# A Comparative Optimization Model of Japanese Literature Characteristics for Cognitive Retrieval of Cross-Language Information

Authors: Tao Feng
Journal: Computational Intelligence and Neuroscience
 (2022)

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## Abstract

Cross-language information cognitive retrieval has grown in importance as a study area due to the multilingual character of Internet resources and the diversifying languages spoken by users. This paper analyses and illustrates the key characteristics of Japanese literature from three aspects: ideological structure, structural form, and emotional expression, and makes a straightforward comparison with Chinese literature using a number of well-known Japanese literary masterpieces as examples. An important aspect of this literature is that it is full of lingering feelings, leaving room for the readers to imagine. The lingering charm is endless, obscure, and meaningful, which is the traditional style of Japanese literature. It also focuses on the depoliticization of Japanese literature, that is, the relative separation between literature and politics. The subjectivity of Japanese writing, which goes beyond just conveying feelings but involves less objective description, is related to this. The process of cross-language information retrieval in foreign nations is primarily separated into three stages, according to the changes in research objects. Currently, adding a language conversion mechanism to a monolingual information retrieval system serves as the primary language information retrieval solution. Currently, nearly 40% of the global popularity of literature comes from Japan. In this article, the background and concept of cross-language information retrieval are introduced, and its types, system models, and several key cross-language information retrieval methods are explained, and some solutions to the factors influencing the cross-language information retrieval effect are suggested.


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## Body

## 1. Introduction

The traditional information retrieval system is mainly aimed at searching documents in a single language, and when users query, they use the most familiar language to construct retrieval questions. The information age has produced a lot of digital information, among which, text information is the most basic and commonly used form. In order to find their own needs in the vast amount of text information, people urgently need an efficient retrieval tool. How to efficiently store and query unstructured data such as text is a problem worth studying. Among them, full-text retrieval technology and full-text database technology have become the research focus of scholars at home and abroad [1]. Japanese literature has a history of more than 1,300 years since its first work, Ancient Stories. From the oral literature such as ballads that appeared before The Chronicles of the Ancient, the history is even longer. In the past 1300 years, Japanese literature has experienced both a downturn in which excellent works are scarce and the literary world is declining, and a boom in which excellent works are frequent and the literary world is at its peak. The watershed in the history of Japanese literature is about the 5th century AD. Ecological destruction did not start in the 20th century, but its aggravation started in the 20th century. Since the second half of the 20th century, with the rapid development of social economy, environmental pollution and ecological damage have become more and more serious worldwide. Soil erosion, landslides, land desertification, the increase of saline-alkali land, global warming, seawater pollution, groundwater depletion, waste flooding, ozone hole, etc., have made the environment deteriorating. The unscientific and unlimited economic development activities of human beings have become the main reason for the continuous deterioration of the ecological environment, and the living environment of human beings has fallen into a dangerous situation. With the globalization of informatization, the information resources provided by the Internet are no longer concentrated in a few languages such as English. At the same time, the proportion of non-English-speaking Internet users is also increasing rapidly. According to the forecast, by 2005, non-English-speaking Internet users will increase to 68% of the total number of users, among which Chinese-speaking users have the fastest growth rate, accounting for about 21% of the total number of users, while other non-English-speaking languages have also increased to varying degrees. For most users who are not proficient in foreign languages, it is difficult to skillfully use foreign language queries, while using native language query conditions to retrieve relevant foreign language information. It is an important feature of national literature [2].Japanese literary works will reflect the social life, customs, cultural traditions, psychological state, and language features of the Japanese nation, and have the characteristics of Japanese archipelago. The interpretation of Japanese literary works is helpful to understand the living conditions and customs of the Japanese society. The cross-language information retrieval system’s objective is to retrieve documents pertinent to the query criteria from a document set other than the language of the user’s query criteria. A Lotn’s cross-language retrieval study on English-German and English-French-German from the 1970s is where the earliest cross-language information retrieval can be found. The topic of cross-language information retrieval has made significant advancements after decades of relentless investigation by scholars in related domains. In an effort to serve as a resource for other researchers who might be interested, this work conducts a thorough analysis of the cross-language information retrieval technology [3].The corresponding research is completed in this essay. Models and formulas are developed to explore cross-language information retrieval in research. A related data map is created to assess Japanese literature in accordance with the qualities being studied. The main contributions of this paper are as follows:(1)
In the article, the argument method is used to further explain it.(2)
The contribution of this paper is to use the multimode teaching method to further understand college English and other related contents.(3)
In the article, we use the method of multiple evidences to analyze and understand it.The rest of this paper is arranged: the second part introduces the related work to make corresponding research and analysis. The third part makes corresponding research and analysis on cross-language information exploration. The fourth part studies and analyzes the characteristics of Japanese literature and establishes the corresponding data map.


## 2. Related Work

With the rapid expansion of the number and scope of Internet users, the languages they have mastered are beginning to show diversification. Because of the diversity of the languages of network resources and the differences of languages mastered by network users, it inevitably brings language barriers to people’s information retrieval through the network. For example, more than 90% of the information in the network is in English, while only about 40% of the network users use English, which brings great inconvenience to users in non-English-speaking countries. With the introduction of Chinese characters, Japanese literature began.Enter the prosperous period of written records. With the large-scale spread of Chinese books in Japan, Chinese Buddhism and Confucianism are also influencing the development of Japanese literature in a subtle way.In the research, Oard et al. believe that the selected intermediate language should be a language that is easy to be automatically processed by computers, such as English [4]. This method is often used in cross-language information retrieval of more than two languages or cross-language information retrieval without direct corresponding conversion between two languages (for example, German and Italian). The process of this method is to convert the questioning language into the intermediate language, and then convert the intermediate language into the target language, or to convert both the questioning language and the target language into an intermediate language. Nie believes that “natural literature” is biased towards realistic works, and its “nonfiction limitation in genre excludes works that reflect ecological crisis in novels, dramas, poems, and other fields, which cannot cover the current situation of literary creation in the new period. At the same time, there is also the danger of leading this literary trend to realistic reportage, which will lead to the dissolution of the artistic depth of the works” [5]. Ning and Lin think that “natural writing” is too narrow for writing objects. The term is too broad in terms of ideology and subject matter [6]. As long as it is written about nature, it includes nonecological or even antiecological works. Moreover, “natural writing” refers to all writing that takes nature as its object. Broadly speaking, it does not only refer to literary works but also popular science books, reference books, and works on philosophy, natural history, politics, religious studies, cultural criticism, etc., which greatly exceeds the scope of literary studies. Chaware and Rao think that it is impossible for socialist countries to produce public hazards. However, it was only after the comparison that “suddenly I saw the seriousness of China’s environmental problems. The pollution degree of China’s cities and rivers is no less than that of western countries, but the degree of natural ecological destruction is far above that of western countries” [7]. Zhou et al., lawless believe that literature, as an art, is best not to be close to reality. Only when it is divorced from reality can it have an artistic interest. Moreover, the general tendency of Japanese art is to look for the unfamiliarity, elegance, and symbolic beauty in places divorced from reality [8]. Ma put forward a cross-language information retrieval technology [9]. Sion uses artificially coded translation knowledge and crosses language barriers through questioning translation strategies. Andreea put forward some unavoidable ecological and environmental problems such as air pollution, pesticides, and fertilizers, pointed out the seriousness of public hazards, and sternly condemned the producers of public hazards. With a unique color of ecological philosophy, the works show a new awakening and pursuit full of ethical judgment and philosophical thinking [10]. Sherif and Ann put forward some unavoidable ecological and environmental problems, such as air pollution, pesticides, and fertilizers, pointed out the seriousness of public hazards, and sternly condemned the producers of public hazards. With a unique color of ecological philosophy, the works show a new awakening and pursuit full of ethical judgment and philosophical thinking [11].


## 3. Cross-Language Information Retrieval

### 3.1. Cross-Language Information Retrieval Development and Research

Online information resources are expanding daily, thanks to the growth of the Internet. They are no longer just limited to few languages, such as English and Chinese, and the number of resources available in other languages is also growing significantly. It is more and more common for users to query a multilingual text collection. However, most users cannot skillfully use foreign languages to clearly describe queries and correctly express their needs. If you can use your mother tongue to construct the search questions, retrieve useful information from multilingual information sets, and then browse with the help of translation tools, and the recall rate of users can be greatly improved. Documents in at least two different languages are involved in cross-language information retrieval. It cannot be separated from the “translation” process because it is important to first ascertain the language, form, and coding scheme of the documents before automatically analysing and indexing them and then realising retrieval matching. The major issue with cross-language information retrieval technology is “translation,” and there are four approaches to approach it. In the late 1990s, as the Internet expanded quickly, cross-language information retrieval research truly picked up steam and produced results. The globe saw the publication of numerous relevant studies, and several experimental linguistic information retrieval methods appeared one after another. Cross-language information retrieval research has advanced significantly with the quick development of the Internet and computer technology. In recent years, many related papers have been published and some conferences on cross-language information retrieval technology have been held at home and abroad [12, 13]. Traditional information retrieval systems are evaluated in a standardized laboratory environment to compare the retrieval performance of retrieval systems or retrieval technologies. However, the early test document sets are usually small, and there is a big gap between them and the real retrieval environment. Therefore, the retrieval system based on such test sets cannot achieve good performance in practical application. Cross-language information retrieval means that the user constructs a retrieval question in a certain language he has mastered, and the computer automatically searches the information in other different languages (including text, voice, and images) according to the user’s retrieval requirements, and the retrieved results can even be translated into the language specified by the user. Multilingualism is one of the characteristics of the Internet world. According to the statistics of ETHNO-LOGUE in 1995, there are as many as 5,703 languages in the world. According to the research of other scholars, there are currently 160 languages of information on the Internet. Since the beginning of the search guide, adding support for multiple languages has been one of the secrets to triumphing in the harsh competition. The discipline of multilanguages has conducted much research on cross-language information retrieval systems over the past ten years. Experts from all around the world have started to focus their attention on the study of the Chinese cross-language information retrieval system in recent years. Figures 1 and 2 illustrate how the research’s associated model diagrams are set up to analyse and investigate them.Figure 1
Cross-language information model diagram.Figure 2
Cross-language information retrieval framework.MulEnex system, developed in 1997 by the Artificial Intelligence research center of German language and technology research office, is the first cross-language network information retrieval system in the world, which successfully uses cross-language automatic translation technology, so that people can use their own language to effectively obtain information of other languages on the Internet. The system model of cross-language information retrieval mainly includes several functions and modules, such as document preprocessing, constructing retrieval questions, matching, selecting, checking, and transmitting [14, 15]. Literature preprocessing, that is, firstly identifying the language and various forms of literature. According to its research, the corresponding data tables are established to analyze and understand it, such as Tables 1 and 2.Table 1
Cross-language information data table (1).
TypeDataProportionCzech2567Maori8657Mrgvlovani4257Table 2
Cross-language information data table (2).
TypeDataProportionFinnish6492Somali6334Dansk8376The questioning matching, homologous matching, document translation, and interlanguage conversion technology are the four ways that the cross-language information retrieval system uses to match users’ queries and index information. The selection and check functions of the information retrieval system’s user interface will provide pertinent feedback to the user’s retrieval needs in order to increase recall and precision. The search is finished when the user receives the search results from the system. Cross-language information retrieval technology has received attention and has been applied to international online retrieval in an effort to raise the standard of retrieval on the global web and enable users to access and interpret foreign literature information sources.


### 3.2. Analysis and Research of Cross-Language Information Retrieval Methods

Documents in at least two different languages are involved in cross-language information retrieval. It cannot be separated from the “translation” process because it is important to first ascertain the language, form, and coding scheme of the documents before automatically analysing and indexing them and then realising retrieval matching. The major issue with cross-language information retrieval technology is “translation,” and there are four approaches to approach it. Without any translation, homologous matching evaluates a word’s meaning in one language based on how closely two words are spelled or pronounced [16, 17]. The selection of literature is based on the concept marks being matched in the controlled vocabulary cross-language information retrieval system, which typically uses a multilingual thesaurus to determine the correspondence between the index words of each language supported by the system and a set of universal language-independent concept marks. This method translates the questions input by the user into other languages supported by the system, and then carries out single-language retrieval. Questioning translation strategy is the most commonly used strategy at present. Most researchers use this strategy to conduct CLIR research and experiments, and put forward a variety of specific methods to translate questioning. Generally speaking, there are three different technical routes to solve the language barrier between query conditions and query document sets, which can translate query conditions into the same language as query document sets or query document sets into the same language as query conditions. With the rapid growth of network information resources, the cross-language information retrieval of controlled vocabulary cannot meet the information needs of students more and more; so, the research of cross-language information retrieval of free text appears. These words are uncontrolled words, which can be directly used by users during retrieval without manual indexing. Because the freedom of the search words used in the cross-language information retrieval of free texts is large and uncontrolled, the vocabulary differences easily lead to low retrieval efficiency. Interlanguage technology translates questions and documents into a unified interlanguage (also called a third-party language). Because every word in the controlled vocabulary corresponds to a concept, by giving each concept a language-independent logo, the corresponding relationship between words in different languages in the controlled vocabulary can be established. The controlled word list method requires that the query words input by users are words from the controlled word list, and the words used in indexing literature are also from the controlled word list, so that the concept identification can be used as a bridge to realize CLIR. According to the research, the corresponding algorithm formulas are established to analyze and explain them, such as formulas (1)–(5).(1)1+1N−+1sgnx,(2)φ⋅111′−1⋅1′,π1γ,(3)0⊢x1+k′l⊢1−Hn,(4)−ul∅1Γb=rank1,(5)l−cc+2τ⊢πⅈJl¯2111x−H1.In language information retrieval, translation between two languages is the best way to solve the language barrier. However, all translation methods are inseparable from machine translation, bilingual dictionaries, and corpora. Controlled vocabulary retrieval means that the document collection is searched manually according to the preselected vocabulary, and the user also selects the vocabulary from the same controlled vocabulary to construct the query conditions, and then searches the documents. The information required for automatic analysis, translation, and production of natural language is contained in the machine translation dictionary-based method. The machine translation system can frequently give superior translation results, because this method makes advantage of the syntactic and semantic elements of the context to enhance translation quality, particularly for retrieval inquiries composed of lengthy and complete phrases or paragraphs. The main issue with cross-language information retrieval is translation uncertainty, which has a significant effect on retrieval effectiveness. Foreign academics pay great attention to it as a research hub, and the primary language resources used there are dictionaries, thesaurus, ontologies, corpora, etc. It is not necessary for CLIR to eliminate all translational ambiguities. If the system permits numerous translations for a word, then in conventional information retrieval, the ranking of retrieval results is influenced by the frequency with which the term appears in the inquiry formula. At the beginning of 1990s, a revolutionary thought emerged in the field of knowledge engineering in the method of building knowledge base, that is, the idea of building ontology and ontology engineering. The quality of translation resources has an important influence on the performance of cross-language information retrieval. Therefore, in the research of cross-language information retrieval, foreign scholars have made in-depth studies on the construction of translation resources and their comparison with each other. In ontology-based cross-language information retrieval, the main difference between this semantic level implementation and the traditional CLIR method is that in the process of cross-language conversion of queries, the dictionary or other methods are not blindly used for character level processing, but the keywords of queries are preliminarily distinguished, and the implied semantics of the contents in the ontology library can be identified and retained in the conversion process. Cross-language information retrieval involves two basic concepts: query language and search language. The query language is the language of the user’s query request, and the retrieval language is the language of the retrieval target. How to build a bridge between the two is the core and key issue in the research of cross-language information retrieval technology. In the process of information retrieval, instead of using character matching or related optimization strategies to find the target, the retrieval object is semantically processed, and the semantic correlation between the potential target object in the semantic paragraph and the query request is analyzed, so as to decide whether to return it as a result. In the research, the corresponding algorithm formulas are established to analyze it, such as formulas (6)–(10).(6)l−T+1−11L13γℵ−−13∑u11=11−21,(7)P+L−41=+12xd′∀r1t,(8)1−l1¯∗+1−1,−Γ1−−13fsdch′,(9)λ⋅1−th1xπ+1,211,(10)Farcctg11l1¯t⊬11−r−″.Currently, the TREC standard document collection is used by many information retrieval systems to evaluate their performance. Generally speaking, a cross-language information retrieval system’s efficiency is 40% to 70% lower than a single-language system’s efficiency. In general information retrieval, the problem of word span, or how to retrieve publications that do not contain the key terms in the questions but are truly related, is recognised as the difficulty of cross-language information retrieval. Since this primarily involves language interpretation, it is also a matter of meaning or conceptual organisation. Theoretical and technical exploration of this problem is important and meaningful [18, 19]. Knowledge-based cross-language information retrieval methods have many difficulties in establishing large dictionaries and complex multilingual thesauri, thus affecting the recall and precision of information retrieval. Through automatic analysis of large literature collections, the information needed to construct automatic translation technology is extracted. Cross-language information retrieval corpora mainly include parallel corpora, comparable corpora, and misaligned corpora. Parallel corpus includes three alignment methods, which can be aligned at the document level, at the sentence level, or even at the word level. Parallel corpora contain a lot of translation knowledge. There are similarities between language information retrieval and distributed information retrieval in many aspects. The common research of distributed information retrieval includes information representation, information selection, and result combination, but there are few researches on these aspects, especially the first two, which are basically in a blank state, and there is still much work to be done. Thesaurus can also manage domain knowledge. A key feature of each multilingual thesaurus is the cross-language synonym specification. Because the cross-language synonym specification is introduced into the thesaurus used for cross-language information retrieval, the keywords in different languages can be compared with each other. The complicated thesaurus also contains conceptual structure information, antonyms, and related words among words or concepts [20].


## 3.1. Cross-Language Information Retrieval Development and Research

Online information resources are expanding daily, thanks to the growth of the Internet. They are no longer just limited to few languages, such as English and Chinese, and the number of resources available in other languages is also growing significantly. It is more and more common for users to query a multilingual text collection. However, most users cannot skillfully use foreign languages to clearly describe queries and correctly express their needs. If you can use your mother tongue to construct the search questions, retrieve useful information from multilingual information sets, and then browse with the help of translation tools, and the recall rate of users can be greatly improved. Documents in at least two different languages are involved in cross-language information retrieval. It cannot be separated from the “translation” process because it is important to first ascertain the language, form, and coding scheme of the documents before automatically analysing and indexing them and then realising retrieval matching. The major issue with cross-language information retrieval technology is “translation,” and there are four approaches to approach it. In the late 1990s, as the Internet expanded quickly, cross-language information retrieval research truly picked up steam and produced results. The globe saw the publication of numerous relevant studies, and several experimental linguistic information retrieval methods appeared one after another. Cross-language information retrieval research has advanced significantly with the quick development of the Internet and computer technology. In recent years, many related papers have been published and some conferences on cross-language information retrieval technology have been held at home and abroad [12, 13]. Traditional information retrieval systems are evaluated in a standardized laboratory environment to compare the retrieval performance of retrieval systems or retrieval technologies. However, the early test document sets are usually small, and there is a big gap between them and the real retrieval environment. Therefore, the retrieval system based on such test sets cannot achieve good performance in practical application. Cross-language information retrieval means that the user constructs a retrieval question in a certain language he has mastered, and the computer automatically searches the information in other different languages (including text, voice, and images) according to the user’s retrieval requirements, and the retrieved results can even be translated into the language specified by the user. Multilingualism is one of the characteristics of the Internet world. According to the statistics of ETHNO-LOGUE in 1995, there are as many as 5,703 languages in the world. According to the research of other scholars, there are currently 160 languages of information on the Internet. Since the beginning of the search guide, adding support for multiple languages has been one of the secrets to triumphing in the harsh competition. The discipline of multilanguages has conducted much research on cross-language information retrieval systems over the past ten years. Experts from all around the world have started to focus their attention on the study of the Chinese cross-language information retrieval system in recent years. Figures 1 and 2 illustrate how the research’s associated model diagrams are set up to analyse and investigate them.Figure 1
Cross-language information model diagram.Figure 2
Cross-language information retrieval framework.MulEnex system, developed in 1997 by the Artificial Intelligence research center of German language and technology research office, is the first cross-language network information retrieval system in the world, which successfully uses cross-language automatic translation technology, so that people can use their own language to effectively obtain information of other languages on the Internet. The system model of cross-language information retrieval mainly includes several functions and modules, such as document preprocessing, constructing retrieval questions, matching, selecting, checking, and transmitting [14, 15]. Literature preprocessing, that is, firstly identifying the language and various forms of literature. According to its research, the corresponding data tables are established to analyze and understand it, such as Tables 1 and 2.Table 1
Cross-language information data table (1).
TypeDataProportionCzech2567Maori8657Mrgvlovani4257Table 2
Cross-language information data table (2).
TypeDataProportionFinnish6492Somali6334Dansk8376The questioning matching, homologous matching, document translation, and interlanguage conversion technology are the four ways that the cross-language information retrieval system uses to match users’ queries and index information. The selection and check functions of the information retrieval system’s user interface will provide pertinent feedback to the user’s retrieval needs in order to increase recall and precision. The search is finished when the user receives the search results from the system. Cross-language information retrieval technology has received attention and has been applied to international online retrieval in an effort to raise the standard of retrieval on the global web and enable users to access and interpret foreign literature information sources.


## 3.2. Analysis and Research of Cross-Language Information Retrieval Methods

Documents in at least two different languages are involved in cross-language information retrieval. It cannot be separated from the “translation” process because it is important to first ascertain the language, form, and coding scheme of the documents before automatically analysing and indexing them and then realising retrieval matching. The major issue with cross-language information retrieval technology is “translation,” and there are four approaches to approach it. Without any translation, homologous matching evaluates a word’s meaning in one language based on how closely two words are spelled or pronounced [16, 17]. The selection of literature is based on the concept marks being matched in the controlled vocabulary cross-language information retrieval system, which typically uses a multilingual thesaurus to determine the correspondence between the index words of each language supported by the system and a set of universal language-independent concept marks. This method translates the questions input by the user into other languages supported by the system, and then carries out single-language retrieval. Questioning translation strategy is the most commonly used strategy at present. Most researchers use this strategy to conduct CLIR research and experiments, and put forward a variety of specific methods to translate questioning. Generally speaking, there are three different technical routes to solve the language barrier between query conditions and query document sets, which can translate query conditions into the same language as query document sets or query document sets into the same language as query conditions. With the rapid growth of network information resources, the cross-language information retrieval of controlled vocabulary cannot meet the information needs of students more and more; so, the research of cross-language information retrieval of free text appears. These words are uncontrolled words, which can be directly used by users during retrieval without manual indexing. Because the freedom of the search words used in the cross-language information retrieval of free texts is large and uncontrolled, the vocabulary differences easily lead to low retrieval efficiency. Interlanguage technology translates questions and documents into a unified interlanguage (also called a third-party language). Because every word in the controlled vocabulary corresponds to a concept, by giving each concept a language-independent logo, the corresponding relationship between words in different languages in the controlled vocabulary can be established. The controlled word list method requires that the query words input by users are words from the controlled word list, and the words used in indexing literature are also from the controlled word list, so that the concept identification can be used as a bridge to realize CLIR. According to the research, the corresponding algorithm formulas are established to analyze and explain them, such as formulas (1)–(5).(1)1+1N−+1sgnx,(2)φ⋅111′−1⋅1′,π1γ,(3)0⊢x1+k′l⊢1−Hn,(4)−ul∅1Γb=rank1,(5)l−cc+2τ⊢πⅈJl¯2111x−H1.In language information retrieval, translation between two languages is the best way to solve the language barrier. However, all translation methods are inseparable from machine translation, bilingual dictionaries, and corpora. Controlled vocabulary retrieval means that the document collection is searched manually according to the preselected vocabulary, and the user also selects the vocabulary from the same controlled vocabulary to construct the query conditions, and then searches the documents. The information required for automatic analysis, translation, and production of natural language is contained in the machine translation dictionary-based method. The machine translation system can frequently give superior translation results, because this method makes advantage of the syntactic and semantic elements of the context to enhance translation quality, particularly for retrieval inquiries composed of lengthy and complete phrases or paragraphs. The main issue with cross-language information retrieval is translation uncertainty, which has a significant effect on retrieval effectiveness. Foreign academics pay great attention to it as a research hub, and the primary language resources used there are dictionaries, thesaurus, ontologies, corpora, etc. It is not necessary for CLIR to eliminate all translational ambiguities. If the system permits numerous translations for a word, then in conventional information retrieval, the ranking of retrieval results is influenced by the frequency with which the term appears in the inquiry formula. At the beginning of 1990s, a revolutionary thought emerged in the field of knowledge engineering in the method of building knowledge base, that is, the idea of building ontology and ontology engineering. The quality of translation resources has an important influence on the performance of cross-language information retrieval. Therefore, in the research of cross-language information retrieval, foreign scholars have made in-depth studies on the construction of translation resources and their comparison with each other. In ontology-based cross-language information retrieval, the main difference between this semantic level implementation and the traditional CLIR method is that in the process of cross-language conversion of queries, the dictionary or other methods are not blindly used for character level processing, but the keywords of queries are preliminarily distinguished, and the implied semantics of the contents in the ontology library can be identified and retained in the conversion process. Cross-language information retrieval involves two basic concepts: query language and search language. The query language is the language of the user’s query request, and the retrieval language is the language of the retrieval target. How to build a bridge between the two is the core and key issue in the research of cross-language information retrieval technology. In the process of information retrieval, instead of using character matching or related optimization strategies to find the target, the retrieval object is semantically processed, and the semantic correlation between the potential target object in the semantic paragraph and the query request is analyzed, so as to decide whether to return it as a result. In the research, the corresponding algorithm formulas are established to analyze it, such as formulas (6)–(10).(6)l−T+1−11L13γℵ−−13∑u11=11−21,(7)P+L−41=+12xd′∀r1t,(8)1−l1¯∗+1−1,−Γ1−−13fsdch′,(9)λ⋅1−th1xπ+1,211,(10)Farcctg11l1¯t⊬11−r−″.Currently, the TREC standard document collection is used by many information retrieval systems to evaluate their performance. Generally speaking, a cross-language information retrieval system’s efficiency is 40% to 70% lower than a single-language system’s efficiency. In general information retrieval, the problem of word span, or how to retrieve publications that do not contain the key terms in the questions but are truly related, is recognised as the difficulty of cross-language information retrieval. Since this primarily involves language interpretation, it is also a matter of meaning or conceptual organisation. Theoretical and technical exploration of this problem is important and meaningful [18, 19]. Knowledge-based cross-language information retrieval methods have many difficulties in establishing large dictionaries and complex multilingual thesauri, thus affecting the recall and precision of information retrieval. Through automatic analysis of large literature collections, the information needed to construct automatic translation technology is extracted. Cross-language information retrieval corpora mainly include parallel corpora, comparable corpora, and misaligned corpora. Parallel corpus includes three alignment methods, which can be aligned at the document level, at the sentence level, or even at the word level. Parallel corpora contain a lot of translation knowledge. There are similarities between language information retrieval and distributed information retrieval in many aspects. The common research of distributed information retrieval includes information representation, information selection, and result combination, but there are few researches on these aspects, especially the first two, which are basically in a blank state, and there is still much work to be done. Thesaurus can also manage domain knowledge. A key feature of each multilingual thesaurus is the cross-language synonym specification. Because the cross-language synonym specification is introduced into the thesaurus used for cross-language information retrieval, the keywords in different languages can be compared with each other. The complicated thesaurus also contains conceptual structure information, antonyms, and related words among words or concepts [20].


## 4. Japanese Literature Research

### 4.1. Research and Structure of Japanese Literary Thoughts

Japanese literary works are generally characterized by depoliticization. The earliest Japanese literary works with strong political color are the Japanese Book of Records and Ancient Stories, which involve the description of the origin of gods and the emperor’s family. When it comes to Japanese literature, we cannot help but talk about Japanese language. However, in the past, Japanese people often overlooked this point when writing the history of Japanese literature. Japanese is a very distinctive language, and writing with it is bound to have different characteristics from those of European, American and Chinese languages. For example, the difference between prose and verse is distinguished by whether it rhymes or not in Europe, America, and China. It is not only the traditional Japanese literature that is depoliticized but also its modern literature. The Meiji Restoration Movement in Japan has played a great role in promoting the development of modern literature. However, modern literature in Japan is still separated from politics. As rhymes, English, German, and Russian all have a special tune. Only by consciously forming a rhythm according to a certain tune can they be regarded as rhymes. However, Japanese pronunciation has no obvious ups and downs, and it cannot be used to distinguish verse from prose. Japanese is distinguished by the number of syllables, and each line has a certain number of syllables, or seven or five, which is the so-called “seven-five-tone.” This is the most typical form of Japanese poetry. Before modern times, Japanese literature was mainly presented in the form of short songs with simple structure, concise narration, and short form. This form has been relatively developed from ancient times to modern times, and it still lasts forever. Japan’s diary literature and essay literature, very pursuit of beautiful style. The representative and traditional Japanese literature feature subjectivity. Comparing Japanese literature with European literature and Chinese literature, Homer epics in ancient Greece are mostly objective narratives; reading Chinese novels is subjective, but there are still many objective elements. The most typical Japanese literary work, The Story of the Heian Dynasty, contains few events; so, most of them are carried out in the minds of the characters. In the research, corresponding data charts are set up to analyze and study them, as shown in Figures3–5.Figure 3
Data map of Japanese literature types (1).Figure 4
Data map of Japanese literature types (2).Figure 5
Data analysis of literature category gap.Japanese writers can express the emotional world of the singers and the monks to the fullest with just two or three short songs and haiku. This kind of artistic expression technique that pursues conciseness in a simple structure is really amazing, and this “doll interest” that condenses life and nature is a special expression of lyricism in Japanese literature. It is true, but the vocabulary in this area is poor. In ancient times, when Japanese people wrote objective things, they always loved Chinese. Just as English people used Latin for important things in the Middle Ages, Japanese people used Chinese for important things in the Middle Ages. This form itself is not unique to Japanese literature, but it is a special phenomenon in modern Japanese literature that it has become the mainstream of literature. In other countries, novels are mostly fictions, not to record the author’s own experience, but to write about other things, his friends, created characters, or historical figures. This tendency is also reflected in the works of Ihara Nishiko in the Middle Ages, such as Lust Generation Men, Trouble in the World, Shiga Naoya’s Dark Night in modern times, and Kawabata Yasunari’s Snow Country. In short, these works can come to an end at any time, or they can be finished everywhere. This feature is also very noticeable in Murasaki Shikibu’s Tales of Genji and other Japanese prose stories.


### 4.2. Research on the Expression and Characteristics of Japanese Literature

The natural topic is one of the most revered in Japanese literature. People have had a great reverence for nature since the dawn of time, and our country is especially well-known for it. The geographic setting of Japan is inextricably linked to this. Japan is a small island nation in the Pacific Ocean that is well known for its stunning natural landscape, different seasons, and agreeable weather. An important question is how modern Japanese authors understand their own literary heritage. Some authors place a high value on literature from antiquity and the classical period. They painstakingly study these works before using them as the foundation for their own original works. Kawabata Yasunari, who won the Nobel Prize for Literature, is such a writer, and some writers have partially inherited the classical tradition, especially the folklore. For example, Shunji Muxia, a famous playwright, tried to use classical themes and folk legends to create new plays. From the perspective of “flowers” alone, the reason why Japanese people still cannot stop liking cherry blossoms is that cherry blossoms can make them feel that fickle feeling. Contrary to the attitude of westerners who pursue “eternal things” and get beauty from them, most Japanese people feel beauty in moving and changing things, and this tendency is deeply rooted. According to its research, the corresponding data graphs are established to analyze and explain it, as shown in Figures6 and 7.Figure 6
Data analysis of literary emotional expression research (1).Figure 7
Data analysis of literary emotional expression research (2).All in all, Japan’s literary character is very delicate and subtle. Japanese literati mostly express their ordinary life, pursue delicate emotional experience, and show their calm thinking about life and society. Japanese writers have the ability to find the artistic conception of “beauty” in “sorrow.” The novel “Dark Painting” is difficult to read. It is always a disadvantage to confuse readers regardless of how it destroys the Japanese tradition. Although it has a good side, as Mr. Noguchi once wrote, in modern Japanese novels, most of them do not have facial descriptions of characters. However, European literary works must have facial descriptions of characters, otherwise people will not know what kind of characters are written. Ye Jian’s works describe the characters’ faces in detail, and his literature has new ideas. This kind of knowledge is also connected with the principal idea that “the mind is shaken, so literature sprouts.” This makes literature show a simple, delicate, and sensitive attitude according to the starting point, or it has no purpose. Sensitive and aimless are is the personalities related to the characteristics of Japanese literature.


## 4.1. Research and Structure of Japanese Literary Thoughts

Japanese literary works are generally characterized by depoliticization. The earliest Japanese literary works with strong political color are the Japanese Book of Records and Ancient Stories, which involve the description of the origin of gods and the emperor’s family. When it comes to Japanese literature, we cannot help but talk about Japanese language. However, in the past, Japanese people often overlooked this point when writing the history of Japanese literature. Japanese is a very distinctive language, and writing with it is bound to have different characteristics from those of European, American and Chinese languages. For example, the difference between prose and verse is distinguished by whether it rhymes or not in Europe, America, and China. It is not only the traditional Japanese literature that is depoliticized but also its modern literature. The Meiji Restoration Movement in Japan has played a great role in promoting the development of modern literature. However, modern literature in Japan is still separated from politics. As rhymes, English, German, and Russian all have a special tune. Only by consciously forming a rhythm according to a certain tune can they be regarded as rhymes. However, Japanese pronunciation has no obvious ups and downs, and it cannot be used to distinguish verse from prose. Japanese is distinguished by the number of syllables, and each line has a certain number of syllables, or seven or five, which is the so-called “seven-five-tone.” This is the most typical form of Japanese poetry. Before modern times, Japanese literature was mainly presented in the form of short songs with simple structure, concise narration, and short form. This form has been relatively developed from ancient times to modern times, and it still lasts forever. Japan’s diary literature and essay literature, very pursuit of beautiful style. The representative and traditional Japanese literature feature subjectivity. Comparing Japanese literature with European literature and Chinese literature, Homer epics in ancient Greece are mostly objective narratives; reading Chinese novels is subjective, but there are still many objective elements. The most typical Japanese literary work, The Story of the Heian Dynasty, contains few events; so, most of them are carried out in the minds of the characters. In the research, corresponding data charts are set up to analyze and study them, as shown in Figures3–5.Figure 3
Data map of Japanese literature types (1).Figure 4
Data map of Japanese literature types (2).Figure 5
Data analysis of literature category gap.Japanese writers can express the emotional world of the singers and the monks to the fullest with just two or three short songs and haiku. This kind of artistic expression technique that pursues conciseness in a simple structure is really amazing, and this “doll interest” that condenses life and nature is a special expression of lyricism in Japanese literature. It is true, but the vocabulary in this area is poor. In ancient times, when Japanese people wrote objective things, they always loved Chinese. Just as English people used Latin for important things in the Middle Ages, Japanese people used Chinese for important things in the Middle Ages. This form itself is not unique to Japanese literature, but it is a special phenomenon in modern Japanese literature that it has become the mainstream of literature. In other countries, novels are mostly fictions, not to record the author’s own experience, but to write about other things, his friends, created characters, or historical figures. This tendency is also reflected in the works of Ihara Nishiko in the Middle Ages, such as Lust Generation Men, Trouble in the World, Shiga Naoya’s Dark Night in modern times, and Kawabata Yasunari’s Snow Country. In short, these works can come to an end at any time, or they can be finished everywhere. This feature is also very noticeable in Murasaki Shikibu’s Tales of Genji and other Japanese prose stories.


## 4.2. Research on the Expression and Characteristics of Japanese Literature

The natural topic is one of the most revered in Japanese literature. People have had a great reverence for nature since the dawn of time, and our country is especially well-known for it. The geographic setting of Japan is inextricably linked to this. Japan is a small island nation in the Pacific Ocean that is well known for its stunning natural landscape, different seasons, and agreeable weather. An important question is how modern Japanese authors understand their own literary heritage. Some authors place a high value on literature from antiquity and the classical period. They painstakingly study these works before using them as the foundation for their own original works. Kawabata Yasunari, who won the Nobel Prize for Literature, is such a writer, and some writers have partially inherited the classical tradition, especially the folklore. For example, Shunji Muxia, a famous playwright, tried to use classical themes and folk legends to create new plays. From the perspective of “flowers” alone, the reason why Japanese people still cannot stop liking cherry blossoms is that cherry blossoms can make them feel that fickle feeling. Contrary to the attitude of westerners who pursue “eternal things” and get beauty from them, most Japanese people feel beauty in moving and changing things, and this tendency is deeply rooted. According to its research, the corresponding data graphs are established to analyze and explain it, as shown in Figures6 and 7.Figure 6
Data analysis of literary emotional expression research (1).Figure 7
Data analysis of literary emotional expression research (2).All in all, Japan’s literary character is very delicate and subtle. Japanese literati mostly express their ordinary life, pursue delicate emotional experience, and show their calm thinking about life and society. Japanese writers have the ability to find the artistic conception of “beauty” in “sorrow.” The novel “Dark Painting” is difficult to read. It is always a disadvantage to confuse readers regardless of how it destroys the Japanese tradition. Although it has a good side, as Mr. Noguchi once wrote, in modern Japanese novels, most of them do not have facial descriptions of characters. However, European literary works must have facial descriptions of characters, otherwise people will not know what kind of characters are written. Ye Jian’s works describe the characters’ faces in detail, and his literature has new ideas. This kind of knowledge is also connected with the principal idea that “the mind is shaken, so literature sprouts.” This makes literature show a simple, delicate, and sensitive attitude according to the starting point, or it has no purpose. Sensitive and aimless are is the personalities related to the characteristics of Japanese literature.


## 5. Conclusion

Cross-language information retrieval has advanced significantly in recent years, both in terms of research techniques and test set development. The result of combining several procedures is superior to that of using only one. Therefore, a clear trend in this area is that more and more academics are starting to think about integrating some of the aforementioned techniques discussed in this work in order to further boost query translation accuracy. Cross-language information retrieval should not be restricted to just document retrieval; it can also include cross-language interactive retrieval, language question-and-answer systems, language new subject discovery, and eye tracking. CLEF has currently conducted fruitful research in connected cities. Technically, the creation of a sizable bilingual or multilingual text corpus, the creation of related tools to investigate the correspondence, and concurrent neutral expression of words in several languages, or the theoretical investigation to create a more general conceptual architecture, such as WordNet, and the combination of these investigations, may be the fundamental solution to the information retrieval problem. The topic of cross-language information retrieval has gained popularity worldwide. Even though the research in this area has advanced significantly, there are still not enough cross-language retrieval systems and related tools available in the actual corpus environment, and there is still much work to be done before the current technology is truly useful. This continues to be a significant challenge for the field’s researchers. Looking ahead, the creation of cross-language information retrieval technology will integrate significant library resources and network information sources. As a result, the way that people interact with information will change significantly, and information will be expressed in a richer and more user-friendly manner. Japanese literature shares these unique distinctive styles and traits with literature from other nations. Since the Yamato era, it has evolved over more than 1000 years, incorporating the best aspects of other civilizations while also adhering to its own features to eventually create this distinctive style. The most thorough and accurate mapping of culture and society can be found in literature, which is a byproduct of the most successful historical stage of culture.



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*Source: 8195075-2022-09-14.xml*