Supervised Morphological Disambiguation is a computational method in natural language processing that belongs to the class of morphological disambiguation techniques and is distinguished by its reliance on labeled training data to learn mappings from ambiguous morphological analyses to correct disambiguated forms.
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Learning morphological disambiguation rules for Turkish
Deniz Yüret, Ferhan Türe · 2006 · 94 citations · Full text
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Indian Statistical Institute
Kolkata, India
1 h-index
1 publications
10 citations
University of Zagreb
Zagreb, Croatia
1 h-index
1 publications
32 citations
Koç University
Istanbul, Türkiye
1 h-index
2 publications
188 citations
Jožef Stefan Institute
Ljubljana, Slovenia
1 h-index
1 publications
32 citations
Aalto University
Espoo, Finland
1 h-index
2 publications
52 citations
Jadavpur University
Kolkata, India
1 h-index
1 publications
10 citations
University of Engineering & Management
Kolkata, India
1 h-index
2 publications
20 citations
University of Helsinki
Helsinki, Finland
1 h-index
2 publications
52 citations
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- Language Resources and Evaluation
1 publications · 26 citations
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- Journal of The Institution of Engineers (India) Series B
1 publications · 10 citations
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