[PDF] Top 20 Machine Translation System Combination with Flexible Word Ordering

... Sentences from different systems are aligned in pairs using a modified version of the METEOR (Banerjee and Lavie, 2005) matcher. This iden- tifies alignments in three phases: exact matches up to case, WordNet (Fellbaum, ... See full document

... for word-level combination of translation hypotheses from multiple machine translation ...and flexible word orderings are allowed. Decisions on word alignment ... See full document

... Any monolingual word aligner can be used to produce the monolingual word alignments. In our system, we adopt TERp (Snover et al. 2009), one of the state-of-the-art alignment tools, to serve this ... See full document

... the translation task of 2489 sentences into a tuning set of 455 sen- tences and a test set with the remaining 2034 sen- ...tences. Translation outputs for each system is given in a separate file and ... See full document

... individual system. A simple model which can not be applied by any individual system is the binary system voting model ...during system combination decoding as it determines the impact ... 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

... Xia and McCord (2004) describe an ap- proach for translation from French to En- glish, where reordering rules are acquired au- tomatically using source and target parses and word alignment. The reordering ... See full document

... To access the accuracy of our pre-ordering ap- proach, we also conduct human evaluation for the reordered sentences. 200 global reordered sen- tences and 200 local reordered sentences are ex- tracted from the ... See full document

... This paper introduces our lexical rules for normalizing grammatical categories in Myanmar language. Our lexical rules have to be applied to normalize some words and basic tags in order to produce more accurate and finer ... See full document

... one, word or character, is the appropriate unit for Chinese natural language ...statistical machine translation (SMT), and found that a system which relied on characters performed slightly ... See full document

... state-of-the-art system combination method for machine translation (MT) is based on confusion networks constructed by aligning hypotheses with regard to word ...novel system ... See full document

... incorrect translation, generated by the N - gram system, is an erroneous grammatical form selection, ...correct translation but cannot choose the correct ...verb-preposition combination call ... See full document

... during translation are more likely to be ignored by ...incorporates word translation table in attention part to adjust the final ...rescore word candidates with SMT ...neural ... See full document

... a word substitution approach to combine the output of different machine translation ...possible translation options, which in turn are estimated through a pre- computed word ...The ... See full document

... Our proposed framework changes the hypothesis only locally. In the future, we plan to consider long-range information for better performance. Moreover, our system uses unselected hypotheses to decide which is the ... See full document

... phrase translation pairs from each de- coder’s ...tify word alignment and estimate word translation ...testset-specific word translation model with a general ...from ... See full document

... by system combination, which attempts to find consensus translations a- mong different machine translation ...years, word-level, phrase-level and sentence-level system ... See full document

... single system scores on all ...the combination optimized for the corre- sponding ...timized combination has significantly higher BLEU score than the TER optimized ...baseline system which is ... See full document

... the system com- bination task for the English-German, German- English, English-Spanish, and Spanish-English lan- guage pairs using the training corpus provided in WMT’11 (Callison-Burch et ...the system ... See full document

... this system, the language model is trained using weakly supervised learning on small annotated corpus to seed unsupervised learning using much larger, un-annotated ...tagging, word-sense disam- biguation ... See full document