搜索结果: 1-15 共查到“机器翻译 Translation”相关记录28条 . 查询时间(0.112 秒)
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...
An Investigation on the Effectiveness of Features for Translation Quality Estimation
Investigation Effectiveness Features Translation Quality Estimation
2014/3/20
We describe a systematic analysis on the effectiveness of features commonly exploited for the problem of predicting machine translation quality. Using a feature selection technique based on Gaussian P...
An Infinite Hierarchical Bayesian Model of Phrasal Translation
An Infinite Hierarchical Bayesian Model Phrasal Translation
2014/3/20
Modern phrase-based machine translation systems make extensive use of wordbased translation models for inducing alignments from parallel corpora. This is problematic, as the systems are incapable of a...
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...
We introduce synchronous tree adjoining grammars (TAG) into tree-to-string transla-tion, which converts a source tree to a target string. Without reconstructing TAG deriva-tions explicitly, our rule e...
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...
Rule Markov Models for Fast Tree-to-String Translation
Rule Markov Models Fast Tree-to-String Translation
2013/4/22
Most statistical machine translation systems rely on composed rules (rules that can be formed out of smaller rules in the grammar).Though this practice improves translation by weakening independence a...
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...
As tokenization is usually ambiguous for many natural languages such as Chinese and Korean, tokenization errors might po-tentially introduce translation mistakes for translation systems that rely on 1...
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...
Constituency to Dependency Translation with Forests
Constituency Dependency Translation Forests
2013/4/22
Tree-to-string systems (and their forest-based extensions) have gained steady pop-ularity thanks to their simplicity and effi-ciency, but there is a major limitation: they are unable to guarantee the ...
Efficient Incremental Decoding for Tree-to-String Translation
Efficient Incremental Decoding Tree-to-String Translation
2013/4/22
Syntax-based translation models should in principlebe efficient with polynomially-sized search space, but in practice they are often embarassingly slow, partly due to the cost of language model integr...
Tree-based translation models, which ex-ploit the linguistic syntax of source lan-guage, usually separate decoding into two steps: parsing and translation. Although this separation makes tree-based de...
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 ...