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» Context Based Word Prediction for Texting Language
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FSMNLP
2005
Springer
15 years 3 months ago
TAGH: A Complete Morphology for German Based on Weighted Finite State Automata
TAGH is a system for automatic recognition of German word forms. It is based on a stem lexicon with allomorphs and a concatenative mechanism for inflection and word formation. Wei...
Alexander Geyken, Thomas Hanneforth
ACL
1998
14 years 11 months ago
A Concept-based Adaptive Approach to Word Sense Disambiguation
Word sense disambiguation for unrestricted text is one of the most difficult tasks in the fields of computational linguistics. The crux of the problem is to discover a model that ...
Jen Nan Chen, Jason S. Chang
CICLING
2008
Springer
14 years 12 months ago
On Ontology Based Abduction for Text Interpretation
Abstract. Text interpretation can be considered as the process of extracting deep-level semantics from unstructured text documents. Deeplevel semantics represent abstract index str...
Irma Sofia Espinosa Peraldi, Atila Kaya, Sylvia Me...
CIKM
2010
Springer
14 years 8 months ago
Context modeling for ranking and tagging bursty features in text streams
Bursty features in text streams are very useful in many text mining applications. Most existing studies detect bursty features based purely on term frequency changes without takin...
Wayne Xin Zhao, Jing Jiang, Jing He, Dongdong Shan...
EACL
2006
ACL Anthology
14 years 11 months ago
Exploring the Sense Distributions of Homographs
This paper quantitatively investigates in how far local context is useful to disambiguate the senses of an ambiguous word. This is done by comparing the co-occurrence frequencies ...
Reinhard Rapp