[PDF] Top 20 Phrase Training Based Adaptation for Statistical Machine Translation

... The task of domain-adaptation attempts to exploit data mainly drawn from one domain (e.g. news, parliamentary discussion) to maximize the perfor- mance on the test domain (e.g. lectures, web fo- rums). In this ... See full document

... In statistical machine translation, the gen- eration of a translation hypothesis is com- putationally ...for phrase-based statistical machine trans- lation, namely ... See full document

... because it creates spurious ambiguity—a situation where the decoder produces many derivations that are distinct yet have the same model feature vectors and give the same translation. This can result in n- best ... See full document

... Beam search (Koehn et al., 2003) and cube prun- ing (Chiang, 2007) are examples of state-of-the-art approximate search algorithms. They approximate the intersection between the translation forest and the language ... See full document

... do not correspond to syntactic constituents. Re- stricting phrases to syntactic constituents has been shown to harm performance (Koehn et al., 2003), so we tighten our definition of a violation to disregard cases where ... See full document

... train phrase based machine translation in which training and decoding are both cast in a sampling ...novel phrase-based conditional exponential family translation ... See full document

... In contrast, the delayed pruning not only avoids search errors but also provides a dynamically man- ageable search space (refer section 4.2.2) by re- taining the best of the potential candidates. In a practical scenario ... See full document

... of translation derivations in phrase-based statistical ma- chine translation is given by the intersec- tion between a translation lattice and a tar- get language ... See full document

... aligned phrase pairs for the above corpus when ...the phrase translations generated from Anusaaraka itself with the expert manual translations and the English-Hindi phrase alignments are further ... See full document

... Abstract- Machine Translation (MT) is a technique that automatically translates text from one natural language to another using machine like ...computer. Machine Transliteration (MTn) is also ... See full document

... databases, translation memories, machine translation and hu- man ...a translation memory of in- dividual sentence pairs from previously posted ads; another third of all text is typically found ... See full document

... forward phrase transla- tion probability P ( ¯ t | ¯ s ) . The maximal phrase length was set to seven words, as it is also used during the standard phrase extraction ...7M phrase pairs after ... See full document

... NICT-2 translation system for the 3rd Workshop on Asian ...domain adaptation method based on feature ...the translation quality of each ...domain adaptation method can naturally in- ... See full document

... chunk- based language model (including phrase-based) in machine translation but did not give a ...for phrase-based language model in statistical machine ... See full document

... Statistical machine translation (SMT) mod- els need large bilingual corpora for train- ing, which are unavailable for some language ...a phrase-based SMT system, and show significant ... See full document

... the phrase-based translation, even though the system could not achieve the upper bound shown in Table ...the phrase segmentation for K-E task, and encourages us to study the ... See full document

... In this paper we explore a novel approach towards extending a standard PBSMT system with syntactic descriptions: we inject lexical descriptions into both the target side of the phrase translation table and ... See full document

... good translation candidates. 8 Selecting the highest scoring translation from a small pool did not always lead to better ...sentence translation strategy, we need to use a large ...slow ... See full document

... to statistical machine translation relies on the word-based trans- lation model to describe the translation process ...word-to-word translation often fails to capture all ... See full document

... the translation probabilities of connecting phrases from out-of-domain corpus are estimated by real corpus ...their translation probabil- ities, which may be useful in decoding, into in-domain bilingual ... See full document