[PDF] Top 20 Statistical Machine Translation Improvement based on Phrase Selection

... rent statistical machine translations are per- formed on phrases, which are considered as translation ...the phrase predicted by a language model. To build the new phrase-based ... See full document

... (Dasgupta and Hsu, 2008) propose a technique for sample selection that, under certain settings, is guar- anteed to be no worse than random sampling. Their method exploits the cluster structure (if there is any) in ... See full document

... the-art phrase-based SMT system (Wuebker et ...the phrase based decoder, Jane ...with phrase transla- tion probabilities for source-to-target and target-to- source directions, smoothing ... See full document

... the translation process (Zamora-Martínez et ...be based on the work on distributed LMs, for instance (Brants et ...space translation models in an bilingual tuple system only used rescoring (Schwenk ... See full document

... in phrase-based statistical machine ...on translation quality when the translation units used in the translation hypotheses are allowed to overlap on the source side, on ... See full document

... frame phrase-based de- coding as an instance of a generalised Travel- ling Salesman Problem (TSP) and rely on ro- bust solvers to perform ...the translation options, with each node representing a ... See full document

... The improvement on the whole test set is statistically significant at the 95% ...guage translation task and the training cor- pus for spoken language is rather ... See full document

... raw machine-translation output, along with its human-post-edited counterpart, we can train the system to translate from the former into the lat- ...the phrase-based post-editing model that we ... See full document

... a translation problem from “Bad English” to “Good ...decoder based on an exact TSP solver (Concorde); a decoder based on an approx- imate TSP solver (Lin-Kernighan as implemented in the Concorde ... See full document

... state against a reference translation is displayed. We note, as expected, that the decoder achieves a considerable improvement of the initial state with diminishing returns as decoding continues. Be- tween ... See full document

... for phrase-based ...for translation dictionary induction (Schafer and Yarowsky, 2002), word sense disam- biguation (Diab and Resnik, 2002), and so ... See full document

... and translation decisions in the latter – we intro- duce modified distortion matrices: a novel method to seamlessly provide to the decoder a set of likely long reorderings pre-computed for a given input ... See full document

... entropy based method for TM (Ling et ...NNLM based sentence adaptation, (Sennrich, 2012) for TM weights combination, and (Bisazza et ...NN based adaptation directly for all phrases, and ‘in+connect’ ... See full document

... also based on the edit distance concept has recently arisen as an evolution of WER towards ...the translation edit rate (TER), and it has become popular because it takes into ac- count the basic ... See full document

... The 4th Workshop on South and Southeast Asian NLP WSSANLP, International Joint Conference on Natural Language Processing, pages 72–76, Nagoya, Japan, 14-18 October 2013.... ºï ðòïï ðòðç.[r] ... 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

... 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

... the translation speed of the phrase-based translation ...the translation times. The translation speed of the monotone phrase-based system for all three tasks is ... See full document

... ginning. Generating the target in the ‘wrong’ di- rection (the opposite direction to the way in which humans do) is counter intuitive, and possibly as a result of this, SMT systems typically generate the target word ... See full document

... Recall was reasonably high. However, the upper bound of recall was 100 percent because we used a multilingual corpus whose sentences were aligned to each other across all four languages, as described in Section 4.1. ... See full document