Articles

This study is a linguistic study on idiosyn- crasy using speaker classification tech- nique as an analytical tool. The goals of this study are to find out 1) to what extent Japanese filler words (e.g. um, you know in English) carry individual idiosyncratic information; 2) if there are any differences …...

Automatically judging sentences for their grammaticality is potentially useful for several purposes — evaluating language technology systems, assessing language competence of second or foreign lan- guage learners, and so on. Previous work has examined parser ‘byproducts’, in par- ticular parse probabilities, to distinguish grammatical sentences from ungrammat- ical ones. The …...

While there has traditionally been strong interest in the task of monolingual lan- guage identification, research on multi- lingual language identification is under- represented in the literature, partly due to a lack of standardised datasets. This paper describes an artificially-generated dataset for multilingual language identification, as used in the 2010 …...

This paper describes the CMU entry for the system combination shared task at WMT’10. Our combination method is hy- pothesis selection, which uses information from n-best lists from the input MT sys- tems, where available. The sentence level features used are independent from the MT systems involved. Compared to the …...

This paper describes our submission, cmu-heafield-combo, to the WMT 2010 machine translation system combi- nation task. Using constrained resources, we participated in all nine language pairs, namely translating English to and from Czech, French, German, and Spanish as well as combining English translations from multiple languages. Combination proceeds by aligning …...

UPV-PRHLT participated in the System Combination task of the Fifth Workshop on Statistical Machine Translation (WMT 2010). On each translation direction, all the submitted systems were combined into a consensus translation. These consen- sus translations always improve transla- tion quality of the best individual system. 1...

This paper describes the augmented three- pass system combination framework of the Dublin City University (DCU) MT group for the WMT 2010 system combi- nation task. The basic three-pass frame- work includes building individual confu- sion networks (CNs), a super network, and a modified Minimum Bayes-risk (mCon- MBR) decoder. The …...

We use L1 regularized transductive regres- sion to learn mappings between source and target features of the training sets derived for each test sentence and use these mappings to rerank translation out- puts. We compare the effectiveness of L1 regularization techniques for regression to learn mappings between features given in …...

We analyze adaptive model weight- ing techniques for reranking using in- stance scores obtained by L1 regular- ized transductive regression. Compet- itive statistical machine translation is an on-line learning technique for se- quential translation tasks where we try to select the best among com- peting statistical machine translators. The competitive …...

LIUM participated in the System Combi- nation task of the Fifth Workshop on Sta- tistical Machine Translation (WMT 2010). Hypotheses from 5 French/English MT systems were combined with MANY, an open source system combination software based on confusion networks currently de- veloped at LIUM. The system combination yielded signifi- cant …...

We present Jane, RWTH’s hierarchical phrase-based translation system, which has been open sourced for the scientific community. This system has been in de- velopment at RWTH for the last two years and has been successfully applied in dif- ferent machine translation evaluations. It includes extensions to the hierarchical ap- proach …...

We propose a method to improve the trans- lation of pronouns by resolving their co- reference to prior mentions. We report re- sults using two different co-reference res- olution methods and point to remaining challenges. 1...

English is a typical SVO (Subject-Verb- Object) language, while Japanese is a typ- ical SOV language. Conventional Statis- tical Machine Translation (SMT) systems work well within each of these language families. However, SMT-based translation from an SVO language to an SOV lan- guage does not work well because their word …...

In Arabic-to-English phrase-based statis- tical machine translation, a large number of syntactic disfluencies are due to wrong long-range reordering of the verb in VSO sentences, where the verb is anticipated with respect to the English word order. In this paper, we propose a chunk-based reordering technique to automatically de- tect …...

Compound splitting is an important prob- lem in many NLP applications which must be solved in order to address issues of data sparsity. Previous work has shown that lin- guistic approaches for German compound splitting produce a correct splitting more often, but corpus-driven approaches work best for phrase-based statistical machine …...

In this paper we focus on the incremental decoding for a statistical phrase-based ma- chine translation system. In incremental decoding, translations are generated incre- mentally for every word typed by a user, instead of waiting for the entire sentence as input. We introduce a novel modifi- cation to the beam-search …...

We describe our experiments with hier- archical phrase-based machine translation for WMT 2010 Shared Task. We provide a detailed description of our configuration and data so the results are replicable. For English-to-Czech translation, we experi- ment with several datasets of various sizes and with various preprocessing sequences. For the other …...

This paper describes the system developed in collabaration between UCH and UPV for the 2010 WMT. For this year’s work- shop, we present a system for English- Spanish translation. Output N-best lists were rescored via a target Neural Network Language Model, yielding improvements in the final translation quality as measured …...

Maximum Entropy Principle has been used successfully in various NLP tasks. In this paper we propose a forward transla- tion model consisting of a set of maxi- mum entropy classifiers: a separate clas- sifier is trained for each (sufficiently fre- quent) source-side lemma. In this way the estimates of translation …...

This paper describes the Aalto submission for the German-to-English and the Czech- to-English translation tasks of the ACL 2010 Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR. Statistical machine translation has focused on using words, and longer phrases con- structed from words, as tokens in the sys- tem. In …...