Semantic Search over Wikipedia Documents Meaning of Queries Based Pre-Trained Language Model

Software reuse can improve software quality with the reducing cost and development time. Systematic reuse plan enhances cohesion and reduces coupling for better testability and maintainability. Software reuse approach can be adopted at the highest extent if relevant software components can be easily searched, adapted and integrated into new system. Large software industries hold their own well managed component libraries containing well tested software component with the project category based classification .Access to these repositories are very limited. Software reuse is facing so many problems and still not so popular. This is due to issues of general access, efficient search and adoption of software component. This paper propose a framework which resolves all of the above issues with providing easy access to components, efficient incremental semantics based search, repository management, versioning of components.

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Classification of means and methods of the Web semantic retrieval

PROBLEMS IN PROGRAMMING ◽

10.15407/pp2017.01.030 ◽

2017 ◽

pp. 030-050

Author(s):

J.V. Rogushina ◽

Keyword(s):

Search Engines ◽

Domain Knowledge ◽

Information Needs ◽

Web Search ◽

User Interaction ◽

Query Languages ◽

Semantic Search ◽

Semantic Retrieval ◽

The Web

Problems associated with the improve ment of information retrieval for open environment are considered and the need for it’s semantization is grounded. Thecurrent state and prospects of development of semantic search engines that are focused on the Web information resources processing are analysed, the criteria for the classification of such systems are reviewed. In this analysis the significant attention is paid to the semantic search use of ontologies that contain knowledge about the subject area and the search users. The sources of ontological knowledge and methods of their processing for the improvement of the search procedures are considered. Examples of semantic search systems that use structured query languages (eg, SPARQL), lists of keywords and queries in natural language are proposed. Such criteria for the classification of semantic search engines like architecture, coupling, transparency, user context, modification requests, ontology structure, etc. are considered. Different ways of support of semantic and otology based modification of user queries that improve the completeness and accuracy of the search are analyzed. On base of analysis of the properties of existing semantic search engines in terms of these criteria, the areas for further improvement of these systems are selected: the development of metasearch systems, semantic modification of user requests, the determination of an user-acceptable transparency level of the search procedures, flexibility of domain knowledge management tools, increasing productivity and scalability. In addition, the development of means of semantic Web search needs in use of some external knowledge base which contains knowledge about the domain of user information needs, and in providing the users with the ability to independent selection of knowledge that is used in the search process. There is necessary to take into account the history of user interaction with the retrieval system and the search context for personalization of the query results and their ordering in accordance with the user information needs. All these aspects were taken into account in the design and implementation of semantic search engine "MAIPS" that is based on an ontological model of users and resources cooperation into the Web.

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Interpretation of Nonsense as a Method of Children Imagination Development (as exemplified in Carroll L. «Through the Looking-Glass and What Alice Found There»)

Current Issues in Philology and Pedagogical Linguistics ◽

10.29025/2079-6021-2020-4-200-212 ◽

2020 ◽

pp. 200-212

Author(s):

Larisa V. Kalashnikova

Keyword(s):

Creative Thinking ◽

Language Model ◽

Word Formation ◽

The Third ◽

New Meanings ◽

The World ◽

Looking Glass ◽

Rules Of The Game ◽

Powerful Incentive ◽

Algorithmic Thinking

The article enlightens the probem of nonsense and its role in the development of creative thinking and fantasy, and the way how the interpretation of nonsense affects children imagination. The function of imagination inherent to a person, and especially to a child, has a powerful potential – to create artificially new metaphorical models, absurd and most incredible situations based on self-amazement. Children are able to measure the properties of unfamiliar objects with the properties of known things. It is not difficult for small researchers to replace incomprehensible meanings with familiar ones; to think over situations, to make analogies, to transfer signs and properties of one object to another. The problem of nonsense research is interesting and relevant. The element of the game is an integral component of nonsense. In the process of playing, children cognize the world, learn to interact with the world, imitating the adults behavior. Imagination and fantasy help the child to invent his own rules of the game, to choose language elements that best suit his ideas. The child uses the learned productive models of the language system to create their own models and their own language, attracting language signs: words, morphs, sentences. Children’s dictionary stimulates word formation and language nomination processes. Nonsense-words are the result of children’s dictionary, speech errors and occazional formations, presented in the form of contamination, phonetic transformations, lexical substitution, implemented on certain models. The first two models are phonetic imitation and hybrid speech, based on the natural language model. The third model of designing nonsense is represented by words that have no meaning at all and can be attributed to words-portmonaie. Due to the flexibility of interframe relationships and the lack of algorithmic thinking, children can not only capture the implicit similarity of objects and phenomena, but also create it through their imagination. Interpretation of nonsense is an effective method of developing imagination in children, because metaphors, nonsense as a means of creating new meanings, modeling new content from fragments of one’s own experience, are a powerful incentive for creative thinking.

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Phraseological Analysis of Learner Corpus Based on Language Model

Language and Information ◽

10.29403/li.22.1.6 ◽

2018 ◽

Vol 22 (1) ◽

pp. 123-152

Author(s):

Sanghoun Song

Keyword(s):

Language Model ◽

Learner Corpus

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Text Genre Detection Using Doc2Vec Word-embedding Language Model

Language and Information ◽

10.29403/li.23.2.2 ◽

2019 ◽

Vol 23 (2) ◽

pp. 23-43

Author(s):

Dongsung Kim

Keyword(s):

Language Model ◽

Word Embedding ◽

Text Genre

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N-gram based Language Model for the QWERTY Keyboard Input Errors in a Touch Screen Environment

Korean Institute of Smart Media ◽

10.30693/smj.2018.7.2.54 ◽

2018 ◽

Vol 7 (2) ◽

pp. 54-59

Author(s):

Yoon Gee Ong ◽

◽

Seung Shik Kang ◽

Keyword(s):

Language Model ◽

Touch Screen ◽

Keyboard Input ◽

N Gram

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Extractive Summarisation Based on Keyword Profile and Language Model

10.3115/v1/n15-1013 ◽

2015 ◽

Cited By ~ 1

Author(s):

Han Xu ◽

Eric Martin ◽

Ashesh Mahidadia

Keyword(s):

Language Model

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Method of semantic search and analysis of information

Informatization and communication ◽

10.34219/2078-8320-2020-11-1-75-80 ◽

2020 ◽

pp. 75-80

Author(s):

A.L. Ogarok

Keyword(s):

Computer Systems ◽

Linguistic Analysis ◽

Semantic Search ◽

Textual Information ◽

Formalized Description

The methodology of semantic search and analysis of information is considered. The results of the analysis of various approaches to solving the problem of a complete linguistic analysis of textual information in computer systems are presented. A formalized description of the method of semantic search and analysis of information is given.

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