Eric Castelli’

Also published as: Eric Castelli


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A fully unsupervised approach for mining parallel data from comparable corpora
Thi Ngoc Diep Do | Laurent Besacier | Eric Castelli
Proceedings of the 14th Annual conference of the European Association for Machine Translation


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Mining a Comparable Text Corpus for a Vietnamese-French Statistical Machine Translation System
Thi-Ngoc-Diep Do | Viet-Bac Le | Brigitte Bigi | Laurent Besacier | Eric Castelli
Proceedings of the Fourth Workshop on Statistical Machine Translation


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First Broadcast News Transcription System for Khmer Language
Sopheap Seng | Sethserey Sam | Laurent Besacier | Brigitte Bigi | Eric Castelli
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

In this paper we present an overview on the development of a large vocabulary continuous speech recognition (LVCSR) system for Khmer, the official language of Cambodia, spoken by more than 15 million people. As an under-resourced language, develop a LVCSR system for Khmer is a challenging task. We describe our methodologies for quick language data collection and processing for language modeling and acoustic modeling. For language modeling, we investigate the use of word and sub-word as basic modeling unit in order to see the potential of sub-word units in the case of unsegmented language like Khmer. Grapheme-based acoustic modeling is used to quickly build our Khmer language acoustic model. Furthermore, the approaches and tools used for the development of our system are documented and made publicly available on the web. We hope this will contribute to accelerate the development of LVCSR system for a new language, especially for under-resource languages of developing countries where resources and expertise are limited.


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Spoken and Written Language Resources for Vietnamese
Viet-Bac Le | Do-Dat Tran | Eric Castelli | Laurent Besacier | Jean-François Serignat
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)