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Spelling correction in english: Joint use of bi-grams and chunking

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dc.date.accessioned 2019-01-22T20:53:30Z
dc.date.available 2019-01-22T20:53:30Z
dc.date.issued 2018
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/149289
dc.description.abstract © 2017 IEEE. The work presents the task of spelling correction realized in a batch mode with support of syntactic context. It uses the model of incomplete syntactic analysis, or chunking, described in Tesnière's dependencies. In order to improve the efficiency of chunking, the authors use a PoS-tagged dictionary of bi-grams. The program is written in Java; it uses UIMA framework and NLP@Cloud library. The paper presents the test results of the program execution on a collection of 100 clauses. It shows that the use of bi-grams can considerably increase the characteristics of the spelling corrector.
dc.subject bi-grams
dc.subject chunking
dc.subject dependency model
dc.subject English
dc.subject Spelling correction
dc.subject syntax
dc.subject Tesnière
dc.title Spelling correction in english: Joint use of bi-grams and chunking
dc.type Conference Paper
dc.relation.ispartofseries-volume 2018-January
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 886
dc.source.id SCOPUS-2018-2018-SID85051118518

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  • Публикации сотрудников КФУ Scopus [22633]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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