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        <title>Building a State-of-the-Art Grammatical Error Correction System</title>
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        <namePart type="given">Alla</namePart>
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    <abstract>This paper identifies and examines the key principles underlying building a state-of-the-art grammatical error correction system. We do this by analyzing the Illinois system that placed first among seventeen teams in the recent CoNLL-2013 shared task on grammatical error correction. The system focuses on five different types of errors common among non-native English writers. We describe four design principles that are relevant for correcting all of these errors, analyze the system along these dimensions, and show how each of these dimensions contributes to the performance.</abstract>
    <identifier type="citekey">rozovskaya-roth-2014-building</identifier>
    <identifier type="doi">10.1162/tacl_a_00193</identifier>
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        <date>2014</date>
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%0 Journal Article
%T Building a State-of-the-Art Grammatical Error Correction System
%A Rozovskaya, Alla
%A Roth, Dan
%J Transactions of the Association for Computational Linguistics
%D 2014
%V 2
%I MIT Press
%C Cambridge, MA
%F rozovskaya-roth-2014-building
%X This paper identifies and examines the key principles underlying building a state-of-the-art grammatical error correction system. We do this by analyzing the Illinois system that placed first among seventeen teams in the recent CoNLL-2013 shared task on grammatical error correction. The system focuses on five different types of errors common among non-native English writers. We describe four design principles that are relevant for correcting all of these errors, analyze the system along these dimensions, and show how each of these dimensions contributes to the performance.
%R 10.1162/tacl_a_00193
%U https://aclanthology.org/Q14-1033
%U https://doi.org/10.1162/tacl_a_00193
%P 419-434

Markdown (Informal)

[Building a State-of-the-Art Grammatical Error Correction System](https://aclanthology.org/Q14-1033) (Rozovskaya & Roth, TACL 2014)

• Building a State-of-the-Art Grammatical Error Correction System (Rozovskaya & Roth, TACL 2014)

ACL

• Alla Rozovskaya and Dan Roth. 2014. Building a State-of-the-Art Grammatical Error Correction System. Transactions of the Association for Computational Linguistics, 2:419–434.