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第十三届全国机器翻译研讨会(CWMT 2017)于2017年9月27-29日在中国大连举行。
全国机器翻译研讨会自2005年召开第一届以来，已连续成功组织召开了十二届，共组织过六次机器翻译评测（2007、2008、2009、2011、2013、2015），一次开源系统模块开发（2006）和两次战略研讨（2010、2012），这些活动对于推动我国机器翻译技术的研究和开发产生了积极而深远的影响。因...
Re-structuring, Re-labeling, and Re-aligning for Syntax-Based Machine Translation
Syntax-Based Machine Translation Re-labeling,
2015/9/8
his article shows that the structure of bilingual material from standard parsing and alignment
tools is not optimal for training syntax-based statistical machine translation (SMT) systems.
We presen...
Segmentation for English-to-Arabic Statistical Machine Translation
English-to-Arabic Machine Translation
2014/11/27
In this paper, we report on a set of initial results for English-to-Arabic Statistical Machine Translation (SMT). We show that morphological decomposition of the Arabic source is beneficial, especiall...
A Markov Model of Machine Translation using Non-parametric Bayesian Inference
Markov Model Machine Translation Non-parametric Bayesian Inference
2014/3/20
Most modern machine translation systems use phrase pairs as translation units, allowing for accurate modelling of phraseinternal translation and reordering. However phrase-based approaches are much le...
Modelling Annotator Bias with Multi-task Gaussian Processes: An Application to Machine Translation Quality Estimation
Modelling Annotator Bias Multi-task Gaussian Processes:Machine Translation Quality Estimation
2014/3/20
Annotating linguistic data is often a complex, time consuming and expensive endeavour. Even with strict annotation guidelines, human subjects often deviate in their analyses, each bringing different b...
Maximum Rank Correlation Training for Statistical Machine Translation
Maximum Rank Correlation Training Statistical Machine Translation
2013/4/22
We propose Maximum Ranking Correlation (MRC) as an objective function in discrimi-native tuning of parameters in a linear model of Statistical Machine Translation (SMT). We try to maximize the ranking...
A Novel Dependency-to-String Model for Statistical Machine Translation
Novel Dependency-to-String Model Statistical Machine Translation
2013/4/22
Dependency structure, as a first step towards semantics, is believed to be helpful to improve translation quality. However, previous works on dependency structure based models typi-cally resort to ins...
Dependency-Based Bracketing Transduction Grammar for Statistical Machine Translation
Dependency-Based Bracketing Transduction Grammar Statistical Machine Translation
2013/4/22
In this paper, we propose a novel dependency-based bracketing transduc-tion grammar for statistical machine translation, which converts a source sen-tence into a target dependency tree. Dif-ferent fro...
The ICT Statistical Machine Translation System for IWSLT 2010
ICT Statistical Machine Translation System IWSLT 2010
2013/4/22
This paper illustrates the ICT Statistical Machine Transla-tion system used in the evaluation campaign of the Interna-tional Workshop on Spoken Language Translation 2010. We participate in the DIALOG ...
Dependency Forest for Statistical Machine Translation
Dependency Forest Statistical Machine Translation
2013/4/22
We propose a structure calleddependency forest for statistical machine translation.A dependency forest compactly represents multiple dependency trees. We develop new algorithms for extracting string-t...
Dependency-Based Bracketing Transduction Grammar for Statistical Machine Translation
Dependency-Based Bracketing Transduction Grammar Statistical Machine Translation
2013/4/22
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...
An Efficient Shift-Reduce Decoding Algorithm for Phrased-Based Machine Translation
Efficient Shift-Reduce Decoding Algorithm Phrased-Based Machine Translation
2013/4/22
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...
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...
Non-Projective Parsing for Statistical Machine Translation
Non-Projective Parsing Statistical Machine Translation
2013/4/22
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...
11001 New Features for Statistical Machine Translation
11001 New Features Statistical Machine Translation
2013/4/22
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...