SYSTRAN

Known as: Peter Toma 
SYSTRAN, founded by Dr. Peter Toma in 1968, is one of the oldest machine translation companies. SYSTRAN has done extensive work for the United States… (More)
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Papers overview

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2017
2017
This paper describes SYSTRAN’s systems submitted to the WMT 2017 shared news translation task for English-German, in both… (More)
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2016
2016
Since the first online demonstration of Neural Machine Translation (NMT) by LISA (Bahdanau et al., 2014), NMT development has… (More)
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2011
2011
Two machine translation (MT) systems, a statistical MT (SMT) system and a hybrid system (rule-based and SMT) were tested in order… (More)
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2009
2009
We describe here the two Systran/University of Edinburgh submissions for WMT2009. They involve a statistical post-editing model… (More)
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Highly Cited
2007
Highly Cited
2007
This article describes the combination of a SYSTRAN system with a “statistical postediting” (SPE) system. We document qualitative… (More)
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2007
2007
One of the mottos of pure statistical MT system promoters is that it is possible to “build a new language pair” overnight, but… (More)
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Highly Cited
2005
Highly Cited
2005
With growing interest in Chinese Language Processing, numerous NLP tools (e.g., word segmenters, part-of-speech taggers, and… (More)
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2003
2003
SYSTRAN’s Chinese word segmentation is one important component of its Chinese-English machine translation system. The Chinese… (More)
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2003
2003
Customizing a general-purpose MT system is an effective way to improve machine translation quality for specific usages. Building… (More)
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1997
1997
SYSTRAN has demonstrated success in the MT field with its long history spanning nearly 30 years. As a general-purpose fully… (More)
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