[PDF] Top 20 Phrase Based Statistical Machine Translation: A Level of Detail Approach

... the translation of a phrase using the word-based translation ...literal translation of phrase constituents is often in- appropriate from a linguistic point of ... See full document

... is based on the phrase-based SMT model described by Koehn et ...2007). Translation is performed by splitting the input sentence into a number of contiguous word sequences, called phrases, ... See full document

... conditional-random-field approach to discrimi- natively train phrase based machine translation in which training and decoding are both cast in a sampling ...their approach ... 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

... two level strategy of delay and then prune, to avoid such exponentially increasing search space and at the same time to reduce search ...delay level, the idea is to delay the pruning for few promising ... See full document

... sentence level adaptation: different parts of a sentence may belong to different ...granular level for selection. They build lexicon, Translation Models (TMs), reordering models or Language Models ... See full document

... the ITG reorderings, we see that the ITG system always outperforms the unconstrained system. The improvement on the whole test set is statistically significant at the 95% level. 1 In Table 5 and Table 6, we show ... 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

... built based on the previously proposed unsupervised MT sys- tems, with some adaptations made to accom- modate the morphologically rich characteristics of German and Czech (Tsarfaty et ...chine translation ... See full document

... their translation hypotheses be- cause translation itself is modelled at phrase ...more translation features are included, the better are the results on the development ... See full document

... The translation model P ( s | t ) is estimated from bitexts and the language model P ( t ) from monolingual ...popular approach are phrase-based models which translate short sequences of words ... See full document

... There are currently two supertagging approaches available: LTAG-based (Bangalore & Joshi, 1999) and CCG-based (Clark & Curran, 2004). Both the LTAG (Chen et al., 2006) and the CCG supertag sets ... See full document

... contemporary machine translation paradigm, and to experiment with a broader range of ...automatic translation of a sentence in a given language from a partic- ular ...Our approach differs in ... See full document

... the phrase-based sys- tem, we use the following feature functions: a trigram language model, the phrase translation model and the word-based lexicon ...and phrase penalty fea- ... See full document

... segmentation approach for Phrase-Based Statistical Machine Translation (PB-SMT) to languages where word boundaries are not obviously marked by using both monolingual and ... See full document

... In fact, our aim is somewhat like domain adaptation. The task of domain adaptation is to develop learning algorithms that can be easily ported from one domain to another (Daumé III, 2007). What we want to do is selecting ... See full document

... MI(a, b) = P (a, b)log P P (a)P (a, b) (b) (1) Where a and b are respectively a source and a tar- get words. P(a, b) is the joint probabilities and P(a) and P(b) are marginal probabilities. For each source unit a, the ... See full document

... a phrase-based SMT system, and one of the conclusions they draw is, “The first obvious approach is an effort to iden- tify or produce data sets on demand (active learning, where the learning system ... See full document

... allow translation events to span sub- tree units, providing several advantages, including the ability to selectively produce uncohesive transla- tions (Eisner, 2003; Graehl and Knight, 2004; Quirk et ...cohesive ... See full document

... the phrase level, these models typically have a simple distortion model that reorders phrases in- dependently of their content (Och and Ney, 2004; Koehn et ... See full document