[PDF] Top 20 NiuTrans: An Open Source Toolkit for Phrase based and Syntax based Machine Translation

... a source sentence, the decoder generates 1-best or k-best translations in a bottom-up fashion using a CKY-style parsing ...applying translation rules or composing items in adjunct cells to obtain new ... See full document

... the source RNN with a deep convolution over the source ...also open-sourced as ...system based on the work of Chan et ...the source encoder with a Pyrimidal source ... See full document

... of translation from English to Turkish, Durgar-El Kahlout and Oflazer (2010) have explored different representational units of the lexical morphemes and found that selectively splitting morphemes on the target ... See full document

... whose source-to-target length ratio is within one standard deviation of the average, if any n- gram found in the source sentence is also found in W with a count of less than k, the sentence is ...the ... See full document

... Neural machine translation (NMT) is a new methodology for machine translation that has led to remarkable improvements, particularly in terms of human evaluation, compared to rule-based ... See full document

... the source side, re-order, and then trans- ...the source side), but try to learn reordering rules from the word-aligned corpus with the original word order on both ...the source at translation ... See full document

... other source word is translated would be very ...covered source word be the ...uncovered source islands to the left of the ...from source 1 to 9 triggers this number-zero-island fea- ture φ(1, ... See full document

... to phrase-based statistical models (Marcu and Wong, 2002; Koehn et ...in machine translation accuracy. Although phrase-based models yield high-quality translations for language ... See full document

... and translation facilities of LetsMT! are based on the open source toolkit Moses (Koehn et ...for translation APIs was the possibility to translate from English into ... See full document

... In addition to the distributed LM mentioned above, we implement three local n-gram language models. Specifically, we first provide a straightfor- ward implementation of the n-gram scoring func- tion in Java. This Java ... See full document

... Figure 2: Effect of IBM phrase reordering con- straints in the phrase-based decoder for the NIST Chinese→English translation task. The challenge for optimization techniques is to find a good ... See full document

... statistical machine translation (SMT), with hierarchical phrase-based translation (Chiang, 2005) as the dominant ...nested translation re- ...by source or target language ... See full document

... comparable translation accuracies compared with the most frequently used SMT baseline system, Moses (Koehn et ...matic translation accuracies (case-sensitive) of Aka- mon and ...the translation ... See full document

... the source language involves ...content, translation can be quite expensive. For example, the Translation Direc- torate General of the European Commission reports 330 million euro per year for ... See full document

... the source sentence “John married in Portugal”, and translating either using the blocks “John”, “married” and “in Portugal” or the blocks “John”, “married in”, “Portugal”, the first hypoth- esis would be much more ... See full document

... of phrase translations decreased the Bleu score by ...Conversely, phrase translations unselected by the SA algorithm would maybe allow to improve performance on the test ...system based on ... See full document

... calculating phrase similarity, allocating weight to each phrase, and finding a maximum similarity ...function based on WordNet but also explore a topic similarity function based on a popular ... See full document

... Recall was reasonably high. However, the upper bound of recall was 100 percent because we used a multilingual corpus whose sentences were aligned to each other across all four languages, as described in Section 4.1. ... See full document

... To better leverage syntactic constraint yet still allow non-syntactic translations, Chiang (2005) introduces a count for each hypothesis and ac- cumulates it whenever the hypothesis exactly matches syntactic boundaries ... See full document

... Ondˇrej Bojar, Rajen Chatterjee, Christian Federmann, Yvette Graham, Barry Haddow, Shujian Huang, Matthias Huck, Philipp Koehn, Qun Liu, Varvara Logacheva, Christof Monz, Matteo Negri, Matt Post, Raphael Rubino, Lucia ... See full document