Results 61 to 70 of about 30,956 (156)
The problem of dealing with typical grammatical errors made by foreign learners of Russian has been a continuous pursuit in the field of Russian teaching and learning.
E. V. Grudeva, S. A. Soloveva
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Automatical sampling with heterogeneous corpora for grammatical error correction
Thanks to the strong representation capability of the pre-trained language models, supervised grammatical error correction has achieved promising performance.
Shichang Zhu +3 more
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Data Weighted Training Strategies for Grammatical Error Correction
Jared Lichtarge +2 more
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Fewer grammatical errors means less editing [PDF]
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Revisiting Classification Taxonomy for Grammatical Errors
Grammatical error classification plays a crucial role in language learning systems, but existing classification taxonomies often lack rigorous validation, leading to inconsistencies and unreliable feedback. In this paper, we revisit previous classification taxonomies for grammatical errors by introducing a systematic and qualitative evaluation ...
Zou, Deqing +9 more
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Grammatical error correction for low-resource languages: a review of challenges, strategies, computational and future directions. [PDF]
Marier SM, Chen X, Zhu L, Kong X.
europepmc +1 more source
Various Errors Improve Neural Grammatical Error Correction
identifier:oai:t2r2.star.titech.ac.jp ...
openaire
Lost in translation: Decoding the errors in consecutive interpreting by Chinese EFL learners. [PDF]
Zhuang Y, Chen L.
europepmc +1 more source
Revisiting Meta-evaluation for Grammatical Error Correction
Masamune Kobayashi +2 more
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