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We propose a backoff model for phrase- based machine translation that translates unseen word forms in foreign-language text by hierarchical morphological ab- stractions at the word and the phrase level. …...

This paper describes experiments with English-to-Czech phrase-based machine translation. Additional annotation of input and output tokens (multiple factors) is used to explicitly model morphology. We vary the translation scenario (the …...

We present an unsupervised model for joint phrase alignment and extraction using non- parametric Bayesian methods and inversion transduction grammars (ITGs). The key con- tribution is that phrases of many …...

We present a quasi-synchronous dependency grammar (Smith and Eisner, 2006) for ma- chine translation in which the leaves of the tree are phrases rather than words as in pre- vious …...

This paper reports on the ongoing work fo- cused on domain adaptation of statistical machine translation using domain-specific data obtained by domain-focused web crawling. We present a strategy for crawl- …...

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 …...

Modern phrase-based machine translation systems make extensive use of word- based translation models for inducing alignments from parallel corpora. This is problematic, as the systems are inca- pable of accurately …...

The Discriminative Word Lexicon (DWL) is a maximum-entropy model that pre- dicts the target word probability given the source sentence words. We present two ways to extend a DWL to …...

We describe our experiments with phrase-based machine translation for the WMT 2013 Shared Task. We trained one system for 18 translation directions between English or Czech on one side and …...

In this study we compare two machine translation devices on twelve machine translation medical- domain specific tasks, and two transliteration tasks, altogether involving twelve language pairs, including English-Chinese and English-Russian, …...

We describe our systems for the SemEval 2014 Task 5: L2 writing assistant where a system has to find appropriate translations of L1 segments in a given L2 context. We …...

Phrase–based machine translation (PBMT) relies upon the phrase-table as the main resource for bilingual knowledge at decoding time. A phrase table in its basic form includes aligned phrases along with …...

The task of cross-language document summarization is to create a summary in a target language from documents in a dif- ferent source language. Previous meth- ods only involve direct extraction …...

We present a novel approach for unsu- pervised induction of a Reordering Gram- mar using a modified form of permuta- tion trees (Zhang and Gildea, 2007), which we apply to …...

This paper describes the statistical machine translation system developed at RWTH Aachen University for the German→English translation task of the EMNLP 2015 Tenth Workshop on Statistical Machine Translation (WMT 2015). …...

Within the field of Statistical Machine Trans- lation (SMT), the neural approach (NMT) has recently emerged as the first technology able to challenge the long-standing dominance of phrase-based approaches (PBMT). …...

AbstractRecently, the development of neural machine translation (NMT) has significantly improved the translation quality of automatic machine translation. While most sentences are more accurate and fluent than translations by statistical …...

Neural network language and translation models have recently shown their great po- tentials in improving the performance of phrase-based machine translation. At the same time, word representations using dif- ferent …...

AbstractWe aim to shed light on the strengths and weaknesses of the newly introduced neural machine translation paradigm. To that end, we conduct a multifaceted evaluation in which we compare …...

This paper describes the neural and phrase-based machine translation systems submitted by CUNI to English-Czech News Translation Task of WMT17. We experiment with synthetic data for training and try several …...

AbstractIntelligent selection of training data has proven a successful technique to simultaneously increase training efficiency and translation performance for phrase-based machine translation (PBMT). With the recent increase in popularity of …...

AbstractIn this paper we tackle a unique and important problem of extracting a structured order from the conversation a customer has with an order taker at a restaurant. This is …...

Phrase-based machine translation provides the system developer with controls that enable fine-grained control over machine translation output. One approach to provide similar control in neural machine transla- tion is placeholding …...