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HMM-based models are developed for the alignment of words and phrases in bitext. The models are formulated so that align- ment and parameter estimation can be per- formed efficiently. We …...

In this paper we propose a phrase-based translation system. In the system, we use phrase translation model instead of word-based model. An improved method of computing phrase translation probability is …...

Nowadays, most of the statistical translation systems are based on phrases (i.e. groups of words). We describe a phrase-based system using a modified method for the phrase extraction which deals …...

This paper reports translation results for the “Exploiting Parallel Texts for Statis- tical Machine Translation” (HLT-NAACL Workshop on Parallel Texts 2006). We have studied different techniques to im- prove the …...

. Recent research has shown the importance of using source context information to disambiguate source phrases in phrase-based Sta- tistical Machine Translation. Although encouraging results have been obtained, those studies …...

State-of-the-art Machine Translation (MT) sys- tems are still far from being perfect. An alterna- tive is the so-called Interactive Machine Transla- tion (IMT) framework. In this framework, the knowledge of …...

. Although several recent studies have shown that alignment quality is a poor in- dicator of the resulting translation quality, the word alignment models currently considered to be default (the …...

This paper describes the system presented for the English-Spanish translation task by the collaboration between CEU-UCH and UPV for 2011 WMT. A comparison of indepen- dent phrase-based translation models interpo- …...

Extending phrase-based Statistical Ma- chine Translation systems with a second, dynamic phrase table has been done for multiple purposes. Promising results have been reported for hybrid or multi-engine machine translation, …...

This paper describes a novel technique for in- corporating syntactic knowledge into phrase- based machine translation through incremen- tal syntactic parsing. Bottom-up and top- down parsers typically require a completed …...

Translation results suffer when a standard phrase-based statistical machine transla- tion system is used for translating long sen- tences. The translation output will not pre- serve the same word order …...

We describe DFKI’s statistical based submis- sion to the 2012 WMT evaluation. The sub- mission is based on the freely available ma- chine translation toolkit Jane, which supports phrase-based and …...

Phrase-based machine translation models have shown to yield better translations than Word-based models, since phrase pairs en- code the contextual information that is needed for a more accurate translation. However, …...

Beam search is a fast and empirically effective method for translation decoding, but it lacks formal guarantees about search error. We de- velop a new decoding algorithm that combines the …...

AbstractResources of manual word alignments contain configurations that are beyond the alignment capacity of current translation models, hence the term complex alignment configuration. They have been the matter of some …...

This paper describes the system jointly de- veloped by members of the Departament de Llenguatges i Sistemes Inform`atics at Universitat d’Alacant and the Promp- sit Language Engineering company for the …...

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- …...

In recent years, several studies have ap- proached the Text Simplification (TS) task as a machine translation (MT) problem. They report promising results in learning how to translate from ‘original’ …...

This paper describes the Johns Hop- kins University submissions to the shared translation task of EMNLP 2017 Sec- ond Conference on Machine Translation (WMT 2017). We set up phrase-based, syntax-based …...

AbstractThis paper introduces the first corpus for Automatic Post-Editing of English and a low-resource language, Brazilian Portuguese. The source English texts were extracted from the WebNLG corpus and automatically translated …...

AbstractThe Sumerian cuneiform script was invented more than 5,000 years ago and represents one of the oldest in history. We present the first attempt to translate Sumerian texts into English …...