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EMNLP
2008
14 years 11 months ago
Learning to Predict Code-Switching Points
Predicting possible code-switching points can help develop more accurate methods for automatically processing mixed-language text, such as multilingual language models for speech ...
Thamar Solorio, Yang Liu
ACLLAW
2011
14 years 1 months ago
Empty Categories in Hindi Dependency Treebank: Analysis and Recovery
In this paper, we first analyze and classify the empty categories in a Hindi dependency treebank and then identify various discovery procedures to automatically detect the existe...
Chaitanya G. S. K., Samar Husain, Prashanth Mannem
FASE
1998
Springer
15 years 1 months ago
Specifying and Analyzing Dynamic Software Architectures
A critical issue for complex component-based systems design is the modeling and analysis of architecture. One of the complicating factors in developing architectural models is acc...
Robert Allen, Rémi Douence, David Garlan
76
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BIOCOMP
2006
14 years 11 months ago
An Artificial Neural Network based Model to Analyze Malarial Data and Predict Organ Failure
Health Care Management is one of the most important and most important research areas of the new millennium. The main purpose of this work was to analyze the data on malaria patie...
Dinesh P. Mital, Shankar Srinivasan, Syed Haque, R...
COLING
2010
14 years 4 months ago
Unsupervised Discriminative Language Model Training for Machine Translation using Simulated Confusion Sets
An unsupervised discriminative training procedure is proposed for estimating a language model (LM) for machine translation (MT). An English-to-English synchronous context-free gra...
Zhifei Li, Ziyuan Wang, Sanjeev Khudanpur, Jason E...