CN102081600B - E-book typesetting method and e-book typesetting system - Google Patents
E-book typesetting method and e-book typesetting system Download PDFInfo
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Abstract
The invention provides an e-book typesetting method for typesetting an e-book on e-book reading devices of different screen sizes, which comprises the following steps of: reading the text data in the e-book; then analyzing the format of the text data; then performing typesetting optimization processes including new-line character analysis, context detection and long-paragraph analysis on the text data in combination with the environmental parameters of the e-book reading device; typesetting the text data according to the format of typesetting optimization process; finally displaying the typeset e-book text data. The invention further provides an e-book typesetting system. By using the invention, optimized typesetting function can be realized, and the user can achieve favorable reading effect on all the e-book reading devices having different screen sizes or parameters.
Description
Technical field
The present invention relates to a kind of e-book composition method and system thereof, more particularly, relate to a kind of e-book composition method and system thereof that can adapt to different screen size e-book reading device.
Background technology
In general, e-book is meant the electronic edition books, claims e-book again, is the electronic version of traditional printing books, and the user can use download e-book such as personal computer or E-book reader to carry out off-line and read.Because e-book can be downloaded from network automatically; The user can use various electronic book equipments; As: computing machine, E-book reader or mobile phone carry out magnanimity and read; Also can through search, search, setting-out, note and hyperlink etc. realize the function on the similar paper book, along with networks development, the application of e-book is also increasingly extensive.Because the convenience that carries, mobile phone and E-book reader be usually as the arrangement for reading of e-book, yet; Different E-book readers or mobile phone have different separately screen sizes or text formatting, and most of electronic reading equipment does not all have the automatic typesetting function, can not adjust the typesetting format of literal according to the different sizes (automatically) of screen; And, for the e-book of users from networks download, as: text e-book, electronic book of mobile phone etc.; Because its form is to be directed against specific electronic reading equipment; After adopting other arrangement for reading to download, often can not correctly discern or show textual characters such as paragraph, line feed and blank line wherein, therefore; The composing function is very poor, has influenced user's reading effect greatly.
Summary of the invention
Fundamental purpose of the present invention provides a kind of e-book composition method that can be applicable to that the electronic reading equipment of different screen size, person easy to use read.
For realizing above-mentioned purpose, e-book composition method provided by the invention is used on the e-book reading device of different screen size, e-book being set type, and comprising:
Read the text data in the e-book;
Analyze the form of text data;
Environmental parameter in conjunction with said e-book reading device comprises said text data form: newline analysis, the composing optimization process that front and back literary composition linguistic context detects and long paragraph is analyzed;
Form according to the composing optimization process is set type to text data;
Show the e-book text data after setting type.
Visible by above scheme; The present invention has combined the environmental parameter of e-book reading device that the e-book text data form that reads is set type; Delete wherein unnecessary line feed and blank parts; Analyze long paragraph and combine the environmental parameter of e-book reading device to carry out paragraph and cut apart; Make the reader on the e-book reading device of different screen size, all can have good reading effect, avoided using different e-book reading devices in the classic method and the unnecessary new line symbol that occurs, unnecessary blank line and do not have the situation of the long text of new line, the composing function of optimizing greatly.
Another object of the present invention provides a kind of system that adopts said method that e-book reading device is set type.
For realizing above-mentioned purpose, e-book composing system provided by the invention is used on the e-book reading device of different screen size, e-book being set type, and comprises the read module, format analysis module, type-setting module and the display module that are linked in sequence;
Read module is used to read the text data of e-book;
The form of format analysis module analysis text data;
The environmental parameter that type-setting module combines e-book reading device is to the set type optimization process and setting type of text data form; Type-setting module comprises newline analysis part, literary composition linguistic context test section, front and back and the long paragraph analysis part to text data;
Display module is used to show the e-book text data after the composing.
Adopt system of the present invention to come the processing of setting type of text data form according to the environmental parameter of the e-book reading device of different screen size;, type-setting module can analyze to judge the validity of current newline when finding newline character before and after it; And judge the cut-point of long paragraph according to the linguistic context type, effectively avoided when different e-book reading devices are read the situation of incorrect line feed, blank character and the long texts that produce owing to environmental parameters such as screen size, pixel difference; Therefore; The composing function of having used system optimization of the present invention, improve reading effect greatly, be fit to the electronic reading equipment of different screen size, in addition; The native system cost is little, installation is simple, is with a wide range of applications.
Description of drawings
Fig. 1 is the general flow chart of the present invention's e-book composition method.
Fig. 2 is the newline analysis process figure of the present invention's e-book composition method.
Fig. 3 is the exemplary plot that the last character analysis of current character of the present invention's e-book composition method is set type.
Fig. 4 is the exemplary plot that the back character analysis of current character of the present invention's e-book composition method is set type.
Fig. 5 is the front and back literary composition contextual analysis exemplary plot of the present invention's e-book composition method.
Fig. 6 is the long paragraph analysis process figure of the present invention's e-book composition method.
Fig. 7 is the long paragraph analysis and judgement condition synoptic diagram of the present invention's e-book composition method.
Fig. 8 is the system architecture synoptic diagram of the present invention's e-book composing system.
Below in conjunction with each embodiment and accompanying drawing thereof the present invention is described further.
Embodiment
E-book composition method embodiment
A kind of e-book composition method of on the e-book reading device of different screen size, e-book being set type of being used for referring to Fig. 1, specifically comprises the steps: at first to read the text data in the e-book; Analyze the form of text data then; The environmental parameter that then combines e-book reading device is to the optimization process of setting type of text data form; According to the form of composing optimization process text data is set type again; Show the e-book text data after setting type at last.Wherein, the set type process of optimization process of text data form is comprised: newline analysis, front and back literary composition linguistic context detect and long paragraph analysis.
Analyzing the text data form specifically comprises: text data is carried out textual character analysis and paragraph analysis; The syntax analyzer (parser) that different e-book forms is corresponding different; After syntax analyzer is accomplished the text data format analysis, get into next step newline is analyzed.
The method of newline analysis specifically is that the last character of current character and back one character are detected; To judge whether effective method of current line feed character; Through the analysis of newline, the newline in the display text data that can be correct is with unnecessary line feed of text data and blank line deletion; Referring to Fig. 2, its concrete steps are following:
Sa1: read current character;
Sa2: judge whether said current character is newline,, otherwise get into step sa8 if then get into next step sa3; Judge whether the current character read is newline, if newline then the front and back character of current character is further judged, if not newline then gets into the long paragraph analytical procedure of sa8;
Sa3: the last character that reads said current character;
Sa4: judge whether said last character belongs to: one of them in the sentence end marks such as question mark, suspension points, back punctuation marks used to enclose the title, back quotation marks, exclamation mark if then tentatively judge current newline effectively and get into next step sa5, otherwise gets into step sa8; Current character is a newline, and judge whether the last character of current character belongs to an end mark this moment, if belonging to an end mark judges that then current carriage return character is effective, otherwise the long paragraph analytic process that gets into step sa8 judges that simultaneously current carriage return character is invalid; The sentence end mark comprise question mark (?), suspension points (...), the back punctuation marks used to enclose the title ("), exclamation mark (! ), back quotation marks (") etc., non-sentence end mark then comprises: comma (), preceding quotation marks ("); Colon (:), pause mark () etc., Fig. 3 judges and the example of setting type the last character of current character; Wherein, then read last character and analyze, and last character is a comma because the current character that reads is a newline; Therefore, judge that current line feed character is invalid.
Sa5: a back character that reads said current character;
Sa6: judge whether said back one character belongs to one of them of bullets or other begin symbols,, otherwise get into step sa8 if judge once more that then current line feed character is effective and get into next step sa7; When last character belongs to end mark; Further judge whether a back character of current character belongs to bullets or other begin symbols, as: ●, ★, ◆ etc., if belong to bullets or other begin symbols; Judge that then current line feed character is effective; If do not belong to above-mentioned bullets or begin symbol, then get into long paragraph analytic process, and judge that current line feed character is invalid; Fig. 4 is the example that back one character is judged and set type, and current character is a newline, because last character is a literal; Therefore get into the judgement of back one character, back one character is a suspension points, and suspension points does not belong to bullets or begin symbol; Therefore, judge that current line feed character is invalid.
Sa7: literary composition contextual analysis process in front and back gets into step sa9; Front and back character through to current line feed character judges, when last character belong to an end mark, when back one character belongs to bullets or begin symbol, current line feed character is only effectively, could get into the civilian contextual analysis process in front and back;
Wherein, The method of the civilian contextual analysis in front and back is the linguistic context classification according to text data; As in: dialogue, chapters and sections, the sentence, title or personage introduction etc.; Then through analyzing in the said text data: beginning punctuate, initial character, intermediate character, tail tag point and trailing character judge that sentence is whole or half, thereby judge whether effective method of said current line feed character.Fig. 5 is several typical cases of the civilian contextual analysis in front and back, and wherein through the comprehensive judgement of linguistic context judgement, beginning and tail tag point, head and the tail character and intermediate character, whether effective judged result is to set type to draw current line feed character.
Sa8: judge that newline is invalid, get into long paragraph analytic process; Current character does not belong to newline, or its last character do not belong to an end mark, or back one character judges that current character is not a newline when not belonging to bullets or begin symbol, then gets into the process of long paragraph analysis this moment;
Wherein, the detailed process that long paragraph is analyzed is following, and its flow process is referring to Fig. 6:
Sb1: the big or small w and the font size f that demonstration is set that obtain screen;
Sb2: calculate the shared elemental area of each word: x=(word wide+word space) * (word height+line space);
Sb3: the number of characters that calculates segmentation: m=(w*1/3)/x;
Sb4: the number of characters according to segmentation is searched nearest sentence, when the character number in the nearest sentence during more than or equal to the number of characters of segmentation, gets into step sb5;
Sb5: carry out whole sentence sentence and search; This step mainly is to judge the type of lteral data; Rule of judgment specifically comprises: whether belong to dialogue, as comprising characters such as " ", " ", be the sentence end position after judging above-mentioned character this moment; Perhaps whether reach the largest paragraph thresholding, if reach then judge that end of the sentence is the sentence end position; Perhaps judge whether to belong to bullets, as: ●, ★, ◆ etc., then judge and be the sentence end position before the above-mentioned bullets if belong to; Perhaps judge whether to belong to chapter title, be the sentence end position before second space as if belonging to then; Concrete Rule of judgment and the results list are referring to Fig. 7;
Sb6: insert the new line symbol; Insert the new line symbol according to judged result at the sentence end position, thereby long section literal is correctly cut apart according to screen parameter;
Sb7: finish.Finish long paragraph analytic process, prepare to get into next step.
Sa9: finish.Finish the newline analytic process, prepare to get into next step.
After accomplishing above-mentioned analysis; According to optimizing the composing result; After the text data of e-book set type, the result is shown on e-book reading device, at this moment; Unnecessary blank line in the text data, enter a new line and the long section literal that do not have " new line " correct handling, the user all can obtain good reading effect, realize good composing function on the electronic reading equipment of different screen size.
E-book composition method of the present invention goes for various e-book reading devices, and text wherein is applicable to the e-book form that various e-book reading device adopts, as: UMD, PDB, TXT etc.
A kind of conversion as e-book composition method embodiment of the present invention; The present invention goes for the composing of English text; Equally also can realize the object of the invention; Method and said method institute to English electronic book data is set type are similar, and difference is that the judgement for punctuate is less than the punctuate judgement of Chinese slightly, repeats no more here.
E-book composing system embodiment
Be used for the e-book composing system of on the e-book reading device of different screen size, e-book being set type, comprise: the read module that is linked in sequence, format analysis module, type-setting module and display module; Its system construction drawing is referring to Fig. 8, and read module is used to read the text data of e-book; The form of format analysis module analysis text data; The environmental parameter that type-setting module combines e-book reading device is to the set type optimization process and setting type of text data form; Display module is used to show the e-book text data after the composing.
Wherein, the format analysis module comprises textual character analysis part and the paragraph analysis part to text data; The format analysis module can adopt syntax analyzer to realize, to different e-book reading devices, its corresponding syntax analyzer has nothing in common with each other.
Type-setting module comprises newline analysis part, literary composition linguistic context test section, front and back and the long paragraph analysis part to text data; Whether the newline analysis part detects with back one character the last character of current character, effective to judge current line feed character; Civilian linguistic context test section, front and back is the linguistic context classification according to text data; Analyze in the said text data: beginning punctuate, initial character, intermediate character, tail tag point and trailing character judge that sentence is whole or half, thereby judge whether current line feed character is effective; Long paragraph analysis part is to analyze the segmentation number of characters according to screen size, and combines the lteral data type to judge whether to insert the carriage return character.
In the newline analysis part; Analysis through newline; Newline in the display text data that can be correct; With unnecessary line feed of text data and blank line deletion, at first read current character and judge whether current character is newline, if newline then reads the last character of current character and judges whether last character belongs to: one of them in the sentence end marks such as question mark, suspension points, back punctuation marks used to enclose the title, back quotation marks, exclamation mark; When last character belongs to an end mark, then
Read a back character of current character and judge whether back one character belongs to one of them of bullets or other begin symbols; Bullets or begin symbol comprise as: ●, ★, ◆ wait character; If back one character belongs to bullets or begin symbol, judge that then current newline effectively and by front and back literary composition contextual analysis partly begins to analyze; Aforementionedly be judged as non-situation and judge that all current newline is invalid and analyze by long paragraph analysis part.
In the civilian contextual analysis part in front and back; System is according to the linguistic context classification of text data; As in: dialogue, chapters and sections, the sentence, title or personage introduction etc.; Then through analyzing in the text data: beginning punctuate, initial character, intermediate character, tail tag point and trailing character judge that sentence is whole or half, thereby judge whether said current line feed character is effective, and its specific analytical method and foundation are referring to the literary composition contextual analysis of the front and back among e-book composition method embodiment method.
In the long paragraph analysis part, system at first obtains the big or small w and the font size f that demonstration is set of screen; Calculate the number of characters m:x of shared elemental area x of each word and segmentation=(word wide+word space) * (word height+line space), m=(w*1/3)/x then; Nearest sentence is searched and is judged the type of lteral data according to result calculated; Rule of judgment specifically comprises: whether belong to dialogue, as comprising characters such as " ", " ", be the sentence end position after judging above-mentioned character this moment; Perhaps whether reach the largest paragraph thresholding, if reach then judge that end of the sentence is the sentence end position; Perhaps judge whether to belong to bullets, as: ●, ★, ◆ etc., then judge and be the sentence end position before the above-mentioned bullets if belong to; Perhaps judge whether to belong to chapter title, be the sentence end position before second space as if belonging to then; Concrete Rule of judgment and the results list are referring to Fig. 7; After judging end, insert the new line symbol, thereby long section literal is correctly cut apart according to screen parameter at the sentence end position.
After type-setting module is handled blank line unnecessary in the text data, line feed and the correct newline that occurs and set type, the result is presented on the e-book reading device through display module.
Among the present invention's the e-book composing system embodiment, can realize the function of system, also can adopt other microcontrollers or Programmable Logic Controller to realize above-mentioned functions, equally all can realize the object of the invention through MCU.
E-book composing system of the present invention goes for various e-book reading devices, and text wherein is applicable to the e-book form that various e-book reading device adopts, as: UMD, PDB, TXT etc.
A kind of conversion as e-book composing system embodiment of the present invention; The present invention goes for the composing of English text; Equally also can realize the object of the invention, it is similar that English electronic book data is carried out composing system structure and said structure institute, repeats no more here.
Claims (5)
1. the e-book composition method is used on the e-book reading device of different screen size, e-book being set type, and it is characterized in that:
This method comprises:
Read the text data in the e-book;
Analyze the form of said text data;
Environmental parameter in conjunction with said e-book reading device comprises said text data form: newline analysis, the composing optimization process that front and back literary composition linguistic context detects and long paragraph is analyzed;
Form according to said composing optimization process is set type to said text data;
Show the e-book text data after setting type;
The method of said newline analysis is that the last character of current character and a back character are detected, and when last character belongs to an end mark and afterwards a character belongs to first symbol, judges that current line feed character is effective, otherwise the invalid method of current line feed character;
The method that said front and back literary composition linguistic context detects is the linguistic context classification according to said text data; Through analyzing in the said text data: beginning punctuate, initial character, intermediate character, tail tag point and trailing character judge that sentence is whole or half, thereby judge whether effective method of said current line feed character.
2. e-book composition method according to claim 1 is characterized in that:
The concrete steps of said newline analytical approach are:
Sa1: read current character;
Sa2: judge whether said current character is newline,, otherwise get into step sa8 if then get into next step sa3;
Sa3: the last character that reads said current character;
Sa4: judge whether said last character belongs to: one of them in question mark, suspension points, back punctuation marks used to enclose the title, back quotation marks, the exclamation mark sentence end mark if the current newline of then preliminary judgement is effective and get into next step sa5, otherwise gets into step sa8;
Sa5: a back character that reads said current character;
Sa6: judge whether said back one character belongs to one of them of bullets or other begin symbols,, otherwise get into step sa9 if judge once more that then current newline is effective and get into next step sa7;
Sa7: literary composition contextual analysis process in front and back gets into step sa9;
Sa8: judge that newline is invalid, get into long paragraph analytic process;
Sa9: finish.
3. e-book composition method according to claim 1 and 2 is characterized in that:
The detailed process of said long paragraph analysis is:
Sb1: the big or small w and the font size f that demonstration is set that obtain screen;
Sb2: calculate the shared elemental area of each word: x=(word wide+word space) * (word height+line space);
Sb3: the number of characters that calculates segmentation: m=(w*1/3)/x;
Sb4: the number of characters according to segmentation is searched nearest sentence, when the character number in the nearest sentence during more than or equal to the number of characters of segmentation, gets into step sb5;
Sb5: carry out whole sentence sentence and search;
Sb6: insert the new line symbol in sentence end;
Sb7: finish.
4. e-book composition method according to claim 1 and 2 is characterized in that:
Said analysis text data form specifically comprises:
Said text data is carried out textual character analysis and paragraph analysis.
5. the e-book composing system is used on the e-book reading device of different screen size, e-book being set type, and it is characterized in that:
This system comprises read module, format analysis module, type-setting module and the display module that is linked in sequence;
Read module is used to read the text data of e-book;
The form of the said text data of format analysis module analysis; Said format analysis module comprises the textual character analysis part of said text data and paragraph analysis part;
The environmental parameter that type-setting module combines said e-book reading device is to the set type optimization process and setting type of said text data form; Said type-setting module comprises newline analysis part, literary composition linguistic context test section, front and back and the long paragraph analysis part to said text data; Whether said newline analysis part detects with back one character the last character of current character, effective to judge current line feed character; Literary composition linguistic context test section, said front and back is the linguistic context classification according to said text data; Analyze in the said text data: beginning punctuate, initial character, intermediate character, tail tag point and trailing character judge that sentence is whole or half, thereby judge whether said current line feed character is effective; Said long paragraph analysis part is to analyze the segmentation number of characters according to screen size, and combines the lteral data type to judge whether to insert the carriage return character; Display module is used to show the e-book text data after the composing.
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