CoNLL 2014 shared task: Grammatical error correction with a syntactic N-gram language model from a big corpora

S. David Hernandez; Hiram Calvo

CoNLL 2014 shared task: Grammatical error correction with a syntactic N-gram language model from a big corpora

S. David Hernandez, Hiram Calvo

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

We describe our approach to grammatical error correction presented in the CoNLL Shared Task 2014. Our work is focused on error detection in sentences with a language model based on syntactic tri-grams and bi-grams extracted from dependency trees generated from 90% of the English Wikipedia. Also, we add a naïve module to error correction that outputs a set of possible answers, those sentences are scored using a syntactic n-gram language model. The sentence with the best score is the final suggestion of the system. The system was ranked 11th, evidently this is a very simple approach, but since the beginning our main goal was to test the syntactic n-gram language model with a big corpus to future comparison.

Idioma original	Inglés
Título de la publicación alojada	CoNLL 2014 - 18th Conference on Computational Natural Language Learning, Proceedings of the Shared Task
Editorial	Association for Computational Linguistics (ACL)
Páginas	53-59
Número de páginas	7
ISBN (versión digital)	9781941643198
Estado	Publicada - 1 ene. 2014
Evento	18th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2014 - Baltimore, Estados Unidos Duración: 26 jun. 2014 → 27 jun. 2014

Serie de la publicación

Nombre	CoNLL 2014 - 18th Conference on Computational Natural Language Learning, Proceedings of the Shared Task

Conferencia

Conferencia	18th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2014
País/Territorio	Estados Unidos
Ciudad	Baltimore
Período	26/06/14 → 27/06/14

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David Hernandez, S., & Calvo, H. (2014). CoNLL 2014 shared task: Grammatical error correction with a syntactic N-gram language model from a big corpora. En CoNLL 2014 - 18th Conference on Computational Natural Language Learning, Proceedings of the Shared Task (pp. 53-59). (CoNLL 2014 - 18th Conference on Computational Natural Language Learning, Proceedings of the Shared Task). Association for Computational Linguistics (ACL).

David Hernandez, S. ; Calvo, Hiram. / CoNLL 2014 shared task : Grammatical error correction with a syntactic N-gram language model from a big corpora. CoNLL 2014 - 18th Conference on Computational Natural Language Learning, Proceedings of the Shared Task. Association for Computational Linguistics (ACL), 2014. pp. 53-59 (CoNLL 2014 - 18th Conference on Computational Natural Language Learning, Proceedings of the Shared Task).

@inproceedings{fb204995eebd429cb02168f545d02cd2,

title = "CoNLL 2014 shared task: Grammatical error correction with a syntactic N-gram language model from a big corpora",

abstract = "We describe our approach to grammatical error correction presented in the CoNLL Shared Task 2014. Our work is focused on error detection in sentences with a language model based on syntactic tri-grams and bi-grams extracted from dependency trees generated from 90% of the English Wikipedia. Also, we add a na{\"i}ve module to error correction that outputs a set of possible answers, those sentences are scored using a syntactic n-gram language model. The sentence with the best score is the final suggestion of the system. The system was ranked 11th, evidently this is a very simple approach, but since the beginning our main goal was to test the syntactic n-gram language model with a big corpus to future comparison.",

author = "{David Hernandez}, S. and Hiram Calvo",

year = "2014",

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series = "CoNLL 2014 - 18th Conference on Computational Natural Language Learning, Proceedings of the Shared Task",

publisher = "Association for Computational Linguistics (ACL)",

pages = "53--59",

booktitle = "CoNLL 2014 - 18th Conference on Computational Natural Language Learning, Proceedings of the Shared Task",

note = "18th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2014 ; Conference date: 26-06-2014 Through 27-06-2014",

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David Hernandez, S & Calvo, H 2014, CoNLL 2014 shared task: Grammatical error correction with a syntactic N-gram language model from a big corpora. En CoNLL 2014 - 18th Conference on Computational Natural Language Learning, Proceedings of the Shared Task. CoNLL 2014 - 18th Conference on Computational Natural Language Learning, Proceedings of the Shared Task, Association for Computational Linguistics (ACL), pp. 53-59, 18th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2014, Baltimore, Estados Unidos, 26/06/14.

CoNLL 2014 shared task: Grammatical error correction with a syntactic N-gram language model from a big corpora. / David Hernandez, S.; Calvo, Hiram.
CoNLL 2014 - 18th Conference on Computational Natural Language Learning, Proceedings of the Shared Task. Association for Computational Linguistics (ACL), 2014. p. 53-59 (CoNLL 2014 - 18th Conference on Computational Natural Language Learning, Proceedings of the Shared Task).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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AB - We describe our approach to grammatical error correction presented in the CoNLL Shared Task 2014. Our work is focused on error detection in sentences with a language model based on syntactic tri-grams and bi-grams extracted from dependency trees generated from 90% of the English Wikipedia. Also, we add a naïve module to error correction that outputs a set of possible answers, those sentences are scored using a syntactic n-gram language model. The sentence with the best score is the final suggestion of the system. The system was ranked 11th, evidently this is a very simple approach, but since the beginning our main goal was to test the syntactic n-gram language model with a big corpus to future comparison.

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David Hernandez S, Calvo H. CoNLL 2014 shared task: Grammatical error correction with a syntactic N-gram language model from a big corpora. En CoNLL 2014 - 18th Conference on Computational Natural Language Learning, Proceedings of the Shared Task. Association for Computational Linguistics (ACL). 2014. p. 53-59. (CoNLL 2014 - 18th Conference on Computational Natural Language Learning, Proceedings of the Shared Task).

CoNLL 2014 shared task: Grammatical error correction with a syntactic N-gram language model from a big corpora

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