Search Results for author: Yves Lepage

Found 32 papers, 1 papers with code

CHARCUT: Human-Targeted Character-Based MT Evaluation with Loose Differences

1 code implementation IWSLT 2017 Adrien Lardilleux, Yves Lepage

We present CHARCUT, a character-based machine translation evaluation metric derived from a human-targeted segment difference visualisation algorithm.

Machine Translation Translation

Fast BTG-Forest-Based Hierarchical Sub-sentential Alignment

no code implementations20 Nov 2017 Hao Wang, Yves Lepage

In this paper, we propose a novel BTG-forest-based alignment method.

Translation

An Investigation of the Sampling-Based Alignment Method and Its Contributions

no code implementations21 Aug 2013 Juan Luo, Yves Lepage

By investigating the distribution of phrase pairs in phrase translation tables, the work in this paper describes an approach to increase the number of n-gram alignments in phrase translation tables output by a sampling-based alignment method.

Machine Translation Translation

Combining fast\_align with Hierarchical Sub-sentential Alignment for Better Word Alignments

no code implementations WS 2016 Hao Wang, Yves Lepage

fast align is a simple and fast word alignment tool which is widely used in state-of-the-art machine translation systems.

Machine Translation Translation +1

Improving Patent Translation using Bilingual Term Extraction and Re-tokenization for Chinese--Japanese

no code implementations WS 2016 Wei Yang, Yves Lepage

To improve the translation accuracy, we adjust and balance the granularity of segmentation results around terms for Chinese{--}Japanese patent corpus for training translation model.

Chinese Word Segmentation Machine Translation +3

Production of Phrase Tables in 11 European Languages using an Improved Sub-sentential Aligner

no code implementations LREC 2014 Juan Luo, Yves Lepage

This paper is a partial report of an on-going Kakenhi project which aims to improve sub-sentential alignment and release multilingual syntactic patterns for statistical and example-based machine translation.

Machine Translation Translation

Video-to-HamNoSys Automated Annotation System

no code implementations LREC 2020 Victor Skobov, Yves Lepage

This provides the potential to use HamNoSys, i. e., strings of characters, as a representation of an SL corpus instead of video material.

R\'eseaux de neurones pour la r\'esolution d'analogies entre phrases en traduction automatique par l'exemple (Neural networks for the resolution of analogies between sentences in EBMT )

no code implementations JEPTALNRECITAL 2020 Taill, Valentin ier, Liyan Wang, Yves Lepage

Cet article propose un mod{\`e}le de r{\'e}seau de neurones pour la r{\'e}solution d{'}{\'e}quations analogiques au niveau s{\'e}mantique et entre phrases dans le cadre de la traduction automatique par l{'}exemple.

Zero-shot translation among Indian languages

no code implementations loresmt (AACL) 2020 Rudali Huidrom, Yves Lepage

Standard neural machine translation (NMT) allows a model to perform translation between a pair of languages.

Machine Translation NMT +2

EM Corpus: a comparable corpus for a less-resourced language pair Manipuri-English

no code implementations RANLP (BUCC) 2021 Rudali Huidrom, Yves Lepage, Khogendra Khomdram

In this paper, we introduce a sentence-level comparable text corpus crawled and created for the less-resourced language pair, Manipuri(mni) and English (eng).

Sentence

Introducing EM-FT for Manipuri-English Neural Machine Translation

no code implementations WILDRE (LREC) 2022 Rudali Huidrom, Yves Lepage

The resources reported in this paper are made available in the ELRA catalogue to help the low-resourced languages community with MT/NLP tasks.

Machine Translation NMT +1

Do we Name the Languages we Study? The #BenderRule in LREC and ACL articles

no code implementations LREC 2022 Fanny Ducel, Karën Fort, Gaël Lejeune, Yves Lepage

For this purpose, we created a corpus from LREC and ACL articles from the above-mentioned periods, from which we manually annotated nearly 1, 000.

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