Results 11 to 20 of about 1,711,686 (277)
Students’ Grammatical Error Analysis in Speaking [PDF]
The purposes of this research were to find out the kinds of students’ grammatical error, and to figure out the dominant kind of grammatical error in speaking. The research design was descriptive research.
REFA ANJENG SARI
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Minimally-Augmented Grammatical Error Correction [PDF]
There has been an increased interest in low-resource approaches to automatic grammatical error correction. We introduce Minimally-Augmented Grammatical Error Correction (MAGEC) that does not require any error-labelled data. Our unsupervised approach is based on a simple but effective synthetic error generation method based on confusion sets from ...
Grundkiewicz, Roman +1 more
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Mining Error Templates for Grammatical Error Correction
Some grammatical error correction (GEC) systems incorporate hand-crafted rules and achieve positive results. However, manually defining rules is time-consuming and laborious. In view of this, we propose a method to mine error templates for GEC automatically. An error template is a regular expression aiming at identifying text errors.
Yue Zhang 0004 +5 more
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Inaccuracy of An Examination of Grammatical Error
When it comes to the construction of a communication process, grammar plays a significant part. It is utilized to make a clear declaration about the time at which a verb happens.
Shabri Abd. Majid
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Adversarial Grammatical Error Correction [PDF]
Recent works in Grammatical Error Correction (GEC) have leveraged the progress in Neural Machine Translation (NMT), to learn rewrites from parallel corpora of grammatically incorrect and corrected sentences, achieving state-of-the-art results. At the same time, Generative Adversarial Networks (GANs) have been successful in generating realistic texts ...
Vipul Raheja, Dimitrios Alikaniotis
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Grammatical Error Correction with Dependency Distance [PDF]
Grammatical Error Correction (GEC) task is always considered as low resource machine translation task which translates a sentence in an ungrammatical language to a grammatical language. As the state-of-the-art approach to GEC task, transformer-based neural machine translation model takes input sentence as a token sequence without sentence's structure ...
Haowen Lin +3 more
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EXPLORING EFL LEARNERS’ GRAMMATICAL ERROR IN PARAGRAPH WRITING [PDF]
Writing is the most difficult skill in English, so most English as a foreign language (EFL) learners tend to make errors in writing. In assisting the learners to sucessfully acquire writing skill, the analysis of errors and the understanding of their ...
Cahyani, Dian Anik, Rizaldi, Aditya
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Crowdsourcing for grammatical error correction [PDF]
We discuss the problem of grammatical error correction, which has gained attention for its usefulness both in the development of tools for learners of foreign languages and as a component of statistical machine translation systems. We believe the task of suggesting grammar and style corrections in writing is well suited to a crowdsourcing solution but ...
Ellie Pavlick +2 more
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Method for Chinese Grammar Error Detection Integrating ELECTRA and Text Local Information [PDF]
Grammar error detection is a basic task in natural language processing.The task aims to automatically identify typos, grammar, and word order errors in text.Compared with other languages, Chinese grammar is flexible and lacks symbolic information such as
CHEN Bailin, WANG Tianji, REN Lina, HUANG Ruizhang
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Analyzing Grammatical Error in Students' Recount Text Writing in Junior High School
Having good grammar is one of important components in the mastery of writing skills. However, grammatical errors still become an important problem in writing, especially for EFL students.
Ni Putu Ines Marylena Candra Manik +1 more
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