[PDF] Top 20 Connecting Phrase based Statistical Machine Translation Adaptation

... SMT adaptation means selecting useful part from mix-domain (mixture of in-domain and out-of- domain) data, for SMT performance ...in adaptation is about how to select the useful ...level adaptation: ... 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 2 8 and ... See full document

... Though phrase-based SMT has achieved high translation quality, it still lacks of generaliza- tion ability to capture word order differences between ...tree-to-string phrase- based ... See full document

... a translation model that assumes that lexical correspondences can be estab- lished not only at the word level, but at the phrase level as ...source machine translation ...automatic ... See full document

... improve translation output– has been explored by many ...for translation from French to English, where context-free constituency reordering rules are acquired automatically using source and target parses ... 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

... 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

... 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 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

... 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

... patterns based on POS information: ...the phrase extraction is based on the original training data, thus a different de- coding strategy is not ...rules based on POS tags are ... See full document

... In Table 4 the IMT results for the three considered corpora (for both translation directions) are shown. MERT training for the development corpus was per- formed to adjust the weights of the log-linear model. In ... See full document

... that translation perfor- mance can be improved by exploiting context and paraphrases in the original training corpus ...on translation perfor- ...source phrase possible target phrases ...desired ... See full document

... In all of the above results, the corpora used to train the pivot models are not changed. In order to ex- amine the effect of the size of the pivot corpora, we decrease the French-English and English- French corpora. We ... See full document

... idiomatic phrase translations and can be easily enriched with bilingual ...using phrase-based translation in a statistical framework has been shown in many studies such as (Koehn et ... See full document

... frequency- based cutoff method, which is one of the most widely used filtering ...tasks: phrase reduction, hierarchical rule reduction, and joint re- ...the translation per- formance is highly ... See full document

... new phrase pair, de- coder updates the associated information such as coverage set, the target words generated, future cost (for translating rest of the source words) and its translation ...English ... See full document

... Lexicalized phrase orientation models (Tillmann, 2004; Koehn et ...a phrase with respect to the last translated ...every phrase that does not immediately follow or precede the last translated ... 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

... 1+2+3+4+5+6+7 28.7 23.8 55.8 53.7 Moses (1+. . .+7) 28.9 23.5 55.8 53.6 Table 6: French-to-English results for development and test data according to different log-linear scenarios. These models can also be implemented ... See full document