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» Abbreviated text input using language modeling
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ICDAR
2003
IEEE
15 years 5 months ago
Learning the lexicon from raw texts for open-vocabulary Korean word recognition
In this paper, we propose a novel method of building a language model for open-vocabulary Korean word recognition. Due to the complex morphology of Korean, it is inappropriate to ...
Sungho Ryu, Jin Hyung Kim
NLPRS
2001
Springer
15 years 4 months ago
Linguistic Techniques to Improve the Performance of Automatic Text Categorization
This paper presents a method for incorporating natural language processing into existing text categorization procedures. Three aspects are considered in the investigation: (i) a m...
Akiko N. Aizawa
AAAI
2008
15 years 2 months ago
An Effective and Robust Method for Short Text Classification
Classification of texts potentially containing a complex and specific terminology requires the use of learning methods that do not rely on extensive feature engineering. In this w...
Victoria Bobicev, Marina Sokolova
NAACL
2007
15 years 1 months ago
Language Modeling for Determiner Selection
We present a method for automatic determiner selection, based on an existing language model. We train on the Penn Treebank and also use additional data from the North American New...
Jenine Turner, Eugene Charniak
ICDAR
2005
IEEE
15 years 5 months ago
Distinguishing Mathematics Notation from English Text using Computational Geometry
A trainable method for distinguishing between mathematics notation and natural language (here, English) in images of textlines, using computational geometry methods only with no a...
Derek M. Drake, Henry S. Baird