Articles

Confusion network decoding has been the most successful approach in combining out- puts from multiple machine translation (MT) systems in the recent DARPA GALE and NIST Open MT evaluations. Due to the vary- ing word order between outputs from differ- ent MT systems, the hypothesis alignment presents the biggest challenge …...

This paper presents a technique for class- dependent decoding for statistical machine translation (SMT). The approach differs from previous methods of class-dependent transla- tion in that the class-dependent forms of all models are integrated directly into the decod- ing process. We employ probabilistic mixture weights between models that can change …...

Based on an architecture that allows to com- bine statistical machine translation (SMT) with rule-based machine translation (RBMT) in a multi-engine setup, we present new results that show that this type of system combination can actually increase the lexical coverage of the resulting hybrid system, at least as far as …...

This paper describes SYSTRAN submissions for the shared task of the third Workshop on Statistical Machine Translation at ACL. Our main contribution consists in a French-English statistical model trained without the use of any human-translated parallel corpus. In substitu- tion, we translated a monolingual corpus with SYSTRAN rule-based translation engine …...

We apply the Stat-XFER statistical transfer machine translation framework to the task of translating from French and German into En- glish. We introduce statistical methods within our framework that allow for the principled extraction of syntax-based transfer rules from parallel corpora given word alignments and constituency parses. Performance is evaluated …...

Our participation in the shared translation task at WMT-08 focusses on news translation from English to French. Our main goal is to con- trast a baseline version of the phrase-based MATRAX system, with a version that incor- porates syntactic “coupling” features in order to discriminate translations produced by the baseline …...

This paper describes the statistical machine trans- lation systems submitted to the ACL-WMT 2008 shared translation task. Systems were submitted for two translation directions: English→Spanish and Spanish→English. Using sentence pair confidence scores estimated with source and target language models, improvements are observed on the News- Commentary test sets. Genre-dependent sentence …...

We describe the experiments of the UC Berke- ley team on improving English-Spanish ma- chine translation of news text, as part of the WMT’08 Shared Translation Task. We ex- periment with domain adaptation, combin- ing a small in-domain news bi-text and a large out-of-domain one from the Europarl corpus, building …...

In this paper, we give a description of the ma- chine translation system developed at DCU that was used for our participation in the eval- uation campaign of the Third Workshop on Statistical Machine Translation at ACL 2008. We describe the modular design of our data- driven MT system with …...

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 on the German– English and English–German language pairs, leading to substantial improvements. 1...

We present a new English→Czech machine translation system combining linguistically motivated layers of language description (as defined in the Prague Dependency Treebank annotation scenario) with statistical NLP ap- proaches. 1...

We describe the LIU systems for German- English and English-German translation sub- mitted to the Shared Task of the Third Work- shop of Statistical Machine Translation. The main features of the systems, as compared with the baseline, is the use of morphologi- cal pre- and post-processing, and a sequence model …...

We describe the Cambridge University En- gineering Department phrase-based statisti- cal machine translation system for Spanish- English and French-English translation in the ACL 2008 Third Workshop on Statistical Ma- chine Translation Shared Task. The CUED system follows a generative model of trans- lation and is implemented by composition of component …...

The novel kernel regression model for SMT only demonstrated encouraging results on small-scale toy data sets in previous works due to the complexities of kernel methods. It is the first time results based on the real-world data from the shared translation task will be reported at ACL 2008 Workshop on …...

This paper describes an initial version of a general purpose French/English statistical ma- chine translation system. The main features of this system are the open-source Moses de- coder, the integration of a bilingual dictionary and a continuous space target language model. We analyze the performance of this system on the …...

This paper describes our submissions to the machine translation evaluation shared task in ACL WMT-08. Our primary submission is the Meteor metric tuned for optimizing correla- tion with human rankings of translation hy- potheses. We show significant improvement in correlation as compared to the earlier ver- sion of metric which …...

This paper analyzes the translation qual- ity of machine translation systems for 10 language pairs translating between Czech, English, French, German, Hungarian, and Spanish. We report the translation quality of over 30 diverse translation systems based on a large-scale manual evaluation involv- ing hundreds of hours of effort. We use …...

We propose three enhancements to the tree- to-string (TTS) transducer for machine trans- lation: first-level expansion-based normaliza- tion for TTS templates, a syntactic align- ment framework integrating the insertion of unaligned target words, and subtree-based n- gram model addressing the tree decomposi- tion probability. Empirical results show that these methods …...

Word alignments that violate syntactic cor- respondences interfere with the extraction of string-to-tree transducer rules for syntax- based machine translation. We present an algorithm for identifying and deleting incor- rect word alignment links, using features of the extracted rules. We obtain gains in both alignment quality and translation quality in …...