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Improvements to Korektor: A case study with native and non-native Czech

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10318156" target="_blank" >RIV/00216208:11320/15:10318156 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11210/15:10318156

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Improvements to Korektor: A case study with native and non-native Czech

  • Original language description

    We present recent developments of Korektor, a statistical spell checking system. In addition to lexicon, Korektor uses language models to find real-word errors, detectable only in context. The models and error probabilities, learned from error corpora, are also used to suggest the most likely corrections. Korektor was originally trained on a small error corpus and used language models extracted from an in-house corpus WebColl. We show two recent improvements: . We built new language models from freely avail- able (shuffled) versions of the Czech National Corpus and show that these perform consistently better on texts produced both by native speakers and non-native learners of Czech. . We trained new error models on a manually annotated learner corpus and show that they perform better than the standard error model (in error detection) not only for the learners' texts, but also for our standard eval- uation data of native Czech. For error correction, the standard error model outperformed

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 15th conference ITAT 2015: Slovenskočeský NLP workshop (SloNLP 2015)

  • ISBN

    978-1-5151-2065-0

  • ISSN

    1613-0073

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    73-80

  • Publisher name

    CreateSpace Independent Publishing Platform

  • Place of publication

    Praha, Czechia

  • Event location

    Smižany, Slovakia

  • Event date

    Sep 20, 2015

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article