Hai-Son Le

Also published as: Hai Son Le, Hai-son Le


2013

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LIMSI @ WMT13
Alexander Allauzen | Nicolas Pécheux | Quoc Khanh Do | Marco Dinarelli | Thomas Lavergne | Aurélien Max | Hai-Son Le | François Yvon
Proceedings of the Eighth Workshop on Statistical Machine Translation

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The speech recognition and machine translation system of IOIT for IWSLT 2013
Ngoc-Quan Pham | Hai-Son Le | Tat-Thang Vu | Chi-Mai Luong
Proceedings of the 10th International Workshop on Spoken Language Translation: Evaluation Campaign

This paper describes the Automatic Speech Recognition (ASR) and Machine Translation (MT) systems developed by IOIT for the evaluation campaign of IWSLT2013. For the ASR task, using Kaldi toolkit, we developed the system based on weighted finite state transducer. The system is constructed by applying several techniques, notably, subspace Gaussian mixture models, speaker adaptation, discriminative training, system combination and SOUL, a neural network language model. The techniques used for automatic segmentation are also clarified. Besides, we compared different types of SOUL models in order to study the impact of words of previous sentences in predicting words in language modeling. For the MT task, the baseline system was built based on the open source toolkit N-code, then being augmented by using SOUL on top, i.e., in N-best rescoring phase.

2012

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Continuous Space Translation Models with Neural Networks
Hai Son Le | Alexandre Allauzen | François Yvon
Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

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Measuring the Influence of Long Range Dependencies with Neural Network Language Models
Hai Son Le | Alexandre Allauzen | François Yvon
Proceedings of the NAACL-HLT 2012 Workshop: Will We Ever Really Replace the N-gram Model? On the Future of Language Modeling for HLT

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Joint WMT 2012 Submission of the QUAERO Project
Markus Freitag | Stephan Peitz | Matthias Huck | Hermann Ney | Jan Niehues | Teresa Herrmann | Alex Waibel | Hai-son Le | Thomas Lavergne | Alexandre Allauzen | Bianka Buschbeck | Josep Maria Crego | Jean Senellart
Proceedings of the Seventh Workshop on Statistical Machine Translation

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LIMSI @ WMT12
Hai-Son Le | Thomas Lavergne | Alexandre Allauzen | Marianna Apidianaki | Li Gong | Aurélien Max | Artem Sokolov | Guillaume Wisniewski | François Yvon
Proceedings of the Seventh Workshop on Statistical Machine Translation

2011

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LIMSI @ WMT11
Alexandre Allauzen | Hélène Bonneau-Maynard | Hai-Son Le | Aurélien Max | Guillaume Wisniewski | François Yvon | Gilles Adda | Josep Maria Crego | Adrien Lardilleux | Thomas Lavergne | Artem Sokolov
Proceedings of the Sixth Workshop on Statistical Machine Translation

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LIMSI’s experiments in domain adaptation for IWSLT11
Thomas Lavergne | Alexandre Allauzen | Hai-Son Le | François Yvon
Proceedings of the 8th International Workshop on Spoken Language Translation: Evaluation Campaign

LIMSI took part in the IWSLT 2011 TED task in the MT track for English to French using the in-house n-code system, which implements the n-gram based approach to Machine Translation. This framework not only allows to achieve state-of-the-art results for this language pair, but is also appealing due to its conceptual simplicity and its use of well understood statistical language models. Using this approach, we compare several ways to adapt our existing systems and resources to the TED task with mixture of language models and try to provide an analysis of the modest gains obtained by training a log linear combination of inand out-of-domain models.

2010

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Training Continuous Space Language Models: Some Practical Issues
Hai Son Le | Alexandre Allauzen | Guillaume Wisniewski | François Yvon
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing