Results 241 to 250 of about 58,487 (271)

Navigating the landscape of academic prose: A corpus-driven inquiry into rhetorical preferences and their pedagogical implications for advanced L2 writers. [PDF]

PLoS One
Yu Y, Xu Y, Wu Y.
europepmc   +1 more source

Accent related errors in clinical speech transcription and a LLM-based remedy. [PDF]

NPJ Digit Med
Fatapour Y, Samaan JS, Tatonetti NP, Inclusive AI Research Group.   +3 more
europepmc   +1 more source

Corrigendum: Exploring perceived barriers and attitudes in young adults towards antidepressant pharmacotherapy, including the implementation of pharmacogenetic testing to optimize prescription practices. [PDF]

Front Pharmacol
Roberts B, Cooper Z, Landery G, Stanley S, Majda BT, Collins KRL, Akkari PA, Hood SD, Rodger J.   +8 more
europepmc   +1 more source

Correction: Phylogenomics of angiosperms based on mitochondrial genes: insights into deep node relationships. [PDF]

BMC Biol
Lin D, Shao B, Gao Z, Li J, Li Z, Li T, Huang W, Zhong X, Xu C, Chase MW, Jin X.   +10 more
europepmc   +1 more source

Retrieval-Based Grammatical Error Correction

Retrieval-Based Grammatical Error Correction
openaire  

Simulating the "cultural other": the impact of GenAI interlocutors on EFL learners' intercultural communicative competence, speaking anxiety, and learning engagement. [PDF]

Front Psychol
Qu Z, Chen L.
europepmc   +1 more source

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Multilingual fine-tuning for Grammatical Error Correction

Expert Systems with Applications, 2022
Krzysztof Pająk, Dominik Pająk
openaire   +3 more sources

Efficient Grammatical Error Correction with Hierarchical Error Detections and Correction

2021 IEEE International Conference on Web Services (ICWS), 2021
Noisy text is common in semantic services and can have bad effects. Grammatical Error Correction (GEC) can be used to improve text quality, but traditional neural machine translation approaches need hundreds of milliseconds to correct a single text, which is unacceptable to time-sensitive services.
Fayu Pan, Bin Cao
openaire   +1 more source

Correcting Grammatical Verb Errors

Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014
Verb 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, Dan Roth, Vivek Srikumar   +2 more
openaire   +1 more source