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» Part-of-Speech Tagging using a Variable Memory Markov Model
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ACL
1994
13 years 6 months ago
Part-of-Speech Tagging using a Variable Memory Markov Model
Wepresent a new approachtodisambiguatingsyntactically ambiguous words in context, based on Variable Memory Markov (VMM) models. In contrast to xed-length Markovmodels,whichpredict...
Hinrich Schütze, Yoram Singer
ACL
2006
13 years 6 months ago
Morphological Richness Offsets Resource Demand - Experiences in Constructing a POS Tagger for Hindi
In this paper we report our work on building a POS tagger for a morphologically rich language- Hindi. The theme of the research is to vindicate the stand that- if morphology is st...
Smriti Singh, Kuhoo Gupta, Manish Shrivastava, Pus...
ACL
2003
13 years 6 months ago
Self-Organizing Markov Models and Their Application to Part-of-Speech Tagging
This paper presents a method to develop a class of variable memory Markov models that have higher memory capacity than traditional (uniform memory) Markov models. The structure of...
Jin-Dong Kim, Hae-Chang Rim, Jun-ichi Tsujii
ICMLA
2008
13 years 6 months ago
Detection of Sequential Outliers Using a Variable Length Markov Model
Mining for outliers in sequential databases is crucial to forward appropriate analysis of data. Therefore, many approaches for the discovery of such anomalies have been proposed. ...
Cécile Low-Kam, Anne Laurent, Maguelonne Te...
COLT
1994
Springer
13 years 9 months ago
Learning Probabilistic Automata with Variable Memory Length
We propose and analyze a distribution learning algorithm for variable memory length Markov processes. These processes can be described by a subclass of probabilistic nite automata...
Dana Ron, Yoram Singer, Naftali Tishby