A Searching Tool for Russian Error-Annotated Learner English Corpus

Alena Fenogenova () and Elizaveta Kuzmenko ()
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Alena Fenogenova: National Research University Higher School of Economics
Elizaveta Kuzmenko: National Research University Higher School of Economics

HSE Working papers from National Research University Higher School of Economics

Abstract: Learner corpora constitute an effective resource for specialists in fields of second language acquisition, foreign language teaching and corpus linguistics. They tend to get significant scholarly help from statistical tools of various kinds. However, for valuable usage of a corpus it should provide convenient and powerful tools for searching and manipulating data. In this paper we focus on searching tools, presented in Russian Error-Annotated Learner English Corpus (REALEC), report our attempts to improve the format of the searching tools in our corpora. We also provide evidences that database search is much more efficient than common text search and demonstrate that search functionality in corpora is of great importance for research efficiency and extensive facilities.

Keywords: learner corpora; English as a second language; automatic search in corpora. (search for similar items in EconPapers)
JEL-codes: Z (search for similar items in EconPapers)
Pages: 9 pages
Date: 2016
New Economics Papers: this item is included in nep-cis
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Published in WP BRP Series: Linguistics / LNG, December 2016, pages 1-9

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Persistent link: https://EconPapers.repec.org/RePEc:hig:wpaper:52/lng/2016

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