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EMNLP
2008
15 years 6 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
140
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EMNLP
2008
15 years 6 months ago
Learning with Probabilistic Features for Improved Pipeline Models
We present a novel learning framework for pipeline models aimed at improving the communication between consecutive stages in a pipeline. Our method exploits the confidence scores ...
Razvan C. Bunescu
HIS
2008
15 years 6 months ago
REPMAC: A New Hybrid Approach to Highly Imbalanced Classification Problems
The class imbalance problem (when one of the classes has much less samples than the others) is of great importance in machine learning, because it corresponds to many critical app...
Hernán Ahumada, Guillermo L. Grinblat, Luca...
LREC
2008
132views Education» more  LREC 2008»
15 years 6 months ago
Babylon Parallel Text Builder: Gathering Parallel Texts for Low-Density Languages
This paper describes BABYLON, a system that attempts to overcome the shortage of parallel texts in low-density languages by supplementing existing parallel texts with texts gather...
Michael Mohler, Rada Mihalcea
IJCAI
2007
15 years 6 months ago
Inferring Long-term User Properties Based on Users' Location History
Recent development of location technologies enables us to obtain the location history of users. This paper proposes a new method to infer users’ longterm properties from their r...
Yutaka Matsuo, Naoaki Okazaki, Kiyoshi Izumi, Yosh...