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Construction of a Quality Estimation Dataset for Automatic Evaluation of Japanese Grammatical Error Correction.

, , , , , , , и . LREC, стр. 5565-5572. European Language Resources Association, (2022)

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Aida Nonn

Experimentelle und numerische Analyse des Schädigungsverhaltens von Hybridlaserschweiverbindungen. TU Aachen, (2009)

Patricia Woedem Aidam

Aida Zewdu Kebede

Mu ammad aidar - bkan r

Rolf Aidam

 

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Can Word Sense Distribution Detect Semantic Changes of Words?, , , , и . CoRR, (2023)Construction of Evaluation Dataset for Japanese Lexical Semantic Change Detection., , , и . PACLIC, стр. 125-136. Association for Computational Linguistics, (2023)Modeling Text using the Continuous Space Topic Model with Pre-Trained Word Embeddings., , , и . ACL (student), стр. 138-147. Association for Computational Linguistics, (2021)Analyzing Semantic Changes in Japanese Words Using BERT., , и . PACLIC, стр. 270-280. Association for Computational Lingustics, (2021)Confidence Modeling for Neural Machine Translation., и . IALP, стр. 349-354. IEEE, (2019)Swap and Predict - Predicting the Semantic Changes in Words across Corpora by Context Swapping., и . EMNLP (Findings), стр. 7753-7772. Association for Computational Linguistics, (2023)Unsupervised Semantic Variation Prediction using the Distribution of Sibling Embeddings., и . ACL (Findings), стр. 6868-6882. Association for Computational Linguistics, (2023)A Word Sense Distribution-based approach for Semantic Change Prediction., , , , и . EMNLP (Findings), стр. 3575-3590. Association for Computational Linguistics, (2023)Estimating Machine Translation Quality of Any Input Sentence., и . Int. J. Asian Lang. Process., 30 (1): 2050002:1-2050002:16 (2020)A Semantic Distance Metric Learning approach for Lexical Semantic Change Detection., и . CoRR, (2024)