[PDF] Top 20 A Comparative Study of Hypothesis Alignment and its Improvement for Machine Translation System Combination

... word alignment methods (GIZA++, TER, CLA and IHMM) for hypothesis alignment using the same experimental data and the same multiple MT system outputs with similar features in terms of ... See full document

... in machine translation system ...esis alignment, decoding may result in un- grammatical combination ...the hypothesis which other hypotheses are aligned against is ... See full document

... of machine translation (MT) sys- tem combination, previous work on generat- ing input hypotheses has focused on varying a core aspect of the MT system, such as the de- coding algorithm or ... See full document

... of system com- bination for machine ...tural system-weighted consensus and also to utilize existing information about word ordering present in the target ...hybrid combination architecture, ... See full document

... pair-wise alignment, each hypothesis is aligned to the backbone in turn, with separate processing to combine the multiple ...pair-wise alignment, starting with TER and proceeding with more ... See full document

... preceding hypothesis pointers described in Section ...each system corresponds to a continuation of the partial hy- ...each system, we extend a partial hypothesis by appending that system’s ... See full document

... Current system combination methods usu- ally use confusion networks to find consensus translations among different ...lattice-based system combination model that allows for such phrase ... See full document

... a hypothesis so that it exactly matches the other ...best alignment is the one that gives the minimum number of translation ...and system combination has demonstrated superior ... See full document

... The system combination of the candidate sys- tems is carried out using MEMT 3 (Heafield and Lavie, ...2010). Alignment of outputs at the token level is carried out using a variant of METEOR ... See full document

... informal system combi- nation track of the 2009 NIST Open MT Evalua- tion 4 ; (ii) German-English from the system com- bination evaluation of the 2011 Workshop on Sta- tistical Machine ... See full document

... Many system combination research have been done ...sus translation by voting on a confusion network, which is created by pairwise word alignment of mul- tiple baseline MT ...black-box ... See full document

... consensus translation of the test corpus are differ- ent from the 5 original ...small improvement in BLEU with respect to the original ...global system proba- bilities for scoring the confusion ... See full document

... to Machine Translation (MT): the CMU-UKA Syntax Augmented Machine Translation system (SAMT) and UPC-TALP N-gram-based Statistical Ma- chine Translation ...syntax-driven ... See full document

... the Machine Translation domain of Natural Language ...a machine, which understands diverse languages spoken by common ...computer system with an interface, with which he feels more comfor ... See full document

... Chinese translation evaluation (Li et al., 2011). To measure the translation performance of word-level combination system and character-level combination system, several ... See full document

... the improvement of translation quality of phrase based statistical machine translation system by utilizing the insights of the rule based machine ...phrase alignment ... See full document

... attention-based system, we ob- serve incorrect translations of rare ...attention system. Our system has the word in the source vocabulary but fails to predict the right ... See full document

... Some studies have been made to tackle this problem. Och and Ney (2000) performed transla- tion in both directions (source to target and target to source) to extend word alignments. Their re- sults showed that this method ... See full document

... a hypothesis regeneration pass is added between the decoding and rescoring ...three hypothesis regeneration methods obtained decent and com- parable improvements in conjunction with the same rescoring ... See full document

... each hypothesis in HM decoding, including: 8 n-gram posterior features computed from PB/DHPB forests for ; 8 stemmed n-gram posterior features computed from stemmed PB/DHPB forests for ; 4 n-gram post- erior ... See full document