[PDF] Top 20 Syntax Based Reordering with Automatically Derived Rules for Improved Statistical Machine Translation

... learn rules from the data. (Habash, 2007) learns re- ordering rules based on a dependency parse and they report a negative result for Arabic to En- glish ...ordering rules on chunks and part ... See full document

... word reordering between language pairs with substantial word order difference, such as Japanese with Subject-Object-Verb (SOV) structure and English with Subject-Verb-Object (SVO) struc- ture, is generally viewed ... See full document

... written reordering rule set for English-Vietnamese language ...dependency syntax and transyntaxsformation rules to reorder the source sentences and applied to English- Vietnamese translation ... See full document

... numerous statistical machine trans- lation models which can utilize various kinds of translation rules are ...syntactic rules but also the non-syntactic rules can be ...phrase ... See full document

... proved machine translation performance by reorder- ing source side sentences based on rules applied to the source side parse during training and ...written rules and several language ... See full document

... the reordering models that are integrated into the decoder, the reordering at the source side can utilize more syntactic knowl- edge, with the goal of adjusting the source lan- guage sentence to make its ... See full document

... Many solutions to the reordering problem have been proposed, e.g. syntax-based models (Chi- ang, 2005), lexicalized reordering (Och et al., 2004), and tree-to-string methods (Zhang et al., ... See full document

... Syntactic reordering approaches are an ef- fective method for handling word-order dif- ferences between source and target lan- guages in statistical machine translation (SMT) ...for ... See full document

... improve translation output– has been explored by many ...on automatically learning reorder- ing rules (Xia and McCord, 2004; Habash, 2007b; Elming, 2008; Elming and Habash, 2009; Dyer and Resnik, ... See full document

... the reordering problem. Within the phrase-based SMT framework there are mainly three stages where improved reordering could be integrated: In the preprocessing: the source sentence is re- ... See full document

... complete statistical machine translation system by integrating the advantages of string-tree model and hierarchical phrase ...of translation rules and the property of translation ... See full document

... for statistical machine translation, and the reordering complexity for a language pair can be considered as a relevant indicator of the difficulty to automatically translate from one ... See full document

... existing translation models for English-to-Japanese translation, our work has revealed some limitations of syntax models both in terms of grammar representations and ...many syntax models are ... See full document

... ual rules and it is suspicious if reordering rules for other language pairs can be easily ...global reordering are there- fore left ... See full document

... In this paper, we have introduced a simple, yet ef- fective way to include syntactic information into phrase-based SMT. Our method consists of en- riching the representation of units of a bilingual language model ... See full document

... For Chinese, it is possible that dialect plays a role in reordering behaviour. In theory, Mandarin Chi- nese is a single language which is quite different, especially in spoken form, from other languages of China ... See full document

... Word reordering is one of the most difficult aspects of Statistical Machine Translation (SMT), and an important factor of its quality and ...range reordering is reasonably handled by ... See full document

... But MT is not just an object of academic study. It’s a real application that isn’t fully perfected, and the best way to learn about it is to build an MT sys- tem. This can be done with open-source toolkits such as Moses ... See full document

... Figure 2 shows the resulting flows between clus- ters. Figure 2a shows the earliest period in our (post-1980) dataset, where we see reflections of ear- lier natural language understanding work by Schank, Woods, Winograd, ... 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