Results 261 to 270 of about 197,364 (293)
Some of the next articles are maybe not open access.
Proceedings of the International Conference on Head-Driven Phrase Structure Grammar, 2022
Computational Grammars can be adapted to detect ungrammatical sentences, effectively transforming them into error detection (or correction) systems. In this paper we provide a theoretical account of how to adapt implemented HPSG grammars for grammatical error detection.
Luis Morgado da Costa, Francis Bond
openaire +1 more source
Computational Grammars can be adapted to detect ungrammatical sentences, effectively transforming them into error detection (or correction) systems. In this paper we provide a theoretical account of how to adapt implemented HPSG grammars for grammatical error detection.
Luis Morgado da Costa, Francis Bond
openaire +1 more source
Weaken Grammatical Error Influence in Chinese Grammatical Error Correction
2020Chinese grammatical error correction (CGEC), a task of correcting grammatical errors in text, is treated as a translation task, where error sentences are “translated” to correct sentences. However, some grammatical errors in the training data can confuse the CGEC models and have negative influence in the “translating” process. In this paper, we propose
Jinggui Liang, Si Li
openaire +1 more source
Grammatical Versus Pragmatic Error
Business and Professional Communication Quarterly, 2016Many communication instructors make allowances for grammatical error in nonnative English speakers’ writing, but do businesspeople do the same? We asked 169 businesspeople to comment on three versions of an email with different types of errors. We found that businesspeople do make allowances for errors made by nonnative English speakers, perceiving ...
Joanna Wolfe +2 more
openaire +1 more source
Correcting Grammatical Verb Errors
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014Verb errors are some of the most common mistakes made by non-native writers of English but some of the least studied. The reason is that dealing with verb errors requires a new paradigm; essentially all research done on correcting grammatical errors assumes a closed set of triggers ‐ e.g., correcting the use of prepositions or articles ‐ but ...
Alla Rozovskaya +2 more
openaire +1 more source
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, 2014This 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
openaire +1 more source
Grammatical Errors and Feedback
CALICO Journal, 2003This 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
openaire +1 more source
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 ...
openaire +1 more source
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 ...
openaire +1 more source
Automatic annotation of error types for grammatical error correction
2019Grammatical 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.
openaire +2 more sources