Articles

SMT typically models translation at the sen- tence level, ignoring wider document context. Does this hurt the consistency of translated documents? Using a phrase-based SMT sys- tem in various data conditions, we show that SMT translates documents remarkably con- sistently, even without document knowledge. Nevertheless, translation inconsistencies often indicate translation …...

The new frontier of computer assisted transla- tion technology is the effective integration of statistical MT within the translation workflow. In this respect, the SMT ability of incremen- tally learning from the translations produced by users plays a central role. A still open problem is the evaluation of SMT systems …...

In statistical machine translation, word lattices are used to represent the ambiguities in the preprocessing of the source sentence, such as word segmentation for Chinese or morpholog- ical analysis for German. Several approaches have been proposed to define the probability of different paths through the lattice with ex- ternal tools …...

In statistical machine translation (SMT), it is known that performance declines when the training data is in a different domain from the test data. Nevertheless, it is frequently nec- essary to supplement scarce in-domain train- ing data with out-of-domain data. In this pa- per, we first try to relate the …...

Microblogging services such as Twitter have become popular media for real-time user- created news reporting. Such communica- tion often happens in parallel in different lan- guages, e.g., microblog posts related to the same events of the Arab spring were written in Arabic and in English. The goal of this paper …...

Recent work has established the efficacy of Amazon’s Mechanical Turk for constructing parallel corpora for machine translation re- search. We apply this to building a collec- tion of parallel corpora between English and six languages from the Indian subcontinent: Bengali, Hindi, Malayalam, Tamil, Telugu, and Urdu. These languages are low-resource, …...

We describe our experiments with phrase- based machine translation for the WMT 2012 Shared Task. We trained one sys- tem for 14 translation directions between English or Czech on one side and English, Czech, German, Spanish or French on the other side. We describe a set of results with different …...

We developed a string-to-tree system for English–German, achieving competitive re- sults against a hierarchical model baseline. We provide details of our implementation of GHKM rule extraction and scope-3 parsing in the Moses toolkit. We compare systems trained on the same data using different gram- mar extraction methods. 1...

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 hierarchical phrase-based translation models. Different setups have been tested and combined using a sentence selec- tion method. 1...

We provide a few insights on data selection for machine translation. We evaluate the quality of the new CzEng 1.0, a parallel data source used in WMT12. We describe a simple tech- nique for reducing out-of-vocabulary rate af- ter phrase extraction. We discuss the bene- fits of tuning towards multiple …...

Recent developments in search algorithms and software architecture have enabled multi-user web-based prototypes for Inter- active Machine Translation (IMT), a tech- nology that aims to assist, rather than re- place, the human translator. Surprisingly, formal human evaluations of IMT systems are highly scarce in the literature. To this regard, we …...

This paper describes the development of French–English and English–French statisti- cal machine translation systems for the 2012 WMT shared task evaluation. We developed phrase-based systems based on the Moses de- coder, trained on the provided data only. Ad- ditionally, new features this year included im- proved language and translation model …...

We present an improved version of DEPFIX (Mareˇcek et al., 2011), a system for auto- matic rule-based post-processing of English- to-Czech MT outputs designed to increase their fluency. We enhanced the rule set used by the original DEPFIX system and measured the performance of the individual rules. We also modified …...

This paper describes the phrase-based SMT systems developed for our participation in the WMT12 Shared Translation Task. Translations for English↔German and English↔French were generated using a phrase-based translation system which is extended by additional models such as bilingual, fine-grained part-of-speech (POS) and automatic cluster language models and discriminative word lexica. …...

This paper describes the PROMT submission for the WMT12 shared translation task. We participated in two language pairs: English- French and English-Spanish. The translations were made using the PROMT DeepHybrid engine, which is the first hybrid version of the PROMT system. We report on improvements over our baseline RBMT output …...

This paper describes the UPM system for the Spanish-English translation task at the NAACL 2012 workshop on statistical ma- chine translation. This system is based on Mo- ses. We have used all available free corpora, cleaning and deleting some repetitions. In this paper, we also propose a technique for select- …...

This paper describes LIMSI’s submissions to the shared translation task. We report results for French-English and German-English in both directions. Our submissions use n-code, an open source system based on bilingual n-grams. In this approach, both the transla- tion and target language models are estimated as conventional smoothed n-gram models; …...

We report on findings of exploiting large data sets for translation modeling, language mod- eling and tuning for the development of com- petitive machine translation systems for eight language pairs. 1...

We describe a substitution-based system for hybrid machine translation (MT) that has been extended with machine learning components controlling its phrase selection. The approach is based on a rule-based MT (RBMT) system which creates template translations. Based on the rule-based generation parse tree and target-to-target alignments, we identify the set …...

This paper describes the statistical ma- chine translation (SMT) systems developed at RWTH Aachen University for the translation task of the NAACL 2012 Seventh Workshop on Statistical Machine Translation (WMT 2012). We participated in the evaluation campaign for the French-English and German-English language pairs in both translation directions. Both hierarchical …...