[PDF] Top 20 CMU Syntax Based Machine Translation at WMT 2011

... Except for minor bug fixes, our method for ex- tracting and scoring a translation grammar remains the same as in our WMT 2010 submission. We ex- tracted both syntactic and non-syntactic portions of the ... See full document

... phrase-based translation system. Features in the log-linear model include translation models in two directions, a language model, a distortion model and a sentence length ...the translation ... See full document

... phrase-based translation, a weighted synchronous context-free grammar is in- duced from parallel ...phrase translation probabil- ities and lexical translation probabilities on phrase level, ... See full document

... The latest version of the News-Commentary (NC) corpus and of the Europarl (Eparl) corpus (version 6) were used. We also took as training data a sub- set of the French–English Gigaword (10 9 ) corpus. We applied the same ... See full document

... T URK 2 ($0.15/sent.). These collected data make a parallel corpus whose source part is MT output and target part is the human post-edited version of MT output. This are used to train a phrase-based SMT (with ... See full document

... are based on lexical forms consisting of lemma, part of speech and morphological inflection information of the words in the input sentence, and apply sim- ple shallow-transfer rules that operate on sequences of ... See full document

... a machine trans- lation (MT) system, because human interpreters use a variety of strategies (Shimizu et ...Camayd-Freixas, 2011; Tohyama and Matsubara, 2006) to fine-tune the word ...(Camayd-Freixas, ... See full document

... the syntax-based generation system is weakly analogous to N -gram model insertion for syntax-based statistical machine translation sys- tems, both of which apply a score from the ... See full document

... that translation quality of English-Japanese PBMT is significantly improved using a transla- tion model learned by English sentences prepro- cessed by Head Finalization and Japanese sen- ...NTCIR 2011 ... See full document

... n-gram translation models and target n- gram language models, 13 conventional features are combined: 4 lexicon models similar to the ones used in standard phrase-based systems; 6 lexical- ized reordering ... See full document

... (Heafield, 2011) used at runtime, hierarchical lexicalized re- ordering (Galley and Manning, 2008), a lexically- driven 5-gram operation sequence model (OSM) (Durrani et ... See full document

... the translation and language ...(Heafield, 2011). Translation model parameters were chosen using MIRA (Eidelman, 2012) to optimize BLEU (Papineni et ... See full document

... The features are defined primarily based on trans- lation lexicon probabilities. Rather than computing word alignment between the two sentences, we use lexical probabilities to determine alignment points as ... See full document

... synthetic translation option for each of the transliterations with four features: an indicator feature for transliterations, the CRF un- normalized score, the trigram character-LM log- probability, and the ... See full document

... The evaluation’s official metric is human rank- ing judgments. On this metric, our submissions score highest on eight of ten tracks: Czech-English, German-English, English-Czech, English-German, English-Spanish, ... See full document

... Statistical Machine Translation (SMT) paradigms make use of the translation examples provided by a parallel bilin- gual corpus to produce new ...these translation systems process the example ... See full document

... the system. Although the better performances are reported over the conventional phrase-based model and syntax-based model, the mixture of diversified rules still leaves much room for study. Given ... See full document

... There is much that can be done to increase alignment ac- curacy. Of course, more training data and further tuning of parameters are likely to lead to better scores. It is also possible to specify additional features to ... See full document

... linguistically-motivated syntax-based trans- lation system, the entire translation process is normally carried out in two steps, translation rule matching and target sentence decoding us- ing ... See full document

... word translation) were limited to the top K = 200 words for ...German. Translation factors for the English→German translation direction are word surface forms, Och clusters (50 classes), ... See full document