[PDF] Top 20 Using Dependency Tree Grammar to Enhance the Reordering Model of Statistical Machine Translation Systems

... The aim of designing this feature is to help capturing long distance reordering events. This feature may be useful for some language pairs like Persian with SOV structure and English with SVO structure, in which ... See full document

... Syntax-based statistical machine transla- tion (MT) aims at applying statistical models to structured ...syntax-based statistical ma- chine translation system based on a prob- abilistic ... See full document

... source dependency tree in bilingual units. In a series of translation experiments we performed a thor- ough comparison between various syntactically- enriched BiLMs and competing ...source ... See full document

... MT systems usually take a parse tree in the source language and translate it into a parse tree in the target language with transfer ...our model and some of those previous works ac- quired ... See full document

... Using dependency structure on the source side is also a promising way, as tree-based systems run much faster (linear time ...Conventional dependency structure based models (Lin, 2004; ... See full document

... the translation quality done ...parse tree source sentence quality, word alignment quality and quality of ...automatic reordering rules. Table 9 showed the translation output examples are ... See full document

... novel dependency-based bracketing transduc- tion grammar for statistical machine translation, which converts a source sen- tence into a target dependency ...duction ... See full document

... parse tree In order to reorder SVO (subject-verb-object) or- der into SOV (subject-object-verb) order, correctly reordering long-distance words those play impor- tant roles in a sentence is ...ordering ... See full document

... this model as our baseline. First, it uses syntactic tree structures on the target side, which makes it easy to exploit linguistic ...on translation accuracy, so that im- provement over such a system ... See full document

... distortion model to perform reordering during ...the reordering is very error prone, so that the added noise in the reordered data actually hurts the alignments and hence the phrase ... See full document

... abstraction tree that is a shallow and nested representation, ...the dependency tree as ...phrase-based model. In this manner, the source-side grammar is deter- mined on the fly for ... See full document

... Transduction Grammar (BTG) is a spe- cial case of Synchronous Context Free Grammar (SCFG), with binary branching rules that are either straight or ...SMT systems, because of its good trade-off be- ... See full document

... approach, tree structures for the source (Quirk et ...word reordering model (Tillmann, 2004), and inversion transduction grammar (ITG) constraints (Wu, 1995; Wu, 1997) belong to this type of ... See full document

... SMT systems employ some mechanism that allows reordering of the source language during translation ...simple reordering model which has a fixed penalty for reordering moves in ... See full document

... most dependency-based translation systems suffer from a major drawback: they only use 1-best dependency trees for rule extraction, dependency language model training, and decod- ... See full document

... Our first priority is to complete the final pieces so that we have an end-to-end system to experiment with. Once we are able to evaluate our system out- put, our first priority will be to analyze the system errors and ... See full document

... the tree-to-tree approach (Shieber and Schabes 1990)to take advantage of structural knowledge on both sides—for example, as in the papers by Hajiˇc et ...Although tree-to-tree models can ... See full document

... Statistical Machine Translation (SMT) is based on alignment models which learn from bilingual corpora the word correspondences between the source and target ...tested using two ... See full document

... Abstract. Natural Language Processing (NLP) has emerged with a wide scope of research in the area. The Burmese language, also called the Myanmar Language is a resource scarce, tonal, analyt- ical, syllable-timed and ... See full document

... In this paper, we analyze the syntactic structure of Myanmar grammatical categories to be able to use in tagging Myanmar text with standard Part-of-Speech (POS) tags. In Myanmar lexicon, all words are annotated with ... See full document