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A Dependency Based Statistical Translation Model
... applied. Translation experiments between English and five non SVO Asian languages show signifi- cant improvements in accuracy in 4 out of 5 lan- ...the translation tools, since the sentences are rewrit- ten ... See full document
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Translation Model Size Reduction for Hierarchical Phrase based Statistical Machine Translation
... SMT model try to identify infrequent entries (Zollmann et ...the translation perfor- mance due to their side effect of algorithms; simi- lar multiple entries can be pruned at the same time deteriorating ... See full document
5
A Hierarchical Phrase Based Model for Statistical Machine Translation
... Phrase-based models can robustly perform trans- lations that are localized to substrings that are com- mon enough to have been observed in training. But Koehn et al. (2003) find that phrases longer than three ... See full document
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KyotoEBMT: An Example Based Dependency to Dependency Translation Framework
... The current performance (BLEU) of our system is similar to (or even slightly bet- ter than) state-of-the-art open-source SMT systems. As we have been able to obtain steady performance improvements during de- velopment, ... See full document
6
Cross Corpora Evaluation and Analysis of Grammatical Error Correction Models — Is Single Corpus Evaluation Enough?
... GEC model generally aims to robustly correct grammatical errors in any writ- ten text partly because the task difficulty varies depending on proficiency levels and essay top- ...a model outperforms a ... See full document
6
Discontinuous Statistical Machine Translation with Target Side Dependency Syntax
... the model to synchronously develop discontinuous parts in the output ...this translation model al- ready proved to be useful when translating from English into German, Chinese, and Arabic as ... See full document
9
Dependency Tree Abstraction for Long Distance Reordering in Statistical Machine Translation
... pus based on SCFG with increased flexibility and trains a BTG model using the processed corpus, we compare our method to another BTG model trained only with the original corpus (simply re- ferred to ... See full document
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Using Dependency Tree Grammar to Enhance the Reordering Model of Statistical Machine Translation Systems
... labeling model. In the decoding step, all words of current translation option are labeled, and these labels are compared with primary labels and according to differences between these two labels, decoder ... See full document
12
Maximum Entropy Translation Model in Dependency Based MT Framework
... We use tectogrammatical (deep-syntactic) layer of language representation as the transfer layer in the presented MT experiments. Tectogrammatics was introduced in (Sgall, 1967) and further elaborated within the Prague ... See full document
6
Proceedings of the 4th Workshop on Syntax and Structure in Statistical Translation
... phrase-based translation models include studies by Jiang, Du and Way; by Cao, Finch and Sumita; by Kolachina, Venkatapathy, Bangalore, Kolachina and PVS; and by Zhechev and van ...Genabith. ... See full document
8
Part of Speech Induction in Dependency Trees for Statistical Machine Translation
... In recent years, syntax-based SMT has made promising progress by employing either depen- dency parsing (Lin, 2004; Ding and Palmer, 2005; Quirk et al., 2005; Shen et al., 2008; Mi and Liu, 2010) or constituency ... See full document
11
Statistical Phrase Based Translation
... phrase-based translation model and decoding algorithm that enables us to evaluate and compare several, previ- ously proposed phrase-based translation mod- ... See full document
7
A Domain Restricted, Rule Based, English Hindi Machine Translation System Based on Dependency Parsing
... rule based machine translation system discussed ...wrong translation and hence severely affects ...accurate dependency parser for the translation system for improving translation ... See full document
9
Statistical machine translation based on translation rules
... complete statistical machine translation system by integrating the advantages of string-tree model and hierarchical phrase ...of translation rules and the property of translation ...is ... See full document
8
Transition based Spinal Parsing
... and dependency-based ...of dependency repre- sentations is that they are naturally lexicalized, and this allows the statistical model to capture a rich set of lexico-syntactic ...of ... See full document
11
Syntax Based Word Ordering Incorporating a Large Scale Language Model
... language model into the syntax-based generation system is weakly analogous to N -gram model insertion for syntax-based statistical machine translation sys- tems, both of which ... See full document
11
Chunk Based Statistical Translation
... the translation model as a phrase- to-string ...the model to a syntax-to-string trans- lation ...a translation model is structured either with a se- quence of chunks or with a parse ... See full document
8
Sentence Type Based Reordering Model for Statistical Machine Translation
... Some readers may argue that the features to distinguish the sentence types are very obvious in Chinese. For example, “ ? ” can easily sepa- rate the interrogative sentences from non- question sentences. In this case, a ... See full document
8
A Tree to String Phrase based Model for Statistical Machine Translation
... Based on the kind of linguistic information which is made use of, syntactic SMT can be divided into four types: tree-to-string, string-to-tree, tree-to-tree, and hierarchical phrase-based. The ... See full document
8
Phrase Reordering Model Integrating Syntactic Knowledge for SMT
... reordering model by introducing syntactic ...the translation process was modeled based on specific syntactic structures, either phrase structures or dependency ...phrase translation ... See full document
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