Moses

Syntactic reordering approaches are an ef- fective method for handling word-order dif- ferences between source and target lan- guages in statistical machine translation (SMT) systems. This paper introduces a re- …...

We present results and experiences from our experiments with phrase-based statisti- cal machine translation using Moses. The paper is based on the idea of using an off- the-shelf parser to …...

AbstractThis paper describes the HKUST experiments in the IWSLT 2007 evaluation campaign on spoken language translation. Our primary objective was to compare the open-source phrase-based statistical machine translation toolkit Moses …...

AbstractIn this paper, we describe the system and approach used by Institute for Infocomm Research (I2R) for the IWSLT 2007 spoken language evaluation campaign. A multi-pass approach is exploited to …...

AbstractOur statistical machine translation system that uses large Japanese-English parallel sentences and long phrase tables is described. We collected 698,973 Japanese-English parallel sentences, and we used long phrase tables. Also, …...

AbstractThis paper is a description of the system presented by the LIG laboratory to the IWSLT07 speech translation evaluation. The LIG participated, for the first time this year, in the …...

This paper describes our two contributions to WMT08 shared task: factored phrase-based model using Moses and a probabilistic tree- transfer model at a deep syntactic layer. 1...

The Edinburgh submissions to the shared task of the Third Workshop on Statistical Machine Translation (WMT-2008) incorporate recent advances to the open source Moses system. We made a special effort …...

Edinburgh University participated in the WMT 2009 shared task using the Moses phrase-based statistical machine transla- tion decoder, building systems for all lan- guage pairs. The system configuration was identical …...

The paper describes our experiments with English-Czech machine translation for WMT101 in 2010. Focusing primarily on the translation to Czech, our additions to the standard Moses phrase-based MT pipeline include …...

A principal weakness of conventional (i.e., non-hierarchical) phrase-based statistical machine translation is that it can only exploit continuous phrases. In this paper, we extend phrase-based decoding to allow both source …...

This paper describes a statistical machine translation system for our participation for the WMT10 shared task. Based on MOSES, our system is capable of translat- ing German, French and Spanish …...

AbstractThe paper describes some of the work carried out within the European funded project MEDAR. The project has three streams of activity: the technical stream, the cooperation stream and the …...

This paper proposes a novel method for long distance, clause-level reordering in statistical machine translation (SMT). The proposed method separately translates clauses in the source sentence and recon- structs the …...

AbstractIn this paper we use statistical machine translation and morphology information from two different morphological analyzers to try to improve translation quality by linguistically motivated segmentation. The morphological analyzers we …...

We describe our system for the translation task of WMT 2010. This system, devel- oped for the English-French and French- English directions, is based on Moses and was trained using …...

We present a novel machine translation model which models translation by a linear sequence of operations. In contrast to the “N-gram” model, this sequence includes not only trans- lation but …...

Statistical machine translation systems are usually trained on a large amount of bilingual sentence pairs and translate one sentence at a time, ignoring document-level information. In this paper, we propose …...

This paper describes an algorithm for exact decoding of phrase-based translation models, based on Lagrangian relaxation. The method recovers exact solutions, with certificates of optimality, on over 99% of test …...

We present KenLM, a library that imple- ments two data structures for efficient lan- guage model queries, reducing both time and memory costs. The PROBING data structure uses linear probing …...

A majority of the localization indus- try is still unable to benefit from SMT, since it does not know how to integrate SMT system into its production workflow. This paper …...

This paper describes the UZH system that was used for the WMT 2011 system combination shared task submission. We participated in the system combination task for the translation directions DE–EN …...

This paper describes the UPM system for translation task at the EMNLP 2011 workshop on statistical machine translation (http://www.statmt.org/wmt11/), and it has been used for both directions: Spanish-English and English-Spanish. …...

AbstractMultiWord Expressions (MWEs) repesent a key issue for numerous applications in Natural Language Processing (NLP) especially for Machine Translation (MT). In this paper, we describe a strategy for detecting translation …...

Reordering is of essential importance for phrase based statistical machine translation (SMT). In this paper, we would like to present a new method of reordering in phrase based SMT. We …...

AbstractThanks to their rich morphology, Italian and Spanish allow pro-drop pronouns, i.e., non lexically-realized subject pronouns. Here we distinguish between two different types of null subjects: personal pro-drop and impersonal …...

The performance of Phrase-Based Statis- tical Machine Translation (PBSMT) sys- tems mostly depends on training data. Many papers have investigated how to cre- ate new resources in order to increase …...

This paper presents a dependency- constrained hierarchical machine transla- tion model that uses Moses open-source toolkit for rule extraction and decoding. Experiments are carried out for the German-English language pair …...

We describe the LIA machine transla- tion systems for the Russian-English and English-Russian translation tasks. Various factored translation systems were built us- ing MOSES to take into account the mor- …...

This paper describes the TALP participa- tion in the WMT13 evaluation campaign. Our participation is based on the combi- nation of several statistical machine trans- lation systems: based on standard …...

AbstractA novel variation of modified KNESER-NEY model using monomial discounting is presented and integrated into the MOSES statistical machine translation toolkit. The language model is trained on a large training …...

This paper describes the IPN-UPV partici- pation on the English-to-Hindi translation task from WMT 2014 International Evalu- ation Campaign. The system presented is based on Moses and enhanced with deep …...

In this study we compare two machine translation devices on twelve machine translation medical- domain specific tasks, and two transliteration tasks, altogether involving twelve language pairs, including English-Chinese and English-Russian, …...

This work is concerned with incrementally training statistical machine translation (SMT) models when new data becomes available. That, in contrast to re-training new models based on the entire accumulated data. …...

This paper describes LIMSI’s submission to the first medical translation task at WMT’14. We report results for English- French on the subtask of sentence trans- lation from summaries of medical …...

We present a new version of Phrasal, an open-source toolkit for statistical phrase- based machine translation. This revision includes features that support emerging re- search trends such as (a) tuning …...

We show that applying semantic role label constraints to bracketing ITG alignment to train MT systems improves the quality of MT output in comparison to the conventional BITG and GIZA …...

This paper describes LIMSI’s submis- sions to the shared WMT’15 translation task. We report results for French-English, Russian-English in both directions, as well as for Finnish-into-English. Our submis- sions use …...

This paper presents a machine transla- tion tool – based on Moses – developed for the International Maritime Organiza- tion (IMO) for the automatic translation of documents from Spanish, French, …...

Speed of access is a very important prop- erty for phrase tables in phrase based sta- tistical machine translation as they are queried many times per sentence. In this paper …...

Information about the antecedents of pro- nouns is considered essential to solve cer- tain translation divergencies, such as those concerning the English pronoun it when translated into gendered languages, e.g. …...

We propose to enhance the RNN decoder in a neural machine translator (NMT) with external memory, as a natural but power- ful extension to the state in the decoding RNN. …...

AbstractThe objective of this paper was to evaluate the performance of two statistical machine translation (SMT) systems within a cross-language information retrieval (CLIR) architecture and examine if there is a …...

AbstractThe paper presents a deep factored machine translation (MT) system between English and Bulgarian languages in both directions. The MT system is hybrid. It consists of three main steps: (1) …...

AbstractThis paper describes an empirical study of the phrase-based decoding algorithm proposed by Chang and Collins (2017). The algorithm produces a translation by processing the source-language sentence in strictly left-to-right …...

Specific-domain bilingual lexicons play an important role for domain adaptation in machine translation. The entries of these types of lexicons are mostly composed of MultiWord Expressions (MWEs). The manual construction …...

The Scielo database is an important source of scientific information in Latin America, containing articles from several research domains. A striking characteristic of Scielo is that many of its full-text …...