• Title/Summary/Keyword: language of science

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Dependency Structure Applied to Language Modeling for Information Retrieval

  • Lee, Chang-Ki;Lee, Gary Geun-Bae;Jang, Myung-Gil
    • ETRI Journal
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    • v.28 no.3
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    • pp.337-346
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    • 2006

  • In this paper, we propose a new language model, namely, a dependency structure language model, for information retrieval to compensate for the weaknesses of unigram and bigram language models. The dependency structure language model is based on the first-order dependency model and the dependency parse tree generated by a linguistic parser. So, long-distance dependencies can be naturally captured by the dependency structure language model. We carried out extensive experiments to verify the proposed model, where the dependency structure model gives a better performance than recently proposed language models and the Okapi BM25 method, and the dependency structure is more effective than unigram and bigram in language modeling for information retrieval.

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An Analysis of the Applications of the Language Models for Information Retrieval (정보검색에서의 언어모델 적용에 관한 분석)

  • Kim Heesop;Jung Youngmi
    • Journal of Korean Library and Information Science Society
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    • v.36 no.2
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    • pp.49-68
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    • 2005

  • The purpose of this study is to examine the research trends and their experiment results on the applications of the language models for information retrieval. We reviewed the previous studies with the following categories: (1) the first generation of language modeling information retrieval (LMIR) experiments which are mainly focused on comparing the language modeling information retrieval with the traditional retrieval models in their retrieval performance, and (2) the second generation of LMIR experiments which are focused on comparing the expanded language modeling information retrieval with the basic language models in their retrieval performance. Through the analysis of the previous experiments results, we found that (1) language models are outperformed the probabilistic model or vector space model approaches, and (2) the expended language models demonstrated better results than the basic language models in their retrieval performance.

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The Influence of Follow-up Activities after Reading Picture Books on Language and Socio-emotional Development of Infants (그림책읽기 후속활동이 영아의 언어 및 사회.정서발달에 미치는 영향)

  • Lee, Wha-Jin;Seo, Hyun-Ah
    • The Korean Journal of Community Living Science
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    • v.22 no.3
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    • pp.455-469
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    • 2011

  • The purpose of this study was to find out how follow-up activities of reading picture books influenced infants' language and socio-emotional development. Subjects of this study were 27 2-year-old infants at public day care centers in Busan. After implementing follow-up activities of reading picture books for 8 weeks, this study tried to investigate changes in infants' language and socio-emotional development. Results of this study are as follows. First, follow-up activities of reading pictures have brought positive impacts on infants' language ability. Results indicate a positive influence on infants' expressive and acceptive language ability. Second, follow up activities have also enhanced infants' socio-emotional development. Sepcifically, they have been effective in improving infants' low-level socio-emotional development such as 'internal control', 'peer interaction', and 'achievement motivation'. It is expected that the follow-up activities developed by this research would help to enhance infants' language development and socio-emotional development.

  • https://doi.org/10.7856/kjcls.2011.22.3.455 인용 PDF KSCI