[PDF] Top 20 Cohesive Phrase Based Decoding for Statistical Machine Translation

... 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 ...a ... See full document

... For the ITG constraints a dynamic program- ming search algorithm exists as described in the previous section. It would be more prac- tical with respect to language model recom- bination to have an algorithm that ... See full document

... EN phrase based translation baseline systems are ...trained. Translation per- formances are measured by case-insensitive BLEU (Papineni et ...(BLEU based) is run three times for each ... 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

... train phrase based machine translation in which training and decoding are both cast in a sampling ...SMT decoding that infers both a Viterbi alignment and the target sentence, ... See full document

... However, both Model-III + and Distinguishing Model are worse than Koehn-10 at some high fuzzy match intervals. The reason is that the TM factors are trained on the news domain but the test set is from computer technical ... See full document

... Neural machine translation (NMT) is a new ap- proach to machine translation that has shown promising results compared to the existing ap- proaches such as phrase-based ... See full document

... Recently, phrase-based translation approaches became more and more ...simple phrase-based approach is described that served as starting point for the system in this ...for ... See full document

... direct phrase probabilities adaptation as opposed to ...the phrase level, assigning each phrase pair a weight according to its relevance to the test ...compare phrase weighting to a “flat” ... 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

... two decoding methods, one is the right-to-left decoding based on the left-to- right beam search algorithm, which generates out- puts from the end of a ...bidirectional decoding method which ... See full document

... English translation task. Our translation model was trained on about 1M parallel sentence pairs (about 28M words in each language), which are sub-sampled from corpora distributed by LDC for the NIST MT ... 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

... forced decoding algorithm, which is based on the standard phrase-based decoding algorithm and integrates new types of translation rules (deleting a source word or inserting a ... 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

... a phrase-based SMT decoder, the word se- quence of the target language is typically gener- ated in order in a forward ...the translation are generated first, then the subsequent words, in order until ... See full document

... for phrase-based statistical machine transla- tion (SMT), namely phrase translation and sentence ...The phrase translation strategy means that we di- rectly ... See full document

... for decoding complete documents in phrase-based ...complete translation of an entire document at any ...the decoding algorithm and the state operations used by our decoder, then we ... 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

... 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