CN112434137A - Poetry retrieval method and system based on artificial intelligence - Google Patents
Poetry retrieval method and system based on artificial intelligence Download PDFInfo
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Abstract
The invention discloses a poetry retrieval method and a system based on artificial intelligence, wherein, firstly, a sentence input by a user is received, and the sentence input by the user is split through a pause word list to obtain each word in the sentence; secondly, the characters of the ancient poetry corresponding to each word are respectively searched out from a paraphrase database; then establishing a retrieval formula according to the characters of the ancient poems; and finally, searching a corresponding poem in a poem database according to the search logic and the limit, wherein the poem database is used for storing poems and displaying the poems in which the searched poems are located to the user. The method and the device split the words of the sentence input by the user, search each word for the character used in the corresponding ancient poetry, construct a search formula according to the searched character, and search the ancient poetry in the database according to the logic and the limitation of the search formula, so that the accuracy of the searched ancient poetry can be increased.
Description
Technical Field
The invention relates to the field of poetry retrieval, in particular to a poetry retrieval method and system based on artificial intelligence.
Background
When retrieval is carried out on poems at present, two retrieval modes are available, wherein the first mode is keyword retrieval, and the other mode is semantic retrieval. When the keyword retrieval is used, the corresponding poetry can be accurately retrieved only by inputting the exact words in the poetry, for example, inputting the ancient track western style thin horse, so that the poetry ' Tianjing sha & Qins ' where the poetry is located can be accurately found, the whole text of the poetry is displayed, and if the input words are wrongly input, the corresponding poetry cannot be found, for example, inputting the ancient track western style rancid horse ', the corresponding poetry ' Tianjing sha & Qins ' cannot be found, so that the requirement on the user is higher. Therefore, a second mode of using semantic retrieval is introduced at present, that is, a semantic explanation of a certain verse is input, so that the verse and a whole verse corresponding to the verse can be correspondingly obtained, for example, "tautahuanghe rushes towards the sea suddenly, the correct verse is" yellow river entering sea current ", but during semantic retrieval, a keyword" river sea "is extracted, and then the corresponding verse is found according to the keyword yellow river, so that the obtained results are very many, and compared with the accuracy of the correct verse, a user needs to read a large number of the searched verses to obtain a desired sentence.
Disclosure of Invention
The invention aims to overcome the problems in the prior art and provide a poetry retrieval method and a poetry retrieval system based on artificial intelligence.
Therefore, the invention provides a poetry retrieval method based on artificial intelligence, which comprises the following steps:
firstly, receiving a sentence input by a user, and splitting the sentence input by the user through a pause word list to obtain each word in the sentence;
secondly, the characters of the ancient poetry corresponding to each word are respectively searched out from a paraphrase database, and the paraphrase database is used for storing the characters of the ancient poetry and the explanation words corresponding to the characters;
thirdly, establishing a retrieval formula according to the characters of the ancient poems;
fourthly, searching corresponding poetry sentences in a poetry database according to the search logic and the limit, and displaying the poetry where the searched poetry sentences are located to the user, wherein the poetry database is used for storing poetry.
Further, when the search formula is constructed, the method comprises the following steps:
firstly, establishing a plurality of unit formulas according to the number of each word in the obtained sentence, wherein each word corresponds to one unit formula;
secondly, filling the characters of the ancient poetry corresponding to each word into the unit formula corresponding to the word in sequence, and using or logic between every two characters of the ancient poetry filled in the unit formula;
thirdly, arranging the unit formulas of the filled ancient poems in sequence, and respectively using AND logic between every two unit formulas to obtain the retrieval formula.
Further, before constructing the search formula, the method comprises the following steps:
firstly, receiving the number of words input by a user, wherein the number of words is the number of words of a poetry sentence corresponding to a sentence input by the user;
and secondly, sequentially obtaining the category of each word in the sentence, and sequentially deleting the words according to a set category sequence, so that the number of the remaining words is equal to the number of words input by the user.
Further, when poetry is displayed to a user, the searched poetry sentences are marked in the displayed poetry by using a special display mode.
Compared with the poetry method based on artificial intelligence, the invention also provides a poetry retrieval system based on artificial intelligence, which is suitable for the poetry method based on artificial intelligence, and particularly, the poetry retrieval based on artificial intelligence provided by the invention comprises the following steps: the system comprises a sentence input module, a word splitting module, a character determining module, a paraphrase database, a search type establishing module and a poetry output module.
The sentence input module is used for receiving a sentence input by a user;
the word splitting module is used for splitting the sentences input by the user through the pause word list to obtain all words in the sentences;
the character determining module is used for respectively searching out the characters of the ancient poetry corresponding to each word from the paraphrase database;
the paraphrase database is used for storing the characters of the ancient poetry and the corresponding explanation words;
the retrieval type establishing module is used for establishing a retrieval type according to the characters of the found ancient poems;
and the poetry output module is used for searching a corresponding poetry sentence in a poetry database according to the searched logic and the limit, displaying the poetry where the searched poetry sentence is located to a user, and the poetry database is used for storing poetry.
Further, the searching establishing module comprises: the device comprises a framework building module, a content filling module and a retrieval type output module.
The frame building module is used for building a plurality of unit formulas according to the number of each word in the obtained sentence, and each word corresponds to one unit formula;
the content filling module is used for sequentially filling the characters of the ancient poetry corresponding to each word into the unit formula corresponding to the word, and the characters of the ancient poetry filled in the unit formula are used or logically arranged in pairs;
and the retrieval type output module is used for sequentially arranging the unit types of the filled ancient poems, and the unit types are respectively used and logically between every two units to obtain the retrieval type.
Still further, the method further comprises: a word number input module and a word number matching module.
The word number input module is used for receiving the word number input by the user, wherein the word number is the word number of the poetry sentence corresponding to the sentence input by the user;
and the word number matching module is used for sequentially obtaining the category of each word in the sentence, sequentially deleting the words according to a set category sequence to ensure that the number of the rest words is equal to the word number input by the user, and then executing the frame building module.
Furthermore, when the poetry output module displays the poetry to the user, the searched poetry sentences are marked in the displayed poetry by using a special display mode.
Further, the special display is a color mark or a highlight.
The poetry retrieval method and the system based on artificial intelligence provided by the invention have the following beneficial effects:
1. the method and the device have the advantages that the words and phrases of the sentence input by the user are split, each split word and phrase is searched for the word used in the corresponding ancient poetry, a search formula is constructed according to the searched word and is searched in the database according to the logic and the limitation of the search formula, so that the accuracy of the searched ancient poetry is improved;
2. according to the method and the device, the number of words corresponding to the poetry of the input semantics is received by the user, so that the length of the retrieval formula is definitely required when the retrieval formula is constructed, the poetry obtained by retrieval can be more accurate, and the poetry full text required by the user can be quickly found.
Drawings
FIG. 1 is a schematic block diagram of the overall flow of a poetry retrieval method based on artificial intelligence provided by the present invention;
FIG. 2 is a schematic block diagram of a flow of a poetry retrieval method based on artificial intelligence when constructing a retrieval formula provided by the invention;
FIG. 3 is a schematic block diagram of a flow of a poetry retrieval method based on artificial intelligence, prior to the construction of a retrieval formula, according to the present invention;
FIG. 4 is a schematic block diagram of the overall system connection of a poetry retrieval system based on artificial intelligence provided by the present invention;
FIG. 5 is a schematic block diagram of a system connection of a retrieval type building module in a poetry retrieval system based on artificial intelligence according to the present invention;
fig. 6 is a schematic block diagram illustrating additional system connections of a retrieval type establishing module in a poetry retrieval system based on artificial intelligence provided by the invention.
Detailed Description
An embodiment of the present invention will be described in detail below with reference to the accompanying drawings, but it should be understood that the scope of the present invention is not limited to the embodiment.
In the present application, the type and structure of components that are not specified are all the prior art known to those skilled in the art, and those skilled in the art can set the components according to the needs of the actual situation, and the embodiments of the present application are not specifically limited.
Specifically, as shown in fig. 1, an embodiment of the present invention provides a poetry retrieval method based on artificial intelligence, including the following steps:
firstly, receiving a sentence input by a user, and splitting the sentence input by the user through a pause word list to obtain each word in the sentence; in this step, the entry of the user may be accepted by using a text box, and meanwhile, the statement entered by the user is a complete semantic explanation of the verse or the verse described by the user, at this time, the statement entered by the user is split by using the stop word list, so as to obtain each term, for example, the verse to be searched by the user is "takou sea current", the entered statement is "takou tahuanghe surging towards the sea", and the statements entered by the user are split by using the stop word list, so as to obtain the terms "tauten", "yellow", "river", "towards", "sea", "turbulent", and "rushing", respectively.
Secondly, the characters of the ancient poetry corresponding to each word are respectively searched out from a paraphrase database, and the paraphrase database is used for storing the characters of the ancient poetry and the explanation words corresponding to the characters; in this step, the corresponding ancient poetry words are found in the paraphrase database, respectively, and according to the above examples, the ancient poetry words corresponding to "tauto", "yellow", "river", "toward", "sea", "rough" and "rushing" respectively, and "tauto", "yellow", "river", "in, toward", "sea", "rough, rushing, and" rushing, flowing "respectively.
Thirdly, establishing a retrieval formula according to the characters of the ancient poems; the logical search formula is established according to the relation between the characters of each ancient poetry, and is established through logic of AND or, and in the invention, and is used as logic, or is used as logic, and non-logic is used as "not", so that in the above example, the established search formula can be as follows: (tauo) or (yellow) or (river) or (in or towards) or (sea) or (turbulent or shove) and (running or flow).
Fourthly, searching a corresponding poetry in a poetry database according to the search logic and the limit, and displaying the poetry where the searched poetry is located to a user, wherein the poetry database is used for storing poetry; the step searches poems in a poetry database by using the above search method, displays the poems which best meet the result and contain the poems to the user in sequence from top to bottom, and displays the poems which contain the most poems of "taurul", "yellow", "river", "in, heading", "sea", "rough, gush, fierce" and "rushing, rushing" to the user, so that the poems displayed in the first row are "yellow river entering sea current", thereby accurately finding the poems which the user wants to search.
In this embodiment, when constructing the search formula, as shown in fig. 2, the method includes the following steps:
firstly, establishing a plurality of unit formulas according to the number of each word in the obtained sentence, wherein each word corresponds to one unit formula; this step establishes a plurality of retrieval unit formulas according to the number of words of the verse, each of the words corresponds to one of the unit formulas, and in the above example, "tauc", "yellow", "river", "toward", "sea", "rough" and "rushing" correspond to one unit formula, respectively, that is, "yellow" corresponds to a unit formula of "yellow", "river" corresponds to a unit formula of "river", "toward" corresponds to a unit formula of "entrance toward or", and the like.
Secondly, filling the characters of the ancient poetry corresponding to each word into the unit formula corresponding to the word in sequence, and using or logic between every two characters of the ancient poetry filled in the unit formula; in this step, the logic further arranges the unit formulas in a plurality of ways, each way of arrangement establishes a search formula, and in the above example, the search formula includes: (tauo) or (yellow) or (river) or (inward toward) or (sea) or (turbulent or surging) and (running or flow), (yellow) or (turbulent or surging) and (running or flow), (tauo) or (yellow) or (inward toward) or (sea) or (turbulent or surging) and (running or flow), (yellow) or (inward toward) or (sea) and (running or flow), (yellow) or (river) or (inward toward) or (sea) and (running or flow), etc.
Thirdly, sequentially arranging unit formulas of the filled ancient poems, and respectively using AND logic between every two unit formulas to obtain the retrieval formula; in the step, more than one retrieval formula is established by the method, the results obtained by each retrieval formula are sequentially displayed, and poems with the most appeared retrieval results are displayed at the top, so that the correct poems 'yellow river incoming ocean currents' can still be displayed at the top.
Through the steps, the retrieval result can be more accurate, and the poems in the first line can be displayed.
Meanwhile, in the present embodiment, before constructing the index, as shown in fig. 3, the following steps are included:
firstly, receiving the number of words input by a user, wherein the number of words is the number of words of a poetry sentence corresponding to a sentence input by the user; in this step, the number of words entered by the user is received, so that the number of words is the number of words of the poetry corresponding to the sentence entered by the user, and thus, only a small number of search formulas are established, so that the search formulas to be expressed are more accurate, in the above example, when the user enters the poetry "yellow river ocean current", the number of words entered by the user is "5".
Secondly, sequentially obtaining the category of each word in the sentence, and sequentially deleting the words according to a set category sequence to ensure that the number of the remaining words is equal to the number of words input by a user; thus, the unit formulas in each search formula are five, and the search formulas are sequentially sorted, and when in sorting, the search formulas comprise: yellow or (river) or (entering or facing) or (sea) and (running or flow).
In this embodiment, when poetry is displayed to a user, the searched poetry is marked in the displayed poetry by using a special display mode. The special display means that a user can see the poetry sentence represented by the belonged sentence and the position of the poetry sentence in the poetry at a glance, and the page number display modes comprise display of inconsistent fonts, underline display, highlight display, display of color marks and the like.
Compared with the poetry method based on artificial intelligence, the invention also provides a poetry retrieval system based on artificial intelligence, which is suitable for the poetry method based on artificial intelligence, and particularly, as shown in fig. 4, the poetry retrieval based on artificial intelligence provided by the invention comprises the following steps: the system comprises a sentence input module, a word splitting module, a character determining module, a paraphrase database, a search type establishing module and a poetry output module. The following is a description of the functions of the respective modules.
The sentence input module is used for receiving a sentence input by a user; the module may accept the user's entry using a text box entry.
The word splitting module is used for splitting the sentences input by the user through the pause word list to obtain all words in the sentences; in the module, the sentence input by the user is a poem described by the user or a comprehensive semantic explanation of the poem, and at the moment, the sentence input by the user is split by using the pause word list, so that each word is obtained.
The character determining module is used for respectively searching out the characters of the ancient poetry corresponding to each word from the paraphrase database; the module searches the corresponding ancient poetry characters in the paraphrase database.
The paraphrase database is used for storing the characters of the ancient poetry and the corresponding explanation words; when storing, the storage can be performed in a list manner.
The retrieval type establishing module is used for establishing a retrieval type according to the characters of the found ancient poems; the module establishes a logic retrieval formula according to the relation between the characters of each ancient poetry, and establishes the logic retrieval formula through AND or not.
The poetry output module is used for searching a corresponding poetry sentence in a poetry database according to the searched logic and the limit, and displaying the poetry where the searched poetry sentence is located to a user, wherein the poetry database is used for storing poetry; the module searches poems in a poem database by using the search mode, and displays the poems which most accord with the result and contain the poems to the user in sequence from top to bottom.
In this embodiment, as shown in fig. 5, the search type establishing module includes: the device comprises a framework building module, a content filling module and a retrieval type output module. The following is a description of the functions of the respective modules.
The frame building module is used for building a plurality of unit formulas according to the number of each word in the obtained sentence, and each word corresponds to one unit formula; the module establishes a plurality of retrieval unit formulas according to the word number of the poetry sentence, and each word corresponds to one unit formula respectively.
The content filling module is used for sequentially filling the characters of the ancient poetry corresponding to each word into the unit formula corresponding to the word, and the characters of the ancient poetry filled in the unit formula are used or logically arranged in pairs; in the module, the logic arranges the unit formulas in various ways, and each arrangement way establishes a search formula.
The retrieval type output module is used for sequentially arranging the unit types of the filled ancient poems and respectively using AND logic between every two unit types to obtain the retrieval type; in the module, more than one retrieval formula is established by the method, the result obtained by each retrieval formula is displayed in sequence, and the poems with the most retrieval results are displayed at the top.
Meanwhile, in this embodiment, as shown in fig. 6, before the retrieval formula is established, the above framework building module is executed, and the poetry retrieval system based on artificial intelligence provided by the present invention further includes: a word number input module and a word number matching module. The following is a description of the functions of the respective modules.
The word number input module is used for receiving the word number input by the user, wherein the word number is the word number of the poetry sentence corresponding to the sentence input by the user; in the module, the number of words input by a user is received, so that the number of words is the number of words of a poetry sentence corresponding to a sentence input by the user, and thus, only a small number of search formulas are established, and the search formulas are more accurate to express.
The word number matching module is used for sequentially obtaining the category of each word in the sentence, sequentially deleting the words according to a set category sequence to enable the number of the remaining words to be equal to the word number input by a user, and then executing the frame building module; the module enables the unit formulas in each search formula to be a set number, and the unit formulas are sequentially sequenced.
In this embodiment, when the poetry output module displays the poetry to the user, the searched poetry is marked in the displayed poetry by using a special display mode. The special display means that a user can see the poetry sentence represented by the belonged sentence and the position of the poetry sentence in the poetry at a glance, and the page number display modes comprise display of inconsistent fonts, underline display, highlight display, display of color marks and the like.
Meanwhile, in the present embodiment, the special display is a color mark or a highlight. Both of these ways make it easier for the user to view.
The above disclosure is only for a few specific embodiments of the present invention, however, the present invention is not limited to the above embodiments, and any variations that can be made by those skilled in the art are intended to fall within the scope of the present invention.
Claims (9)
1. A poetry retrieval method based on artificial intelligence is characterized by comprising the following steps:
receiving a sentence input by a user, and splitting the sentence input by the user through a pause word list to obtain each word in the sentence;
respectively finding out the characters of the ancient poetry corresponding to each word from a paraphrase database, wherein the paraphrase database is used for storing the characters of the ancient poetry and the explanation words corresponding to the characters;
establishing a retrieval formula according to the characters of the ancient poems;
and searching a corresponding poem in a poem database according to the search logic and the limit, and displaying the poem where the searched poem is located to a user, wherein the poem database is used for storing poems.
2. The poetry retrieval method based on artificial intelligence as claimed in claim 1, characterized in that, when constructing the retrieval formula, the following steps are included:
establishing a plurality of unit formulas according to the number of each word in the obtained sentence, wherein each word corresponds to one unit formula;
respectively and sequentially filling the characters of the ancient poetry corresponding to each word into the unit formula corresponding to the word, wherein every two characters of the ancient poetry filled in the unit formula are respectively used or logically;
and sequentially arranging the unit formulas of the filled ancient poems, and respectively using and logic between every two unit formulas to obtain the retrieval formula.
3. The artificial intelligence based poetry retrieval method as claimed in claim 2, characterized in that before constructing the retrieval formula, the following steps are included:
receiving the number of words input by a user, wherein the number of words is the number of words of a poetry sentence corresponding to a sentence input by the user;
and sequentially obtaining the category of each word in the sentence, and sequentially deleting the words according to a set category sequence, so that the number of the remaining words is equal to the number of words input by a user.
4. The poetry retrieval method based on artificial intelligence as claimed in claim 1, wherein when poetry is displayed to a user, the found poetry is marked in the displayed poetry by using a special display mode.
5. A poetry retrieval system based on artificial intelligence is characterized by comprising:
the sentence input module is used for receiving a sentence input by a user;
the word splitting module is used for splitting the sentences input by the user through the pause word list to obtain all words in the sentences;
the character determining module is used for respectively searching out the characters of the ancient poetry corresponding to each word from the paraphrase database;
the paraphrase database is used for storing the characters of the ancient poetry and the corresponding explanation words;
the retrieval type establishing module is used for establishing a retrieval type according to the characters of the found ancient poems;
and the poetry output module is used for searching a corresponding poetry sentence in a poetry database according to the searched logic and the limit, displaying the poetry where the searched poetry sentence is located to a user, and the poetry database is used for storing poetry.
6. The artificial intelligence based poetry retrieval system of claim 5, wherein the retrievable creation module comprises: .
The frame building module is used for building a plurality of unit formulas according to the number of each word in the obtained sentence, and each word corresponds to one unit formula;
the content filling module is used for sequentially filling the characters of the ancient poetry corresponding to each word into the unit formula corresponding to the word, and the characters of the ancient poetry filled in the unit formula are used or logically arranged in pairs;
and the retrieval type output module is used for sequentially arranging the unit types of the filled ancient poems, and the unit types are respectively used and logically between every two units to obtain the retrieval type.
7. The poetry retrieval system based on artificial intelligence as recited in claim 6, further comprising:
the word number input module is used for receiving the word number input by the user, wherein the word number is the word number of the poetry sentence corresponding to the sentence input by the user;
and the word number matching module is used for sequentially obtaining the category of each word in the sentence, sequentially deleting the words according to a set category sequence to ensure that the number of the rest words is equal to the word number input by the user, and then executing the frame building module.
8. The poetry retrieval system based on artificial intelligence as claimed in claim 5, wherein said poetry output module marks the found poetry in the displayed poetry in a special display manner when the poetry is displayed to the user.
9. The artificial intelligence based poetry retrieval system of claim 8, wherein the special display is a color marking or highlighting.
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Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102385596A (en) * | 2010-09-03 | 2012-03-21 | 腾讯科技（深圳）有限公司 | Verse searching method and device |
| CN105243065A (en) * | 2014-06-24 | 2016-01-13 | 中兴通讯股份有限公司 | Material information output method and system |
| CN106528846A (en) * | 2016-11-21 | 2017-03-22 | 广州华多网络科技有限公司 | Retrieval method and device |
| CN107480162A (en) * | 2017-06-15 | 2017-12-15 | 北京百度网讯科技有限公司 | Searching method, device, equipment and computer-readable recording medium based on artificial intelligence |
| CN108052659A (en) * | 2017-12-28 | 2018-05-18 | 北京百度网讯科技有限公司 | Searching method, device and electronic equipment based on artificial intelligence |
| CN109086285A (en) * | 2017-06-14 | 2018-12-25 | 佛山辞荟源信息科技有限公司 | Chinese intelligent processing method and system and device based on morpheme |
| CN109766013A (en) * | 2018-12-28 | 2019-05-17 | 北京金山安全软件有限公司 | Poetry sentence input recommendation method and device and electronic equipment |
| CN110109924A (en) * | 2019-04-23 | 2019-08-09 | 重庆紫光华山智安科技有限公司 | Search method and device |
| CN110134846A (en) * | 2019-04-18 | 2019-08-16 | 深圳壹账通智能科技有限公司 | Proper noun processing method, device and the computer equipment of text |
| CN111897958A (en) * | 2020-07-16 | 2020-11-06 | 邓桦 | Ancient poetry classification method based on natural language processing |
| CN111898339A (en) * | 2020-07-28 | 2020-11-06 | 中国平安人寿保险股份有限公司 | Ancient poetry generation method, device, equipment and medium based on constraint decoding |
-
2020
- 2020-12-11 CN CN202011461745.XA patent/CN112434137B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102385596A (en) * | 2010-09-03 | 2012-03-21 | 腾讯科技（深圳）有限公司 | Verse searching method and device |
| CN105243065A (en) * | 2014-06-24 | 2016-01-13 | 中兴通讯股份有限公司 | Material information output method and system |
| CN106528846A (en) * | 2016-11-21 | 2017-03-22 | 广州华多网络科技有限公司 | Retrieval method and device |
| CN109086285A (en) * | 2017-06-14 | 2018-12-25 | 佛山辞荟源信息科技有限公司 | Chinese intelligent processing method and system and device based on morpheme |
| CN107480162A (en) * | 2017-06-15 | 2017-12-15 | 北京百度网讯科技有限公司 | Searching method, device, equipment and computer-readable recording medium based on artificial intelligence |
| CN108052659A (en) * | 2017-12-28 | 2018-05-18 | 北京百度网讯科技有限公司 | Searching method, device and electronic equipment based on artificial intelligence |
| CN109766013A (en) * | 2018-12-28 | 2019-05-17 | 北京金山安全软件有限公司 | Poetry sentence input recommendation method and device and electronic equipment |
| CN110134846A (en) * | 2019-04-18 | 2019-08-16 | 深圳壹账通智能科技有限公司 | Proper noun processing method, device and the computer equipment of text |
| CN110109924A (en) * | 2019-04-23 | 2019-08-09 | 重庆紫光华山智安科技有限公司 | Search method and device |
| CN111897958A (en) * | 2020-07-16 | 2020-11-06 | 邓桦 | Ancient poetry classification method based on natural language processing |
| CN111898339A (en) * | 2020-07-28 | 2020-11-06 | 中国平安人寿保险股份有限公司 | Ancient poetry generation method, device, equipment and medium based on constraint decoding |
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