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In this paper, we propose a nove dependency-based bracketing transduc-tion grammar for statistical machine translation, which converts a source sen-tence into a target dependency tree. Dif-ferent from...
In statistical machine translation, decod-ing without any reordering constraint is an NP-hard problem. Inversion Transduc-tion Grammars (ITGs) exploit linguistic structure and can well balance the nee...
Machine Translation with Lattices and Forests     Machine Translation  Lattices  Forests       font style='font-size:12px;'> 2013/4/22
Traditional 1-best translation pipelines suffer a major drawback: the errors of 1-best outputs, inevitably introduced by each module, will propagate and accumulate along the pipeline. In order to alle...
We describe a novel approach for syntaxbased statistical MT, which builds on a variant of tree adjoining grammar (TAG). Inspired by work in discriminative dependency parsing, the key idea in our appro...
in the formally syntaxbased MT, a hierarchical tree generated by synchronous CFG rules associates the source sentence with the target sentence. In this paper, we propose a source dependency model to e...
We use the Margin Infused Relaxed Algorithm of Crammer et al. to add a large number of new features to two machine translation systems: the Hiero hierarchical phrasebased translation system and our sy...
Fast Translation Rule Matching for Syntax-based Statistical Machine Translation
This paper presents an overall introduction to the CWMT2008 evaluation and focuses on its two new metrics: BLEU-SBP (Chiang et al., 2008) and linguistic check-point me-thod (Zhou et al., 2008). BLEU-S...
Sub-Sentence Division for Tree-Based Machine Translation     Sub-Sentence Division  Tree-Based  Machine Translation       font style='font-size:12px;'> 2013/4/22
Tree-based statistical machine translation models have made significant progress in re-cent years, especially when replacing 1-best trees with packed forests. However, as the parsing accuracy usuall...
Joint Decoding with Multiple Translation Models     Joint Decoding  Multiple Translation Models       font style='font-size:12px;'> 2013/4/22
Current SMT systems usually decode with single translation models and cannot ben-efit from the strengths of other models in decoding phase. We instead proposejoint decoding, a method that combines mul...
Improving Tree-to-Tree Translation with Packed Forests     Improving Tree-to-Tree  Translation  Packed Forests       font style='font-size:12px;'> 2013/4/22
Current tree-to-tree models suffer from parsing errors as they usually use only 1-best parses for rule extraction and decod-ing. We instead propose a forest-based tree-to-tree model that uses packed f...
Current statistical machine translation sys-tems usually extract rules from bilingual corpora annotated with 1-best alignments.They are prone to learn noisy rules due to alignment mistakes. We propose...
Forest-based Translation Rule Extraction     Forest-based  Translation  Rule Extraction       font style='font-size:12px;'> 2013/4/22
Translation rule extraction is a fundamental problem in machine translation, especially for linguistically syntax-based systems that need parse trees from either or both sides of the bi-text. The curr...
The article surveys fifty years of work in computational language processing and machine translation, and suggests that a great number of the important ideas were present in the earliest days and hamp...
This paper analyses the usage of the speckle pattern decorrelation method for determination of small static and dynamic object translations. At first the philosophy of the method is presented briefly....

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