[PDF] Top 20 BTG-based Machine Translation with Simple Reordering Model using Structured Perceptron

... a BTG- based reordering model in three ...the BTG parser on the source side with shal- low annotations (only POS-tags and word classes (Brown et ...a Structured Perceptron ... See full document

... the machine translation system and neu- ral classifier are trained separately, the neural network training only has an indirect effect on translation ...the machine translation system ... See full document

... The translation model is trained on the FBIS corpus and a 4-gram language model is trained on the Xinhua portion of the English Gi- gaword corpus using the SRILM Toolkits (Stolcke, 2002) with ... See full document

... a translation “phrase” is simply any contiguous word string that is consistent with a word alignment (a relation between source and target words), usually produced by a language-independent alignment pro- cedure ... See full document

... Some readers may argue that the features to distinguish the sentence types are very obvious in Chinese. For example, “ ? ” can easily sepa- rate the interrogative sentences from non- question sentences. In this case, a ... See full document

... To train B, we used binary feature functions ϕ as used in (Tromble and Eisner, 2009), which were introduced for dependency parsing by Mc- Donald et al. (2005). Table 2 shows the kind of features we used in our ... See full document

... tistical machine translation ...tated BTG (LABTG) for ...to BTG hierarchical struc- tures through linguistic ...annotated BTG rules and train linguisti- cally motivated phrase ... See full document

... for machine translation (MT) is the different order of the same conceptual units in the source and target ...adequate translation in the target language, the default phrase-based statis- tical ... 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 ...probability model ... See full document

... The linguistic constraint is simple but effective. Figure 2 shows a sentence pair with word alignments. If confine an initial phrase pair to the maximum coverage of 10 source words, we will lose the collocations ... See full document

... phrases reordering strategies. According to the movement of phrase translation, the pattern of phrase reordering can be divided into three classes: monotone, BTG (Bracket Transduction Grammar) ... See full document

... word reordering is a major challenge in statistical machine translation re- ...shown using source syntactic trees is an effective way to tackle this problem between two languages with sub- ... See full document

... ing reordering model for BTG-based statisti- cal machine translation ...The model focuses on linguistic features from bilingual ...(ME) reordering model. ... See full document

... the translation out- put of the baseline system and observe that Bruin sometimes incorrectly swaps two large neighboring blocks on the target ...language model and the MaxEnt-based reordering ... See full document

... word reordering knowledge may lead to attention faults and generate fluent but inaccurate or inadequate ...a translation in- stance and Figure 1 depicts the corresponding word alignment matrix that produced ... 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

... studies, reordering decisions are done “deterministically” by supply- ing the decoder with a canonical word order (Xia and McCord, 2004; Collins et ...These reordering rules are either manually specified or ... See full document

... Urdu translation with alignment ...rect reordering. A reordering model trained on such incorrect reorderings would obviously per- form ...of machine alignments (ii) use these less noisy ... See full document

... word reordering model using syntactic information of a source tree for phrase-based statistical machine ...proposed model is an extension of the IST-ITG con- ...ordering ... See full document

... In this paper, we analyze the syntactic structure of Myanmar grammatical categories to be able to use in tagging Myanmar text with standard Part-of-Speech (POS) tags. In Myanmar lexicon, all words are annotated with ... See full document