Articles

We investigate the problem of predicting the quality of a given Machine Translation (MT) output segment as a binary classifi- cation task. In a study with four different data sets in two text genres and two lan- guage pairs, we show that the performance of a Support Vector Machine (SVM) …...

We aim to replace the long and com- plicated, pipeline employed to produce probabilistic phrasal bilexica with a the- oretically principled, grammar based, ap- proach. To this end, we introduce a learning regime to learn a phrasal gram- mar equivalent to linear transduction gram- mars. The stochastic version of this …...

This paper presents a study conducted in the course of implementing a project in the World Intellectual Property Organiza- tion (WIPO) on assisted translation of pat- ent abstracts and titles from English to French. The tool (called ‘Tapta’) is trained on an extensive corpus of manually trans- lated patents. These …...

A major weakness of extant statistical ma- chine translation (SMT) systems is their lack of a proper training procedure. Phrase extrac- tion and scoring processes rely on a chain of crude heuristics, a situation judged problem- atic by many. In this paper, we recast the ma- chine translation problem in …...

We present a novel approach for extracting a minimal synchronous context-free grammar (SCFG) for Hiero-style statistical machine translation using a non-parametric Bayesian framework. Our approach is designed to ex- tract rules that are licensed by the word align- ments and heuristically extracted phrase pairs. Our Bayesian model limits the number …...

We provide a general algorithmic schema for translation rule extraction and show that several popular extraction methods (includ- ing phrase pair extraction, hierarchical phrase pair extraction, and GHKM extraction) can be viewed as specific instances of this schema. This work is primarily intended as a survey of the dominant extraction …...

A growing body of machine translation re- search aims to exploit lexical patterns (e.g., n- grams and phrase pairs) with gaps (Simard et al., 2005; Chiang, 2005; Xiong et al., 2011). Typically, these “gappy patterns” are discov- ered using heuristics based on word align- ments or local statistics such as …...

We describe our experiments with hier- archical phrase-based machine translation for the WMT 2011 Shared Task. We trained a system for all 8 translation di- rections between English on one side and Czech, German, Spanish or French on the other side, though we focused slightly more on the English-to-Czech direction. …...

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- lation for each available training corpora were tested, giving an improvement of 0.4 BLEU points over the baseline. Output N-best …...

We present the DFKI hybrid translation sys- tem at the WMT workshop 2011. Three SMT and two RBMT systems are combined at the level of the final translation output. The trans- lation results show that our hybrid system sig- nificantly outperformed individual systems by exploring strengths of both rule-based and …...

We report results on translation of SMS mes- sages from Haitian Creole to English. We show improvements by applying spell check- ing techniques to unknown words and creating a lattice with the best known spelling equiva- lents. We also used a small cleaned corpus to train a cleaning model that …...

We present progress on Joshua, an open- source decoder for hierarchical and syntax- based machine translation. The main fo- cus is describing Thrax, a flexible, open source synchronous context-free grammar ex- tractor. Thrax extracts both hierarchical (Chi- ang, 2007) and syntax-augmented machine translation (Zollmann and Venugopal, 2006) grammars. It is …...

This paper describes the development of French–English and English–French statisti- cal machine translation systems for the 2011 WMT shared task evaluation. Our main sys- tems were standard phrase-based statistical systems based on the Moses decoder, trained on the provided data only, but we also per- formed initial experiments with hierarchical …...

This paper describes the machine translation (MT) system developed by the Transducens Research Group, from Universitat d’Alacant, Spain, for the WMT 2011 shared transla- tion task. We submitted a hybrid system for the Spanish–English language pair consist- ing of a phrase-based statistical MT system whose phrase table was enriched with …...

In this paper, we propose that MT is an im- portant technology in crisis events, something that can and should be an integral part of a rapid-response infrastructure. By integrating MT services directly into a messaging infras- tructure (whatever the type of messages being serviced, e.g., text messages, Twitter feeds, …...

This work describes the Haitian-Cr´eole to En- glish statistical machine translation system built by Barcelona Media Innovation Center (BM) and Institute for Infocomm Research (I2R) for the 6th Workshop on Statistical Ma- chine Translation (WMT 2011). Our sys- tem carefully processes the available data and uses it in a standard …...

We describe our system for the news com- mentary translation task of WMT 2011. The submitted run for the French-English direction is a combination of two MOSES-based sys- tems developed at LIG and LIA laboratories. We report experiments to improve over the standard phrase-based model using statistical post-edition, information retrieval …...

Accuracy of dependency parsers is one of the key factors limiting the quality of dependency- based machine translation. This paper deals with the influence of various dependency pars- ing approaches (and also different training data size) on the overall performance of an English-to-Czech dependency-based statisti- cal translation system implemented in …...

This paper describes an experiment in which we try to automatically correct mistakes in grammatical agreement in English to Czech MT outputs. We perform several rule-based corrections on sentences parsed to dependency trees. We prove that it is possible to improve the MT quality of majority of the systems par- …...

In this paper we describe the Institute for Logic, Language and Computation (Uni- versity of Amsterdam) phrase-based statisti- cal machine translation system for English- to-German translation proposed within the EMNLP-WMT 2011 shared task. The main novelty of the submitted system is a syntax- driven pre-translation reordering algorithm implemented as source …...