Articles

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 shared translation task of the 2014 Workshop on Statistical Machine Trans- lation. We present a phrase-based sta- tistical machine translation …...

This paper presents the machine trans- lation systems submitted by the Abu- MaTran project to the WMT 2014 trans- lation task. The language pair concerned is English–French with a focus on French as the target language. The French to En- glish translation direction is also consid- ered, based on the …...

This paper describes the DCU-Lingo24 submission to WMT 2014 for the Hindi- English translation task. We exploit miscellaneous methods in our system, including: Context-Informed PB-SMT, OOV Word Conversion (OWC), Multi- Alignment Combination (MAC), Oper- ation Sequence Model (OSM), Stem- ming Align and Normal Phrase Extraction (SANPE), and Language Model Interpola- …...

This paper describes the statistical ma- chine translation (SMT) systems devel- oped at RWTH Aachen University for the German→English translation task of the ACL 2014 Eighth Workshop on Statisti- cal Machine Translation (WMT 2014). Both hierarchical and phrase-based SMT systems are applied employing hierarchi- cal phrase reordering and word class …...

We describe Stanford’s participation in the French-English and English-German tracks of the 2014 Workshop on Statisti- cal Machine Translation (WMT). Our sys- tems used large feature sets, word classes, and an optional unconstrained language model. Among constrained systems, ours performed the best according to uncased BLEU: 36.0% for French-English and …...

We present our English→Czech and English→Hindi submissions for this year’s WMT translation task. For English→Czech, we build upon last year’s CHIMERA and evaluate several setups. English→Hindi is a new language pair for this year. We experimented with reverse self-training to acquire more (synthetic) parallel data and with modeling target-side morphology. …...

We describe the CMU systems submitted to the 2014 WMT shared translation task. We participated in two language pairs, German–English and Hindi–English. Our innovations include: a label coarsening scheme for syntactic tree-to-tree transla- tion, a host of new discriminative features, several modules to create “synthetic trans- lation options” that can …...

This paper describes the DCU submis- sion to WMT 2014 on German-English translation task. Our system uses phrase- based translation model with several pop- ular techniques, including Lexicalized Reordering Model, Operation Sequence Model and Language Model interpolation. Our final submission is the result of sys- tem combination on several systems …...

In this paper, we present the KIT systems participating in the Shared Translation Task translating between English↔German and English↔French. All translations are generated using phrase-based translation systems, using different kinds of word-based, part-of- speech-based and cluster-based language models trained on the provided data. Additional models include bilingual lan- guage models, …...

We present the IMS-TTT submission to WMT14, an experimental statistical tree- to-tree machine translation system based on the multi-bottom up tree transducer in- cluding rule extraction, tuning and decod- ing. Thanks to input parse forests and a “no pruning” strategy during decoding, the obtained translations are competitive. The drawbacks are …...

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 with large feature sets, (b) tuning on large datasets like the bitext, and (c) web-based interactive ma- chine translation. A …...

This paper describes one of the col- laborative efforts within EU-BRIDGE to further advance the state of the art in machine translation between two Euro- pean language pairs, German→English and English→German. Three research institutes involved in the EU-BRIDGE project combined their individual machine translation systems and participated with a joint …...

We describe the Uppsala University sys- tems for WMT14. We look at the integra- tion of a model for translating pronomi- nal anaphora and a syntactic dependency projection model for English–French. Fur- thermore, we investigate post-ordering and tunable POS distortion models for English– German. 1...

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 learning by means of a source-context fea- ture function. This feature depends on the input sentence to translate, which makes …...

This paper describes the joined submis- sion of LIMSI and KIT to the Shared Translation Task for the German-to- English direction. The system consists of a phrase-based translation system us- ing a pre-reordering approach. The base- line system already includes several mod- els like conventional language models on different word …...

We present the CimS submissions to the 2014 Shared Task for the language pair EN→DE. We address the major problems that arise when translating into German: complex nominal and verbal morphol- ogy, productive compounding and flex- ible word ordering. Our morphology- aware translation systems handle word formation issues on different …...

This paper describes the Yandex School of Data Analysis Russian-English system submitted to the ACL 2014 Ninth Work- shop on Statistical Machine Translation shared translation task. We start with the system that we developed last year and in- vestigate a few methods that were success- ful at the previous translation …...

We use parallel FDA5, an efficiently pa- rameterized and optimized parallel im- plementation of feature decay algorithms for fast deployment of accurate statistical machine translation systems, taking only about half a day for each translation di- rection. We build Parallel FDA5 Moses SMT systems for all language pairs in the …...

This paper presents the results of the WMT14 shared tasks, which included a standard news translation task, a sepa- rate medical translation task, a task for run-time estimation of machine translation quality, and a metrics task. This year, 143 machine translation systems from 23 insti- tutions were submitted to the …...

In this paper, we describe our English- Hindi and Hindi-English statistical sys- tems submitted to the WMT14 shared task. The core components of our translation systems are phrase based (Hindi-English) and factored (English-Hindi) SMT sys- tems. We show that the use of num- ber, case and Tree Adjoining Grammar information …...