Search Results for author: Chao-Hong Liu

Found 13 papers, 0 papers with code

Findings of the LoResMT 2021 Shared Task on COVID and Sign Language for Low-resource Languages

no code implementations MTSummit 2021 Atul Kr. Ojha, Chao-Hong Liu, Katharina Kann, John Ortega, Sheetal Shatam, Theodorus Fransen

Maximum system performance was computed using BLEU and follow as 36. 0 for English--Irish, 34. 6 for Irish--English, 24. 2 for English--Marathi, and 31. 3 for Marathi--English.

Machine Translation Translation

Multiple Segmentations of Thai Sentences for Neural Machine Translation

no code implementations LREC 2020 Alberto Poncelas, Wichaya Pidchamook, Chao-Hong Liu, James Hadley, Andy Way

Thai is a low-resource language, so it is often the case that data is not available in sufficient quantities to train an Neural Machine Translation (NMT) model which perform to a high level of quality.

Machine Translation NMT +1

The RGNLP Machine Translation Systems for WAT 2018

no code implementations PACLIC 2018 Atul Kr. Ojha, Koel Dutta Chowdhury, Chao-Hong Liu, Karan Saxena

This paper presents the system description of Machine Translation (MT) system(s) for Indic Languages Multilingual Task for the 2018 edition of the WAT Shared Task.

Machine Translation Translation

Extracting In-domain Training Corpora for Neural Machine Translation Using Data Selection Methods

no code implementations WS 2018 Catarina Cruz Silva, Chao-Hong Liu, Alberto Poncelas, Andy Way

Data selection is a process used in selecting a subset of parallel data for the training of machine translation (MT) systems, so that 1) resources for training might be reduced, 2) trained models could perform better than those trained with the whole corpus, and/or 3) trained models are more tailored to specific domains.

Machine Translation NMT +1

Understanding Meanings in Multilingual Customer Feedback

no code implementations5 Jun 2018 Chao-Hong Liu, Declan Groves, Akira Hayakawa, Alberto Poncelas, Qun Liu

Understanding and being able to react to customer feedback is the most fundamental task in providing good customer service.

General Classification

Chinese-Portuguese Machine Translation: A Study on Building Parallel Corpora from Comparable Texts

no code implementations LREC 2018 Siyou Liu, Long-Yue Wang, Chao-Hong Liu

The approach we used in this paper also shows a good example on how to boost performance of MT systems for low-resource language pairs.

Machine Translation NMT +1

Ethical Considerations in NLP Shared Tasks

no code implementations WS 2017 Carla Parra Escart{\'\i}n, Wessel Reijers, Teresa Lynn, Joss Moorkens, Andy Way, Chao-Hong Liu

Shared tasks are increasingly common in our field, and new challenges are suggested at almost every conference and workshop.

Ethics Machine Translation

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