نتایج جستجو برای: grammatical error

تعداد نتایج: 266015  

2014
Christopher Bryant Raymond Hendy

The CoNLL-2014 shared task was devoted to grammatical error correction of all error types. In this paper, we give the task definition, present the data sets, and describe the evaluation metric and scorer used in the shared task. We also give an overview of the various approaches adopted by the participating teams, and present the evaluation results. Compared to the CoNLL2013 shared task, we hav...

2016
Shamil Chollampatt Kaveh Taghipour Hwee Tou Ng

Phrase-based statistical machine translation (SMT) systems have previously been used for the task of grammatical error correction (GEC) to achieve state-of-the-art accuracy. The superiority of SMT systems comes from their ability to learn text transformations from erroneous to corrected text, without explicitly modeling error types. However, phrase-based SMT systems suffer from limitations of d...

2014
Christopher Bryant Raymond Hendy

The CoNLL-2014 shared task was devoted to grammatical error correction of all error types. In this paper, we give the task definition, present the data sets, and describe the evaluation metric and scorer used in the shared task. We also give an overview of the various approaches adopted by the participating teams, and present the evaluation results. Compared to the CoNLL2013 shared task, we hav...

1997
GF A. R. Calderbank E. M. Rains P. W. Shor N. J. A. Sloane

The problem of finding quantum-error-correcting codes is transformed into the problem of finding additive codes over the field GF (4) which are self-orthogonal with respect to a certain trace inner product. Many new codes and new bounds are presented, as well as a table of upper and lower bounds on such codes of length up to 30 qubits. Manuscript received ; revised The authors are with AT&T Lab...

Journal: :Transactions of the Association for Computational Linguistics 2019

2014
Hwee Tou Ng Siew Mei Wu Ted Briscoe Christian Hadiwinoto Raymond Hendy Susanto Christopher Bryant

The CoNLL-2014 shared task was devoted to grammatical error correction of all error types. In this paper, we give the task definition, present the data sets, and describe the evaluation metric and scorer used in the shared task. We also give an overview of the various approaches adopted by the participating teams, and present the evaluation results. Compared to the CoNLL2013 shared task, we hav...

Journal: :International Journal of Applied Linguistics and English Literature 2019

2017
Violaine Michel Lange Maria Messerschmidt Peter Harder Hartwig Roman Siebner Kasper Boye

Grammatical words represent the part of grammar that can be most directly contrasted with the lexicon. Aphasiological studies, linguistic theories and psycholinguistic studies suggest that their processing is operated at different stages in speech production. Models of sentence production propose that at the formulation stage, lexical words are processed at the functional level while grammatica...

2013
Gábor Berend Veronika Vincze Sina Zarrieß Richárd Farkas

We introduce here a participating system of the CoNLL-2013 Shared Task “Grammatical Error Correction”. We focused on the noun number and article error categories and constructed a supervised learning system for solving these tasks. We carried out feature engineering and we found that (among others) the f-structure of an LFG parser can provide very informative features for the machine learning s...

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