搜索结果: 1-15 共查到“机器翻译 machine”相关记录15条 . 查询时间(0.157 秒)
APPLICATION OF CLASSIFICATION ALGORITHM OF MACHINE LEARNING AND BUFFER ANALYSIS IN TORISM REGIONAL PLANNING
the Chaohu Lake Land Use Classification Change Monitoring SVM Buffer Zone Analysis
2018/5/16
Remote Sensing (RS) and Geography Information System (GIS) technologies are widely used in ecological analysis and regional planning. With the advantages of large scale monitoring, combination of poin...
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...
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...
Introduction to China’s CWMT2008 Machine Translation Evaluation
Introduction China’s CWMT2008 Machine Translation Evaluation
2013/4/22
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
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...
Weighted Alignment Matrices for Statistical Machine Translation
Weighted Alignment Matrices Statistical Machine Translation
2013/4/22
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...