Results 251 to 260 of about 164,995 (278)

Generating artificial errors for grammatical error correction

Proceedings of the Student Research Workshop at the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014
This paper explores the generation of artificial errors for correcting grammatical mistakes made by learners of English as a second language. Artificial errors are injected into a set of error-free sentences in a probabilistic manner using statistics from a corpus.
Mariano Felice, Zheng Yuan
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Grammatical Errors Communication Breakdown

TESOL Quarterly, 1980
Grammatical accuracy is not always required of ESL students in order for them to communicate with native speakers. This study investigates the relationship between grammatical errors and communication breakdown. It examines native speakers' ability to correct grammatical errors on the assumption that communication breakdown exists to a certain degree ...
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Grammatical Errors and Feedback

CALICO Journal, 2003
This article discusses selected theoretical aspects of providing error feedback for language learners. The discussion focuses on feedback for grammatical errors, but many of its tenets appear to be of broader relevance. The theoretical considerations concerning the dialog with the learner about linguistic errors are discussed, and some conclusions for
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Grammatical error prediction

2011
In this thesis, we investigate methods for automatic detection, and to some extent correction, of grammatical errors. The evaluation is based on manual error annotation in the Cambridge Learner Corpus (CLC), and automatic or semi-automatic annotation of error corpora is one possible application, but the methods are also applicable in other settings ...
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Automatic annotation of error types for grammatical error correction

2019
Grammatical Error Correction (GEC) is the task of automatically detecting and correcting grammatical errors in text. Although previous work has focused on developing systems that target specific error types, the current state of the art uses machine translation to correct all error types simultaneously.
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Optimizing the impact of data augmentation for low-resource grammatical error correction

Journal of King Saud University - Computer and Information Sciences, 2023
Aiman Solyman
exaly  

Multilingual fine-tuning for Grammatical Error Correction

Expert Systems With Applications, 2022
Krzysztof Pająk
exaly  

Grammatical error

Physics Today, 1972
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Incorporating rich syntax information in Grammatical Error Correction

Information Processing and Management, 2022
Zuchao Li, Kevin Parnow, Hai Zhao
exaly  

A GRAMMATICAL NON‐ERROR

Medical Journal of Australia, 1972
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