Cuong Anh Le

According to our database1, Cuong Anh Le authored at least 13 papers between 2004 and 2016.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2016
Smoothing the parameter of IBM word alignment models: the framework and its learning approaches.
CoRR, 2016

2015
Improving Word Alignment Through Morphological Analysis.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2015

2012
Refining lexical translation training scheme for improving the quality of statistical phrase-based translation.
Proceedings of the Symposium on Information and Communication Technology 2012, 2012

A Systematic Comparison between Various Statistical Alignment Models for Statistical English-Vietnamese Phrase-Based Translation.
Proceedings of the Fourth International Conference on Knowledge and Systems Engineering, 2012

Improving the Quality of Word Alignment by Integrating Pearson's Chi-Square Test Information.
Proceedings of the 2012 International Conference on Asian Language Processing, 2012

2010
Adaptively entropy-based weighting classifiers in combination using Dempster-Shafer theory for word sense disambiguation.
Comput. Speech Lang., 2010

2009
An Experimental Study on Vietnamese POS Tagging.
Proceedings of the 2009 International Conference on Asian Language Processing, 2009

2007
Combining classifiers for word sense disambiguation based on Dempster-Shafer theory and OWA operators.
Data Knowl. Eng., 2007

2006
Applying RST Relations to Semantic Search.
Proceedings of the Text, Speech and Dialogue, 9th International Conference, 2006

2005
Combining Classifiers Based on OWA Operators with an Application to Word Sense Disambiguation.
Proceedings of the Rough Sets, 2005

Combining Classifiers with Multi-representation of Context in Word Sense Disambiguation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

An Evidential Reasoning Approach to Weighted Combination of Classifiers for Word Sense Disambiguation.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

2004
High WSD Accuracy Using Naive Bayesian Classifier with Rich Features.
Proceedings of the 18th Pacific Asia Conference on Language, Information and Computation, 2004


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