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» Word Sense Language Model for Information Retrieval
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137
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TASLP
2008
207views more  TASLP 2008»
15 years 3 months ago
Joint Morphological-Lexical Language Modeling for Processing Morphologically Rich Languages With Application to Dialectal Arabic
Language modeling for an inflected language such as Arabic poses new challenges for speech recognition and machine translation due to its rich morphology. Rich morphology results i...
Ruhi Sarikaya, Mohamed Afify, Yonggang Deng, Hakan...
117
Voted
VL
2008
IEEE
130views Visual Languages» more  VL 2008»
15 years 9 months ago
Visualization for information exploration and analysis
Making sense of data becomes more challenging as the data grows larger and becomes more complex. If a picture truly can be worth a thousand words, then clever visualizations of da...
John T. Stasko
125
Voted
ACL
2003
15 years 4 months ago
A Syllable Based Word Recognition Model for Korean Noun Extraction
Noun extraction is very important for many NLP applications such as information retrieval, automatic text classification, and information extraction. Most of the previous Korean ...
Do-Gil Lee, Hae-Chang Rim, Heui-Seok Lim
118
Voted
IJCPOL
2008
117views more  IJCPOL 2008»
15 years 3 months ago
Transliterated Named Entity Recognition Based on Chinese Word Sketch
One of the unique challenges to Chinese Language Processing is cross-strait named entity recognition. Due to the adoption of different transliteration strategies, foreign name tra...
Petr Simon, Chu-Ren Huang, Shu-Kai Hsieh, Jia-Fei ...
118
Voted
ICASSP
2008
IEEE
15 years 10 months ago
On-demand new word learning using world wide web
Most of the Web-based methods for lexicon augmenting consist in capturing global semantic features of the targeted domain in order to collect relevant documents from the Web. We s...
Stanislas Oger, Georges Linares, Fréd&eacut...