; </p > ", then when processing to the sentence piece content is" click < ui control > save </ui control > to save the translated content; when the method is used, the current recorded starting label in the preset data table is "< p style=" font-family: regular script ">", and the format control attribute in the starting label is obtained, so that the format control attribute is "font-family: regular script"; and by analogy, carrying out the processing on each sentence segment content to obtain the format control attribute corresponding to each sentence segment content. Sometimes, when a plurality of format control attributes are included in the start tag, it is not known which format control attribute needs to be obtained, which problem is described in detail below.
A second embodiment, in which format control attributes are queried in a start tag according to identification information, includes: when the start tag includes a plurality of format control attributes, the identification information of the currently recorded start tag may be acquired, and the format control attributes may be queried from preset tag information according to the identification information. In particular, for ease of understanding and explanation, a plurality of format control attributes in a start tag is described herein using cascading style sheet language (Cascading Style Sheets, CSS), the start tag being for example: < p style= "font: bold; border 5px; text-align: center; ">, which can be expressed as p { font: bold using CSS language; border 5px; text-align: center; -a }; wherein, the font represents font style as bold (bold), the frame represents 5 pixels (5 px) in frame size, the text-align represents text position as center (center), the format control attribute is "font: bold" from the preset label information according to the identification information if the identification information of the start label is the font, the format control attribute is "pointer: 5px" from the preset label information according to the identification information if the identification information of the start label is the font, and the format control attribute is "text-align: center" from the preset label information according to the identification information if the identification information of the start label is the text-align.
In the implementation process, the sentence segment content and the inter-sentence content are sequentially processed according to the position sequence in the sentence segment to be processed; when the beginning label in the inter-sentence content is processed, the beginning label is added into a preset data table; when the end label corresponding to the start label is removed from the preset data table; and if the sentence segment contents are processed, the format control attribute is acquired, so that the format control attribute corresponding to each sentence segment content is effectively acquired, and the complexity of acquiring the format control attribute from the sentence segment contents is simplified.
After step S130, step S140 is performed: and generating a container label pair corresponding to each sentence segment content according to the format control attribute.
A container label pair refers to a container label that the label is capable of wrapping (wrap) with other labels, it being understood that other labels may be nested or loaded by the container label pair, specifically the container label pair such as: < p > </p >, < pre > </pre > and < div > </div >, etc.; in a specific implementation, the container label pairs may be selected according to the particular circumstances.
The embodiment of step S140 described above is, for example: referring to fig. 2, if the sentence segment to be processed is "< p style=" font-family "> regular script" > click < ui control > save </ui control > to store the translation content; < b > suggests that < b > < br/> more information about < b > translation operations, please see < xref target= "/hellp/translate"/>; </p > ", there are many embodiments including, but not limited to, the following two:
In a first embodiment, a sentence segment container may be regarded as an anchor point, and an in-line tag, such as a span element tag, is directly placed in the sentence segment container, then a style attribute of the span element tag is further set, and finally the sentence segment content is placed in the span tag, or the sentence segment content is placed in a container tag pair; then the last obtained source code may be "< div style=" font-family: regular script "> click < span class=" ui control "> save </span > to store the translated content; < span class = "b" > suggests that < span > < br/> more information is about < span class = "b" > translation operation = "span >, please see < xref target ="/hellp/translate "/>; </div > ".
In the second embodiment, a style attribute can be set in a start tag of a container tag pair, and when the container tag pair needs to be further set with a style, the container tag can be nested in the container tag pair, and the style attribute is set in the nested container tag, so that the effect of further setting the text style of the content in the container tag pair is achieved; the implementation here is similar to the first embodiment above, except that the first embodiment embeds an in-line tag, whereas the present embodiment embeds a container tag.
In some embodiments, when generating the container label pair corresponding to each sentence segment content according to the format control attribute, the white character and the line-feed character can be directly reserved and displayed when the pre label is used; style attributes of style= "white-space: pre-wrap" may be set using other tags in addition to the pre-tag, so that white characters and line-feed are reserved for display; the content digital attribute may also be set according to the specific situation to control whether the content of the container can be edited.
After step S140, step S150 is performed: and adding the content of each sentence segment into the middle of the corresponding container label pair to obtain a word string to be displayed.
The embodiment of step S150 described above is, for example: assuming that the sentence segment to be processed is "< p style=" font-family: regular script "> click < ui control > save </ui control > to store translation content; < b > suggests that < b > < br/> more information about < b > translation operations, please see < xref target= "/hellp/translate"/>; </p > ", if the source code of the string to be displayed obtained using the first embodiment of step S140 is" < div style= "font-family" > regular script "> click < span class=" ui control "> save </span > to store the translation content; < span class = "b" > suggests that < span > < br/> more information is about < span class = "b" > translation operation = "span >, please see < xref target ="/hellp/translate "/>; </div > "; if the source code of the character string to be displayed obtained by using the second embodiment of the step S140 is "< div style=" font-family ". Regular script" > "click < div class=" ui control ">" save </div >; < div class= "b" > suggests that < div > < br/> more information about < div class= "b" > translation operation < div >, please see < xref target= "/hellp/translate"/>; </div > ".
After step S150, step S160 is performed: and analyzing and displaying the character string to be displayed.
Please refer to fig. 3, which is a schematic diagram illustrating a display effect of a string to be displayed according to a comparison embodiment; the effect of the character string to be displayed is analyzed and displayed in step S160, please refer to the display effect in fig. 3.
In the implementation process, the format control attribute is extracted from each inter-sentence content in turn, then a container label pair is generated according to the format control attribute, and then each sentence segment content is added in the middle of the corresponding container label pair, namely, the sentence segment content after the sentence is broken by using the container label pair package (wrap), so that the format control attribute of the original translation text can be extracted and reserved, the format of the translation text can be regenerated according to the container label with the format control attribute, and the problem that the text format of the original text is difficult to reserve is effectively solved.
Please refer to fig. 4, which illustrates a schematic diagram of a text processing apparatus according to an embodiment of the present application; the embodiment of the application provides a text processing device 200, which comprises:
the processing sentence segment obtaining module 210 is configured to obtain a sentence segment to be processed, where the sentence segment to be processed includes text content and a format control tag.
The sentence segment processing and sentence breaking module 220 is configured to break sentences of a sentence segment to be processed according to a preset rule, so as to obtain sentence segment content and inter-sentence content, where the sentence segment content includes text content, and the inter-sentence content includes a format control tag.
The format attribute obtaining module 230 is configured to obtain a format control attribute corresponding to each sentence piece content from the inter-sentence content.
The container tag generation module 240 is configured to generate a container tag pair corresponding to each sentence segment content according to the format control attribute.
And the display string obtaining module 250 is configured to add each sentence segment content to the middle of the corresponding container label pair, so as to obtain a string to be displayed.
The string parsing display module 260 is configured to parse and display a string to be displayed.
Optionally, in an embodiment of the present application, the format attribute obtaining module includes:
and the sequential processing module is used for sequentially processing the sentence segment content and the inter-sentence content according to the position sequence in the sentence segment to be processed.
And the starting label recording module is used for recording the starting label in a preset data table if the inter-sentence content is processed and the inter-sentence content comprises the starting label of the format processing label.
And the start tag deleting module is used for removing the start tag corresponding to the end tag from the preset data table if the inter-sentence content is processed and the inter-sentence content comprises the end tag of the format processing tag.
And the control attribute acquisition module is used for acquiring the format control attribute from the start tag currently recorded in the preset data table if the sentence content is processed, so as to obtain the format control attribute corresponding to each sentence content.
Optionally, in an embodiment of the present application, the control attribute obtaining module includes:
the format control attribute acquisition module is used for acquiring a start tag of a current record of a preset data table; the format control attribute is obtained from the tag content of the start tag of the current record.
Or a control attribute acquisition module, including:
the format control attribute query module is used for acquiring the identification information of the start tag of the current record; and inquiring the format control attribute from the preset label information according to the identification information.
Optionally, in an embodiment of the present application, the preset data table includes: stack structure.
The start tag recording module is specifically configured to execute a push operation on the stack structure according to the start tag.
The start tag deleting module is specifically configured to execute a pop operation on the stack structure.
Optionally, in an embodiment of the present application, the preset data table includes: a linked list structure.
The start tag recording module is specifically configured to record the start tag in a linked list structure.
The starting tag deleting module is specifically used for searching a starting tag corresponding to the ending tag from the linked list structure; and removing the start tag corresponding to the end tag from the linked list structure.
It should be understood that, corresponding to the above text processing method embodiment, the apparatus is capable of executing the steps involved in the above method embodiment, and specific functions of the apparatus may be referred to the above description, and detailed descriptions are omitted herein as appropriate to avoid redundancy. The device includes at least one software functional module that can be stored in memory in the form of software or firmware (firmware) or cured in an Operating System (OS) of the device.
Please refer to fig. 5, which illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application. An electronic device 300 provided in an embodiment of the present application includes: a processor 310 and a memory 320, the memory 320 storing machine-readable instructions executable by the processor 310, which when executed by the processor 310 perform the method as described above.
The embodiment of the present application also provides a storage medium 330, on which storage medium 330 a computer program is stored which, when executed by a processor 310, performs a method as above.
Wherein the storage medium 330 may be implemented by any type or combination of volatile or non-volatile Memory devices, such as a static random access Memory (Static Random Access Memory, SRAM), an electrically erasable Programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), an erasable Programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), a Programmable Read-Only Memory (PROM), a Read-Only Memory (ROM), a magnetic Memory, a flash Memory, a magnetic disk, or an optical disk.
In the embodiments of the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The apparatus embodiments described above are merely illustrative, for example, of the flowcharts and block diagrams in the figures that illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. 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.
In addition, the functional modules of the embodiments of the present application may be integrated together to form a single part, or the modules may exist separately, or two or more modules may be integrated to form a single part.
In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
The foregoing description is merely an optional implementation of the embodiment of the present application, but the scope of the embodiment of the present application is not limited thereto, and any person skilled in the art may easily think about changes or substitutions within the technical scope of the embodiment of the present application, and the changes or substitutions are covered by the scope of the embodiment of the present application.

Claims (10)

1. A text processing method, comprising:
obtaining a sentence segment to be processed, wherein the sentence segment to be processed comprises text content and a format control label;
breaking sentences of the sentence to be processed according to a preset rule to obtain sentence content and inter-sentence content, wherein the sentence content comprises the text content, and the inter-sentence content comprises the format control label;
Obtaining format control attributes corresponding to each sentence segment content from the inter-sentence content;
generating a container label pair corresponding to each sentence segment content according to the format control attribute;
adding each sentence segment content into the middle of the corresponding container label pair to obtain a word string to be displayed;
and analyzing and displaying the character string to be displayed.
2. The method of claim 1, wherein the obtaining, from the inter-sentence content, a format control attribute corresponding to each sentence segment content, comprises:
sequentially processing the sentence segment content and the inter-sentence content according to the position sequence in the sentence segment to be processed;
if the inter-sentence content is processed and the inter-sentence content comprises a start tag of a format processing tag, recording the start tag in a preset data table;
if the inter-sentence content is processed and the inter-sentence content comprises an end tag of a format processing tag, removing a start tag corresponding to the end tag from the preset data table;
and if the sentence segment content is processed, acquiring the format control attribute from the start tag currently recorded in the preset data table to obtain the format control attribute corresponding to each sentence segment content.
3. The method according to claim 2, wherein the obtaining the format control attribute from the start tag currently recorded in the preset data table includes:
acquiring a start tag of the current record of the preset data table;
acquiring a format control attribute from the label content of the currently recorded start label;
or alternatively
Acquiring the identification information of the currently recorded start tag;
and inquiring the format control attribute from the preset label information according to the identification information.
4. The method of claim 2, wherein the preset data table comprises: a stack structure; the recording the start tag in a preset data table includes:
executing a push operation on the stack structure according to the start tag;
the removing the start tag corresponding to the end tag from the preset data table includes: and executing a pop operation on the stack structure.
5. The method of claim 2, wherein the preset data table comprises: a linked list structure; the recording the start tag in a preset data table comprises:
recording the start tag in the linked list structure;
the removing the start tag corresponding to the end tag from the preset data table includes:
Searching a start tag corresponding to the end tag from the linked list structure;
and removing the start tag corresponding to the end tag from the linked list structure.
6. A text processing apparatus, comprising:
the processing sentence segment obtaining module is used for obtaining a sentence segment to be processed, wherein the sentence segment to be processed comprises text content and a format control label;
the sentence segment processing and sentence breaking module is used for breaking sentences of the sentence segment to be processed according to a preset rule to obtain sentence segment contents and inter-sentence contents, wherein the sentence segment contents comprise the text contents, and the inter-sentence contents comprise the format control labels;
the format attribute acquisition module is used for acquiring format control attributes corresponding to each sentence segment content from the sentence segment content;
the container label generating module is used for generating a container label pair corresponding to each sentence segment content according to the format control attribute;
the display word string obtaining module is used for adding the content of each sentence segment to the middle of the corresponding container label pair to obtain a word string to be displayed;
and the character string analysis display module is used for analyzing and displaying the character string to be displayed.
7. The apparatus of claim 6, wherein the format attribute acquisition module comprises:
The sequential processing module is used for sequentially processing the sentence segment content and the inter-sentence content according to the position sequence in the sentence segment to be processed;
the starting tag recording module is used for recording the starting tag in a preset data table if the inter-sentence content is processed and the inter-sentence content comprises the starting tag of the format processing tag;
a start tag deleting module, configured to, if the inter-sentence content is processed and the inter-sentence content includes an end tag of a format processing tag, remove a start tag corresponding to the end tag from the preset data table;
and the control attribute acquisition module is used for acquiring the format control attribute from the start tag currently recorded in the preset data table if the sentence segment content is processed, so as to obtain the format control attribute corresponding to each sentence segment content.
8. The apparatus of claim 7, wherein the control attribute acquisition module comprises:
the format control attribute acquisition module is used for acquiring a start tag of the current record of the preset data table; acquiring a format control attribute from the label content of the currently recorded start label; or alternatively
The format control attribute query module is used for acquiring the identification information of the start tag of the current record; and inquiring the format control attribute from the preset label information according to the identification information.
9. An electronic device, comprising: a processor and a memory storing machine-readable instructions executable by the processor to perform the method of any one of claims 1 to 5 when executed by the processor.
10. A storage medium having stored thereon a computer program which, when executed by a processor, performs the method of any of claims 1 to 5.
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