Building a State-of-the-Art Grammatical Error Correction System
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 focus...
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Veröffentlicht in: | Transactions of the Association for Computational Linguistics 2021-03, Vol.2, p.419-434 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | 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. |
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ISSN: | 2307-387X 2307-387X |
DOI: | 10.1162/tacl_a_00193 |