Image de couverture de livre

An Empirical Study on Chinese Character Decomposition in Multiword Expression-Aware Neural Machine Translation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Han, Lifeng, Jones, Gareth J. F., Smeaton, Alan F.
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Evaluating the Impact of Verbal Multiword Expressions on Machine Translation
par: Liu, Linfeng, et autres
Publié: (2025)

Towards a resource for multilingual lexicons: an MT assisted and human-in-the-loop multilingual parallel corpus with multi-word expression annotation
par: Han, Lifeng, et autres
Publié: (2020)

A Curious Class of Adpositional Multiword Expressions in Korean
par: Min, Junghyun, et autres
Publié: (2026)

CoAM: Corpus of All-Type Multiword Expressions
par: Ide, Yusuke, et autres
Publié: (2024)

Semantics of Multiword Expressions in Transformer-Based Models: A Survey
par: Miletić, Filip, et autres
Publié: (2024)

Neural Machine Translation of Clinical Text: An Empirical Investigation into Multilingual Pre-Trained Language Models and Transfer-Learning
par: Han, Lifeng, et autres
Publié: (2023)

Attention on Multiword Expressions: A Multilingual Study of BERT-based Models with Regard to Idiomaticity and Microsyntax
par: Zaitova, Iuliia, et autres
Publié: (2025)

Evaluating Large Language Models on Multiword Expressions in Multilingual and Code-Switched Contexts
par: De Leon, Frances Laureano, et autres
Publié: (2025)

An Empirical Study on the Robustness of Massively Multilingual Neural Machine Translation
par: Supryadi, et autres
Publié: (2024)

CANTONMT: Investigating Back-Translation and Model-Switch Mechanisms for Cantonese-English Neural Machine Translation
par: Hong, Kung Yin, et autres
Publié: (2024)

Advancing Dialectal Arabic to Modern Standard Arabic Machine Translation
par: Alabdullah, Abdullah, et autres
Publié: (2025)

Rare but Severe Neural Machine Translation Errors Induced by Minimal Deletion: An Empirical Study on Chinese and English
par: Shi, Ruikang, et autres
Publié: (2022)

Breaking Bad: Norms for Valence, Arousal, and Dominance for over 10k English Multiword Expressions
par: Mohammad, Saif M.
Publié: (2025)

A Review of Multi-Modal Large Language and Vision Models
par: Carolan, Kilian, et autres
Publié: (2024)

An Empirical Study of In-context Learning in LLMs for Machine Translation
par: Chitale, Pranjal A., et autres
Publié: (2024)

Syntax-Aware Complex-Valued Neural Machine Translation
par: Liu, Yang, et autres
Publié: (2023)

From Trial by Fire To Sleep Like a Baby: A Lexicon of Anxiety Associations for 20k English Multiword Expressions
par: Mohammad, Saif M.
Publié: (2026)

A Case Study on Context-Aware Neural Machine Translation with Multi-Task Learning
par: Appicharla, Ramakrishna, et autres
Publié: (2024)

Towards Better Chinese-centric Neural Machine Translation for Low-resource Languages
par: Li, Bin, et autres
Publié: (2022)

Non-Linear Scoring Model for Translation Quality Evaluation
par: Gladkoff, Serge, et autres
Publié: (2025)

Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine Translation
par: Edman, Lukas, et autres
Publié: (2023)

Capturing Bias Diversity in LLMs
par: Gosavi, Purva Prasad, et autres
Publié: (2024)

Importance-Aware Data Augmentation for Document-Level Neural Machine Translation
par: Wu, Minghao, et autres
Publié: (2024)

Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study
par: Cui, Menglong, et autres
Publié: (2025)

An Empirical Study of Many-Shot In-Context Learning for Machine Translation of Low-Resource Languages
par: Lu, Yinhan, et autres
Publié: (2026)

C-LLM: Learn to Check Chinese Spelling Errors Character by Character
par: Li, Kunting, et autres
Publié: (2024)

Aligning Neural Machine Translation Models: Human Feedback in Training and Inference
par: Ramos, Miguel Moura, et autres
Publié: (2023)

Ara-HOPE: Human-Centric Post-Editing Evaluation for Dialectal Arabic to Modern Standard Arabic Translation
par: Alabdullah, Abdullah, et autres
Publié: (2025)

Benchmarking Machine Translation on Chinese Social Media Texts
par: Zhao, Kaiyan, et autres
Publié: (2026)

MTUncertainty: Assessing the Need for Post-editing of Machine Translation Outputs by Fine-tuning OpenAI LLMs
par: Gladkoff, Serge, et autres
Publié: (2023)

Benchmarking Machine Translation with Cultural Awareness
par: Yao, Binwei, et autres
Publié: (2023)

An Efficient Approach for Machine Translation on Low-resource Languages: A Case Study in Vietnamese-Chinese
par: Son, Tran Ngoc, et autres
Publié: (2025)

Machine Translation Evaluation Benchmark for Wu Chinese: Workflow and Analysis
par: Yu, Hongjian, et autres
Publié: (2024)

Translation in the Hands of Many:Centering Lay Users in Machine Translation Interactions
par: Savoldi, Beatrice, et autres
Publié: (2025)

Introducing Quality Estimation to Machine Translation Post-editing Workflow: An Empirical Study on Its Usefulness
par: Liu, Siqi, et autres
Publié: (2025)

Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis
par: Zhu, Wenhao, et autres
Publié: (2023)

QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation
par: Faria, Gonçalo R. A., et autres
Publié: (2024)

Meta-Evaluation of Translation Evaluation Methods: a systematic up-to-date overview
par: Han, Lifeng, et autres
Publié: (2016)

Semantic Prosody in Machine Translation: the English-Chinese Case of Passive Structures
par: Ma, Xinyue, et autres
Publié: (2025)

Translation via Annotation: A Computational Study of Translating Classical Chinese into Japanese
par: Li, Zilong, et autres
Publié: (2025)