A picture book processing method

Abstract

The present invention discloses a picture book processing method, including: screening and arranging characters in a text, grouping characters, dividing them into sections and colors and placing them on top; identifying the text content paragraph by paragraph and discussing them by category, and searching downward if there are no quotation marks in the paragraph; if there are quotation marks in the paragraph, dividing the content into paragraphs according to the content before, in and after the quotation marks, and extracting the content in the quotation marks; identifying and extracting target characters in the paragraphs before and after the quotation marks, searching and comparing the extracted target characters with the set of characters placed on top line by line, and marking the extracted content in the quotation marks with the same color according to the color of the line corresponding to the target character in the character set. The beneficial effect is that the technical solution of the present application is time-efficient, convenient and fast, and has high output efficiency. The fault tolerance rate is greatly improved, and the temporary replacement of text content and text labor due to personal reasons of the picture book workers is avoided, and the orderly efficiency is high, and even if there is content in the text that needs to be modified, it can be quickly modified and improved.

Description

Technical Field

[0001] The present invention relates to the field of picture book processing design, and in particular to a picture book processing method. Background Art

[0002] The narration and dialogues of different characters are marked in the manuscript with texts of different colors, so that the anchor can quickly and accurately record his or her own lines. The picture book is an important part of dual broadcast and multi-person dramas. It can also be understood as a way to quickly distinguish the lines of characters without changing the original text. The audio market in today's era has been widely known, and more and more talents are flowing into the audio market. The threshold of the audio market is getting lower and lower, resulting in a surge in the number of books released. A studio needs to find a large number of picture book personnel to help mark, divide, and color the text...to facilitate the subsequent anchors to better record. However, because the manual efficiency is too slow and complicated, there is an urgent need for an automatic picture book software that can save labor, reduce labor costs, and improve efficiency, so that the industry can quickly skip the first stage.

[0003] In the current era, more and more audio, film, television, animation... need actors and dubbing workers, and actors and dubbing workers need to quickly distinguish their own lines from those of other colleagues. This market needs a large amount of sketchbook materials. A software that can quickly draw scripts can greatly improve work efficiency.

[0004] There is no peer in the market. There is a similar software called "Hua Ben Yao Ji". This software is not only expensive, but also very inefficient. It can only reduce the time efficiency of a 3 million-word document by 30% compared with manual processing. It is a processing mode that is mainly manual and supplemented by machines. Therefore, a platform with relatively low price, convenient operation and fast speed is needed. Summary of the invention

[0005] The purpose of the present invention is to provide a picture book processing method in order to solve the above problems.

[0006] The present invention achieves the above-mentioned purpose through the following technical solutions:

[0007] A picture book processing method, comprising:

[0008] Process the text in a unified format;

[0009] Filter and arrange the characters in the text, group them, divide them into sections and colors, and put them on top to form a character collection;

[0010] Identify the content of the text paragraph by paragraph and discuss it by category.

[0011] If there are no quotation marks in the paragraph, search downwards;

[0012] If there are quotation marks in the paragraph, the content is split into paragraphs according to before the quotation marks, in the quotation marks, and after the quotation marks, and the content in the quotation marks is extracted; the target person in the paragraphs before and after the quotation marks is identified and extracted, and the extracted target person is searched and compared with the top character set line by line, and the content in the extracted quotation marks is marked with the same color according to the color of the row where the corresponding target person in the character set is located.

[0013] As a preferred implementation of this case, the identifying the text content paragraph by paragraph and discussing it by category also includes:

[0014] If there are quotation marks in the paragraph and the content in the quotation marks is a separate paragraph, the target person in the upper and lower paragraphs is screened, and the content in the quotation marks is marked with the color of the person set that is closest to the target person.

[0015] As a preferred implementation of this case, the identifying the text content paragraph by paragraph and discussing it by category also includes:

[0016] If there are quotation marks in the paragraph, and there is no target person in the content before or after the quotation marks, then screen upward and downward until the target person is found, and mark the corresponding content in the quotation marks with the color of the character set to which the target person belongs.

[0017] As a preferred implementation of this case, the method of screening and arranging characters in the text includes the following method:

[0018] The characters are manually screened paragraph by paragraph, grouped and arranged in paragraphs to form a character set and placed above the main text content, and each paragraph is randomly marked with a color.

[0019] As a preferred implementation of this case, the method of screening and arranging characters in the text includes the following method:

[0020] Identify the content of the text paragraph by paragraph and discuss it by category.

[0021] If there are no quotation marks in the paragraph, search downwards;

[0022] If there are quotation marks in the paragraph, the content is divided into paragraphs according to the content before, during and after the quotation marks, and the content before and after the quotation marks is extracted. The content before and after each quotation mark is analyzed to determine whether it contains the surname.

[0023] If the surname is not included, search downwards.

[0024] If it contains a surname, extract the surname and the last one and two characters after the surname;

[0025] Extract the surname and the last character and two characters after the surname of each content before and after the quotation marks in turn, and store them in lists, namely list 1 and list 2;

[0026] Analyze the surnames in list 2 and the last two characters of the surnames to see if they can form a character phrase and their frequency of occurrence.

[0027] If a character phrase can be formed and the frequency of occurrence exceeds the user-set value, the character phrase is extracted and stored as list three.

[0028] Delete the character phrases in list one that have the same first two characters as those in list three;

[0029] After analyzing and processing, we determine whether the surnames and the characters after them in List 1 can form a character phrase and their frequency of occurrence.

[0030] If a character phrase can be formed and the frequency of occurrence reaches or exceeds the user-set value, the character phrase is extracted and the extracted character phrase is stored as a list four;

[0031] Combine List 3 and List 4 into List 5.

[0032] As a preferred implementation of this case, the method of screening and arranging characters in the text includes the following method:

[0033] Identify the text content paragraph by paragraph and determine whether it contains a surname.

[0034] If the paragraph does not contain the surname, search downwards;

[0035] If it contains a surname, extract the surname and the last one and two characters after the surname;

[0036] Extract the surname and the last character and two characters after the surname of each content before and after the quotation marks in turn, and store them in lists, namely list 1 and list 2;

[0037] Analyze the surnames in list 2 and the last two characters of the surnames to see if they can form a character phrase and their frequency of occurrence.

[0038] If a character phrase can be formed and the frequency of occurrence exceeds the user-set value, the character phrase is extracted and stored as list three.

[0039] Delete the character phrases in list one that have the same first two characters as those in list three;

[0040] After analyzing and processing, we determine whether the surnames and the characters after them in List 1 can form a character phrase and their frequency of occurrence.

[0041] If a character phrase can be formed and the frequency of occurrence reaches or exceeds the user-set value, the character phrase is extracted and the extracted character phrase is stored as a list four;

[0042] Combine List 3 and List 4 into List 5.

[0043] As a further implementation method of the present case, list five is grouped and segmented to form a character set of the text, and marking colors are randomly assigned to the characters in each paragraph of the character set, with each character in each paragraph having the same color.

[0044] Preferably, the screening and arranging of characters in the text comprises the following method:

[0045] Identify the text content paragraph by paragraph and determine whether it contains a surname.

[0046] If the paragraph does not contain the surname, search downwards;

[0047] If the surname is included, the surname and the last character and the last character after the surname are extracted to form a character phrase, and the extracted character phrases are sequentially stored as a list six;

[0048] After the content of the text is screened, the frequency of the character phrases in list 6 is counted.

[0049] If the frequency of occurrence of the character phrase in List 6 reaches or exceeds the user-set value, the character phrase is extracted, and the extracted character phrase is placed at the top of the text content as a character set. The frequency of occurrence of the character phrase and the character phrase itself are output to a new document for manual review.

[0050] The beneficial effect is that compared with manual and current processing software, the technical solution of the present application is time-efficient, convenient and fast, and has high output efficiency. The fault tolerance rate is greatly improved, and the temporary replacement of text content and text manual work due to personal reasons of the drawing book are avoided, and the efficiency is high in an orderly manner. Even if there is content in the text that needs to be modified, it can be quickly modified and improved.

[0051] This software program can be applied to picture books, game characters, animation characters, film and television, novels and other fields involving secondary literary creation texts. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0053] Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0054] To make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described in detail below. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other implementation methods obtained by ordinary technicians in this field without creative work belong to the scope of protection of the present invention.

[0055] See also Figure 1 As shown, the present invention provides a picture book processing method, comprising:

[0056] Process the text in a unified format; that is, process it according to the format of the picture book.

[0057] The characters in the text are screened and arranged, and the characters are grouped, segmented, and colored and placed at the top to form a character set; that is, the characters are grouped according to the characters that each dubbing worker needs to dub, each group is a segment, and each segment is randomly assigned a different color mark. Then, these groups are placed above the main text as a character set for comparison with the target character.

[0058] For example: filter out the characters in the text and divide them into groups and segments as follows:

[0059] Chen Yunru, Wang Zhijun

[0060] Sun Yuxuan, Assistant to Exxon

[0061] Zhou Fei, Jonathan, Liu Yiming, Exon, Xu Bohua, Heins

[0062] Jiang Yang, Qian Lao, Chen Tianhong, Zhou Dehai, Brady, Zhang Xiang

[0063] Xu Nan, Wang Tianfeng, Zhu Lao, Brady, Tang Qiang, Xiao Ni, Wang Liyong, Luca

[0064] These five groups of characters constitute a character set, each group constitutes a paragraph, each group of characters is dubbed by a dubbing worker, and each group is marked with a different color, such as the first group marked as yellow, the second group marked as green, the third group marked as red, the fourth group marked as pink, and the fifth group marked as blue.

[0065] Identify the content of the text paragraph by paragraph and discuss it by category:

[0066] Specifically, if there are no quotation marks in the paragraph, search downward;

[0067] If there are quotation marks in the paragraph, the content is split into paragraphs according to before the quotation marks, in the quotation marks, and after the quotation marks, and the content in the quotation marks is extracted; the target person in the paragraphs before and after the quotation marks is identified and extracted, and the extracted target person is searched and compared with the top character set line by line, and the content in the extracted quotation marks is marked with the same color according to the color of the row where the corresponding target person in the character set is located.

[0068] For example: "You have an idea so quickly?" Zhou Dehai asked in surprise.

[0069] If it is recognized that this paragraph has quotation marks, the content will be split into paragraphs according to the part before the quotation marks, the part in the quotation marks, and the part after the quotation marks, that is, an empty paragraph, a paragraph in the quotation marks, and a paragraph after the quotation marks. Then, the character "Zhou Dehai" in the paragraph content after the quotation marks is extracted. After extracting "Zhou Dehai", it is compared one by one with the characters in the character collection. If Zhou Dehai is found to be in the fourth group, the content in the quotation marks "You have an idea so soon?" will be marked with the corresponding color, that is, pink.

[0070] As a preferred implementation of this case, the paragraph-by-paragraph identification and classification discussion of the text content also includes: if there are quotation marks in the paragraph and the content in the quotation marks is a separate paragraph, the target person in the upper and lower paragraphs is screened, and the content in the quotation marks is marked with the color of the character set where the target person is located. The separate paragraph content can be dubbed by any dubbing worker.

[0071] As a preferred implementation of this case, the paragraph-by-paragraph identification and classification discussion of the text content also includes: if there are quotation marks in the paragraph, and there is no target person in the content before or after the quotation marks, screening upward and downward until the target person is screened, and marking the corresponding content in the quotation marks with the color of the character set where the target person is located. The dubbing worker needs to identify whether dubbing is required.

[0072] There are three implementation methods for filtering and arranging characters in a text:

[0073] Embodiment 1:

[0074] The method of screening and arranging characters in the text includes the following methods: manually screening characters paragraph by paragraph, grouping and arranging characters in paragraphs, forming a character set and placing it above the text content, and randomly marking a color for each paragraph. This method uses manual screening of characters in the text, which has low efficiency but high accuracy, and can improve the efficiency by 80% compared with existing picture books when used with the software program of the present application.

[0075] Embodiment two:

[0076] The method of screening and arranging characters in the text includes the following methods:

[0077] Identify the content of the text paragraph by paragraph and discuss it by category.

[0078] If there are no quotation marks in the paragraph, search downwards;

[0079] If there are quotation marks in the paragraph, the content is divided into paragraphs according to the content before, during and after the quotation marks, and the content before and after the quotation marks is extracted. The content before and after each quotation mark is analyzed to determine whether it contains the surname.

[0080] If the surname is not included, search downwards.

[0081] If it contains a surname, extract the surname and the last one and two characters after the surname;

[0082] Extract the surname and the last character and two characters after the surname of each content before and after the quotation marks in turn, and store them in lists, namely list 1 and list 2;

[0083] Analyze the surnames in list 2 and the last two characters of the surnames to see if they can form a character phrase and their frequency of occurrence.

[0084] If a character phrase can be formed and the frequency of occurrence exceeds the user-set value, the character phrase is extracted and stored as list three.

[0085] Delete the character phrases in list one that have the same first two characters as those in list three;

[0086] In the above processing method, three-character characters can be separated from two-character characters to avoid repeated extraction.

[0087] After analyzing and processing, we determine whether the surnames and the characters after them in List 1 can form a character phrase and their frequency of occurrence.

[0088] If a character phrase can be formed and the frequency of occurrence reaches or exceeds the user-set value, the character phrase is extracted and the extracted character phrase is stored as a list four;

[0089] Combine List 3 and List 4 into List 5. The personas in List 5 are all the personas extracted by the software and can be reviewed manually.

[0090] List five is grouped and segmented to form a character set of the text, and the characters in each paragraph of the character set are randomly assigned marking colors, with each character in each paragraph having the same color.

[0091] This method searches for characters with fewer search statements and high efficiency.

[0092] Embodiment three:

[0093] The method of screening and arranging characters in the text includes the following methods:

[0094] Identify the text content paragraph by paragraph and determine whether it contains a surname.

[0095] If the paragraph does not contain the surname, search downwards;

[0096] If it contains a surname, extract the surname and the last one and two characters after the surname;

[0097] Extract the surname and the last character and two characters after the surname of each content before and after the quotation marks in turn, and store them in lists, namely list 1 and list 2;

[0098] Analyze the surnames in list 2 and the last two characters of the surnames to see if they can form a character phrase and their frequency of occurrence.

[0099] If a character phrase can be formed and the frequency of occurrence exceeds the user-set value, the character phrase is extracted and stored as list three.

[0100] Delete the character phrases in list one that have the same first two characters as those in list three;

[0101] In the above processing method, three-character characters can be separated from two-character characters to avoid repeated extraction.

[0102] After analyzing and processing, we determine whether the surnames and the characters after them in List 1 can form a character phrase and their frequency of occurrence.

[0103] If a character phrase can be formed and the frequency of occurrence reaches or exceeds the user-set value, the character phrase is extracted and the extracted character phrase is stored as a list four;

[0104] Combine List 3 and List 4 into List 5. Combine List 3 and List 4 into List 5. The characters in List 5 are all the characters extracted by the software and can be reviewed manually.

[0105] List five is grouped and segmented to form a character set of the text, and the characters in each paragraph of the character set are randomly assigned marking colors, with each character in each paragraph having the same color.

[0106] This method retrieves human characters, has many search statements, and has high analysis accuracy.

[0107] Embodiment 4:

[0108] The method of screening and arranging characters in the text includes the following methods:

[0109] Identify the text content paragraph by paragraph and determine whether it contains a surname.

[0110] If the paragraph does not contain the surname, search downwards;

[0111] If the surname is included, the surname and the last character and the last character after the surname are extracted to form a character phrase, and the extracted character phrases are sequentially stored as a list six;

[0112] After the content of the text is screened, the frequency of the character phrases in list 6 is counted.

[0113] If the frequency of occurrence of the character phrase in List 6 reaches or exceeds the user-set value, the character phrase is extracted, and the extracted character phrase is placed at the top of the text content as a character set. The frequency of occurrence of the character phrase and the character phrase itself are output to a new document for manual review.

[0114] This method is simple and convenient, and is more efficient in filtering character names.

[0115] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A picture book processing method, characterized in that: include: Process the text in a unified format; Filter and arrange the characters in the text, group them, divide them into sections and colors, and put them on top to form a character collection; Identify the content of the text paragraph by paragraph and discuss it by category. If there are no quotation marks in the paragraph, search downwards; If there are quotation marks in the paragraph, the content is divided into paragraphs according to the content before, during and after the quotation marks, and the content in the quotation marks is extracted; the target person in the paragraphs before and after the quotation marks is identified and extracted, and the extracted target person is searched and compared with the top character set line by line, and the content in the extracted quotation marks is marked with the same color according to the color of the line where the corresponding target person in the character set is located; The method of screening and arranging characters in the text includes the following methods: Identify the content of the text paragraph by paragraph and discuss it by category. If there are no quotation marks in the paragraph, search downwards; If there are quotation marks in the paragraph, the content is divided into paragraphs according to the content before, during and after the quotation marks, and the content before and after the quotation marks is extracted. The content before and after each quotation mark is analyzed to determine whether it contains the surname. If the surname is not included, search downwards. If it contains a surname, extract the surname and the last one and two characters after the surname; Extract the surname and the last character and two characters after the surname of each content before and after the quotation marks in turn, and store them in lists, namely list 1 and list 2; Analyze the surnames in list 2 and the last two characters of the surnames to see if they can form a character phrase and their frequency of occurrence. If a character phrase can be formed and the frequency of occurrence exceeds the user-set value, the character phrase is extracted and stored as list three. Delete the character phrases in list one that have the same first two characters as those in list three; After analyzing and processing, we determine whether the surnames and the characters after them in List 1 can form a character phrase and their frequency of occurrence. If a character phrase can be formed and the frequency of occurrence reaches or exceeds the user-set value, the character phrase is extracted and the extracted character phrase is stored as a list four; Combine List 3 and List 4 into List 5.

2. A picture book processing method according to claim 1, characterized in that: The step of identifying the content of the text paragraph by paragraph and discussing it by categories also includes: If there are quotation marks in the paragraph and the content in the quotation marks is a separate paragraph, the target person in the upper and lower paragraphs is screened, and the content in the quotation marks is marked with the color of the person set that is closest to the target person.

3. A picture book processing method according to claim 1 or 2, characterized in that: The step of identifying the content of the text paragraph by paragraph and discussing it by categories also includes: If there are quotation marks in the paragraph, and there is no target person in the content before or after the quotation marks, then screen upward and downward until the target person is found, and mark the corresponding content in the quotation marks with the color of the character set to which the target person belongs.

4. A picture book processing method according to claim 1, characterized in that: The method of screening and arranging characters in the text includes the following methods: The characters are manually screened paragraph by paragraph, grouped and arranged in paragraphs to form a character set and placed above the main text content, and each paragraph is randomly marked with a color.

5. A picture book processing method according to claim 1, characterized in that: The method of screening and arranging characters in the text includes the following methods: Identify the text content paragraph by paragraph and determine whether it contains a surname. If the paragraph does not contain the surname, search downwards; If it contains a surname, extract the surname and the last one and two characters after the surname; Extract the surname and the last character and two characters after the surname of each content before and after the quotation marks in turn, and store them in lists, namely list 1 and list 2; Analyze the surnames in list 2 and the last two characters of the surnames to see if they can form a character phrase and their frequency of occurrence. If a character phrase can be formed and the frequency of occurrence exceeds the user-set value, the character phrase is extracted and stored as list three. Delete the character phrases in list one that have the same first two characters as those in list three; After analyzing and processing, we determine whether the surnames and the characters after them in List 1 can form a character phrase and their frequency of occurrence. If a character phrase can be formed and the frequency of occurrence reaches or exceeds the user-set value, the character phrase is extracted and the extracted character phrase is stored as a list four; Combine List 3 and List 4 into List 5.

6. A picture book processing method according to claim 4 or 5, characterized in that: List five is grouped and segmented to form a character set of the text, and the characters in each paragraph of the character set are randomly assigned marking colors, with each character in each paragraph having the same color.

7. A picture book processing method according to claim 1, characterized in that: The method of screening and arranging characters in the text includes the following methods: Identify the text content paragraph by paragraph and determine whether it contains a surname. If the paragraph does not contain the surname, search downwards; If the surname is included, the surname and the last character and the last character after the surname are extracted to form a character phrase, and the extracted character phrases are sequentially stored as a list six; After the content of the text is screened, the frequency of the character phrases in list 6 is counted. If the frequency of occurrence of the character phrases in List 6 reaches or exceeds the user-set value, the character phrases are extracted, and the extracted character phrases are placed at the top of the text content as a character set. The frequency of occurrence of the character phrases and the character phrases themselves are output to a new document for manual review.

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