[PDF] Top 20 Improving Reordering for Statistical Machine Translation with Smoothed Priors and Syntactic Features

... phrase-level reordering models in- dicate how to move phrases, also called ...lexical features from the phrases to predict their ...phrase reordering by a shift reduce ... See full document

... phrasal translation of verb and subject constructions as ob- served in the training ...distance-based reordering models are not well suited to handling complex reorder- ing operations which can include long ... See full document

... models reordering in noisy channel transla- tion, and has been studied from the early period of SMT ...Distance-based reordering is a typical approach used in many previous studies re- lated to word-based ... See full document

... m-best translation hypotheses of each node to construct a sentence-level trans- lation (line ...m-best translation hypotheses of child nodes into the m-best hypotheses of their parent node by replacing the ... See full document

... Syntax-based machine translation is well known for its ability to handle non-local ...are syntactic in a structural sense only (Chiang, ...soft syntactic features significantly improve ... See full document

... phrase-based translation model training, we used the GIZA++ toolkit (Och and Ney, 2003), and ...5-gram smoothed by Kneser-Ney discounting (Kneser and Ney, ... See full document

... subsequent translation into Czech is achieved using two phrase-based translation sys- ...reference) translation of the head of its English ...(deep syntactic, tectogram- matical) node in the ... See full document

... word reordering between language pairs with substantial word order difference, such as Japanese with Subject-Object-Verb (SOV) structure and English with Subject-Verb-Object (SVO) struc- ture, is generally viewed ... 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 ... See full document

... As mentioned in Section 2.1, simple pattern matching is not enough to decompose Arabic words into stems and affixes. Lexical information and context are needed to perform the decompo- sition correctly. We use the ... See full document

... phrase reordering are much higher on A-E relative to C-E; this could be related to the fact that the word order differences between English and Arabic are much higher than the differences between English and ... See full document

... The translation quality is evaluated by case-insensitive BLEU-4 metric (Papineni et ...The statistical significance test is also car- ried out with paired bootstrap resampling method with p < ...all ... See full document

... a translation qual- ity similar to an unconstrained search. The translation results with the ITG constraints even outperformed the unconstrained search consistently on all error ... See full document

... for statistical machine translation, and the reordering complexity for a language pair can be considered as a relevant indicator of the difficulty to automatically translate from one into the ... See full document

... In this section, we will discuss the reordering con- straints from a theoretical point of view. We will answer the question of how many word-reorderings are permitted for the ITG constraints as well as for the IBM ... See full document

... better translation results compared to baseline SMT ...the translation results still suffer from the defect of the reordering ...the reordering more flexible, but also makes the model ...the ... See full document

... allows reordering of the source language during translation ...simple reordering model which has a fixed penalty for reordering moves in the ...include reordering parame- ters that are ... See full document

... global reordering model that explicitly models long distance re- ordering 1 ...of reordering patterns, namely MA (monotone adjacent), MG (monotone gap), RA (reverse adjacent), and RG (reverse ...the ... See full document

... Apart from their deterministic nature, the two previous preprocessing approaches have their own weaknesses. (Collins et al., 2005) count on man- ual rules and it is suspicious if reordering rules for other ... See full document

... of machine learning tools can be used; however, due to the scale of the task (see section 4), we utilize the Pegasos 2 which is a very fast SVM solver (Shalev-Shwartz et al, ... See full document