@inproceedings{napoles-callison-burch-2017-systematically,
title = "Systematically Adapting Machine Translation for Grammatical Error Correction",
author = "Napoles, Courtney and
Callison-Burch, Chris",
editor = "Tetreault, Joel and
Burstein, Jill and
Leacock, Claudia and
Yannakoudakis, Helen",
booktitle = "Proceedings of the 12th Workshop on Innovative Use of {NLP} for Building Educational Applications",
month = sep,
year = "2017",
address = "Copenhagen, Denmark",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W17-5039",
doi = "10.18653/v1/W17-5039",
pages = "345--356",
abstract = "n this work we adapt machine translation (MT) to grammatical error correction, identifying how components of the statistical MT pipeline can be modified for this task and analyzing how each modification impacts system performance. We evaluate the contribution of each of these components with standard evaluation metrics and automatically characterize the morphological and lexical transformations made in system output. Our model rivals the current state of the art using a fraction of the training data.",
}
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%0 Conference Proceedings
%T Systematically Adapting Machine Translation for Grammatical Error Correction
%A Napoles, Courtney
%A Callison-Burch, Chris
%Y Tetreault, Joel
%Y Burstein, Jill
%Y Leacock, Claudia
%Y Yannakoudakis, Helen
%S Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F napoles-callison-burch-2017-systematically
%X n this work we adapt machine translation (MT) to grammatical error correction, identifying how components of the statistical MT pipeline can be modified for this task and analyzing how each modification impacts system performance. We evaluate the contribution of each of these components with standard evaluation metrics and automatically characterize the morphological and lexical transformations made in system output. Our model rivals the current state of the art using a fraction of the training data.
%R 10.18653/v1/W17-5039
%U https://aclanthology.org/W17-5039
%U https://doi.org/10.18653/v1/W17-5039
%P 345-356
Markdown (Informal)
[Systematically Adapting Machine Translation for Grammatical Error Correction](https://aclanthology.org/W17-5039) (Napoles & Callison-Burch, BEA 2017)
ACL