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» Using Lexical Similarity in Handwritten Word Recognition
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ICDAR
2011
IEEE
13 years 11 months ago
A New Feature Optimization Method Based on Two-Directional 2DLDA for Handwritten Chinese Character Recognition
—LDA transformation is one of the popular feature dimension reduction techniques for the feature extraction in most handwritten Chinese characters recognition systems. The integr...
Xue Gao, Wenhuan Wen, Lianwen Jin
PAMI
2002
143views more  PAMI 2002»
14 years 11 months ago
Lexicon-Driven Segmentation and Recognition of Handwritten Character Strings for Japanese Address Reading
This paper describes a handwritten character string recognition system for Japanese mail address reading on very large vocabulary. The address phrases are recognized as a whole bec...
Cheng-Lin Liu, Masashi Koga, Hiromichi Fujisawa
PAMI
2002
86views more  PAMI 2002»
14 years 11 months ago
Recognizing Mathematical Expressions Using Tree Transformation
We describe a robust and efficient system for recognizing typeset and handwritten mathematical notation. From a list of symbols with bounding boxes the system analyzes an expressio...
Richard Zanibbi, Dorothea Blostein, James R. Cordy
ACL
1998
15 years 1 months ago
Target Word Selection as Proximity in Semantic Space
Lexical selection is a significant problem for widecoverage machine translation: depending on the context, a given source language word can often be translated into different targ...
Scott McDonald
92
Voted
EMNLP
2007
15 years 1 months ago
Lexical Semantic Relatedness with Random Graph Walks
Many systems for tasks such as question answering, multi-document summarization, and information retrieval need robust numerical measures of lexical relatedness. Standard thesauru...
Thad Hughes, Daniel Ramage