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» Robust Morphologic Analyzer for Highly Inflected Languages
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ICASSP
2009
IEEE
13 years 9 months ago
Neural network based language models for highly inflective languages
Speech recognition of inflectional and morphologically rich languages like Czech is currently quite a challenging task, because simple n-gram techniques are unable to capture impo...
Tomas Mikolov, Jirí Kopecký, Lukas B...
DEXAW
2007
IEEE
141views Database» more  DEXAW 2007»
13 years 11 months ago
Automatic Annotation for Korean--Approach Based on the Contextual Exploration Method
We present an automatic semantic annotation system for Korean based on the Contextual Exploration Method. Creating a morphological analyzer and part-of-speech tagger for the Korea...
Hyunzoo Chai
EMNLP
2007
13 years 6 months ago
Unsupervised Part-of-Speech Acquisition for Resource-Scarce Languages
This paper proposes a new bootstrapping approach to unsupervised part-of-speech induction. In comparison to previous bootstrapping algorithms developed for this problem, our appro...
Sajib Dasgupta, Vincent Ng
COLING
1992
13 years 6 months ago
A Freely Available Wide Coverage Morphological Analyzer for English
This paper presents a morphological lexicon for English that handle more than 317000 inflected forms derived from over 90000 stems. The lexicon is available in two formats. The fi...
Daniel Karp, Yves Schabes, Martin Zaidel, Dania Eg...
ANLP
1997
137views more  ANLP 1997»
13 years 6 months ago
Probabilistic and Rule-Based Tagger of an Inflective Language- a Comparison
We present results of probabilistic tagging of Czech texts in order to show how these techniques work for one of the highly morphologically ambiguous inflective languages. After d...
Jan Hajic, Barbora Hladká