IITB System for CoNLL 2013 Shared Task: A Hybrid Approach to Grammatical Error Correction
نویسندگان
چکیده
We describe our grammar correction system for the CoNLL-2013 shared task. Our system corrects three of the five error types specified for the shared task noun-number, determiner and subject-verb agreement errors. For noun-number and determiner correction, we apply a classification approach using rich lexical and syntactic features. For subject-verb agreement correction, we propose a new rulebased system which utilizes dependency parse information and a set of conditional rules to ensure agreement of the verb group with its subject. Our system obtained an F-score of 11.03 on the official test set using the M2 evaluation method (the official evaluation method).
منابع مشابه
RACAI GEC - A hybrid approach to Grammatical Error Correction
This paper describes RACAI’s (Research Institute for Artificial Intelligence) hybrid grammatical error correction system. This system was validated during the participation into the CONLL’14 Shared Task on Grammatical Error Correction. We offer an analysis of the types of errors detected and corrected by our system, we present the necessary steps to reproduce our experiment and also the re-
متن کاملUM-Checker: A Hybrid System for English Grammatical Error Correction
This paper describes the NLP 2 CT Grammatical Error Detection and Correction system for the CoNLL 2013 shared task, with a focus on the errors of article or determiner (ArtOrDet), noun number (Nn), preposition (Prep), verb form (Vform) and subject-verb agreement (SVA). A hybrid model is adopted for this special task. The process starts with spellchecking as a preprocessing step to correct any p...
متن کاملKUNLP Grammatical Error Correction System For CoNLL-2013 Shared Task
This paper describes an English grammatical error correction system for CoNLL2013 shared task. Error types covered by our system are article/determiner, preposition, and noun number agreement. This work is our first attempt on grammatical error correction research. In this work, we only focus on reimplementing the techniques presented before and optimizing the performance. As a result of the im...
متن کاملGrammatical error correction using hybrid systems and type filtering
This paper describes our submission to the CoNLL 2014 shared task on grammatical error correction using a hybrid approach, which includes both a rule-based and an SMT system augmented by a large webbased language model. Furthermore, we demonstrate that correction type estimation can be used to remove unnecessary corrections, improving precision without harming recall. Our best hybrid system ach...
متن کاملCoNLL-2013 Shared Task: Grammatical Error Correction NTHU System Description
Grammatical error correction has been an active research area in the field of Natural Language Processing. This paper describes the grammatical error correction system developed at NTHU in participation of the CoNLL-2013 Shared Task. The system consists of four modules in a pipeline to correct errors related to determiners, prepositions, verb forms and noun number. Although more types of errors...
متن کامل