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We give an overview of the RWTH phrase-based statistical machine translation system that was used in the evaluation campaign of the International Workshop on Spoken Lan- guage Translation 2005. We …...

AbstractIn this paper we give an overview of the 2007 evaluation campaign for the International Workshop on Spoken Language Translation (IWSLT)1. As with previous evaluation campaigns, the primary focus of …...

AbstractThis paper describes the CMU-UKA statistical machine translation systems submitted to the IWSLT 2007 evaluation campaign. Systems were submitted for three language-pairs: Japanese→English, Chinese→English and Arabic→English. All systems were based …...

While significant effort has been put into an- notating linguistic resources for several lan- guages, there are still many left that have only small amounts of such resources. This paper …...

Models of word alignment built as sequences of links have limited expressive power, but are easy to decode. Word aligners that model the alignment matrix can express arbitrary align- ments, …...

AbstractWe have been creating large-scale manual word alignment corpora for Arabic-English and Chinese-English language pairs in genres such as newsire, broadcast news and conversation, and web blogs. We are now …...

We present a fast and scalable online method for tuning statistical machine trans- lation models with large feature sets. The standard tuning algorithm—MERT—only scales to tens of features. Recent discrimi- …...

This work presents two different trans- lation models using recurrent neural net- works. The first one is a word-based ap- proach using word alignments. Second, we present phrase-based translation mod- …...

Artificial neural networks are powerful mod- els, which have been widely applied into many aspects of machine translation, such as language modeling and translation mod- eling. Though notable improvements have …...

We describe the machine translation sys- tems developed at the National Research Council of Canada (NRC) for the Russian- English and Chinese-English news trans- lation tasks of the Second Conference …...

AbstractIn this paper, we describe GTCOM’s neural machine translation(NMT) systems for the International Workshop on Spoken Language Translation(IWSLT) 2017. We participated in the English-to-Chinese and Chinese-to-English tracks in the small …...

This paper describes the Neural Machine Translation systems of Xiamen University for the translation tasks of WMT 17. Our systems are based on the Encoder-Decoder framework with attention. We partici- …...

AbstractAdaptive policies are better than fixed policies for simultaneous translation, since they can flexibly balance the tradeoff between translation quality and latency based on the current context information. But previous …...

AbstractPrevious works have shown that contextual information can improve the performance of neural machine translation (NMT). However, most existing document-level NMT methods failed to leverage contexts beyond a few set …...

AbstractThis paper presents the results of the WMT21 Metrics Shared Task. Participants were asked to score the outputs of the translation systems competing in the WMT21 News Translation Task with …...