[PDF] Top 20 Reordering Constraints for Phrase Based Statistical Machine Translation

... the reordering process can be interpreted as follows: we select two consecutive blocks and merge them to a single block by choosing between two options: either keep the target phrases in monotone order or invert ... See full document

... the reordering search space is a cru- cial issue in phrase-based SMT between dis- tant ...hurting translation qual- ity nor decoding ...loose reordering constraints is ... See full document

... Word reordering is one of the most difficult aspects of Statistical Machine Translation (SMT), and an important factor of its quality and ...range reordering is reasonably handled by ... See full document

... Single-Word Based Systems (SWB). First, there is a monotone search variant (Mon) that translates each word of the source sentence from left to right. The second vari- ant allows reordering according to the ... See full document

... Another interesting observation is that reordering rules learned from automatic alignments lead to significantly better translation than rules learned from manual alignment. Due to the much higher quality ... See full document

... The flexibility of CCG syntax is also gaining recognition as a useful tool for constraining statis- tical MT decoders. Hassan (2009) describes an in- cremental CCG parsing language model, although his model does not beat ... 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

... syntax-based machine translation models (Yamada et ...art statistical machine translation (SMT) meth- ...the phrase pairs that each model has to work with and found it is ... See full document

... the reordering model’s training data reveals that some constituent pairs and semantic role pairs have a preference for a specific reordering type (monotone or ...their reordering preference, we use ... See full document

... Finally, we can see from the last row of Ta- ble 1 that the gap between PSMT and HSMT has been narrowed significantly. While more work is needed to reach and outperform the quality of the HSMT system, we were able to ... See full document

... As mentioned in Section 2.2, the cohesion penalty can be extended to also account for how a head word is translated with its children so that we are not biased towards one form of cohesive noncon- stituent ... See full document

... the reordering space, that is then trans- lated in a monotonic ...the reordering space that is explored and then to assess its im- pact on the whole translation ...the reordering space of a ... See full document

... Instead of directly modeling the distance of word movement, phrasal level reordering mod- els model how to move phrases, also called orien- tations. Orientations typically apply to adjacent phrases. Two adjacent ... 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

... 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

... extract phrase pairs in the standard way (Och & Ney, 2003) and associate with each phrase-pair a set of target language syntactic struc- tures based on supertag ... 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

... Hierarchical phrase-based machine trans- lation can capture global reordering with synchronous context-free grammar, but has little ability to evaluate the correctness of word orderings during ... See full document

... VT Phrase Translation and Re- ordering component is estimated along with scale factors applied to the other model components; in other words, the ML-estimated phrase reordering model itself is ... See full document

... the translation quality done ...automatic reordering rules. Table 9 showed the translation output examples are better than baseline system produced by our system for the input sentences from English- ... See full document