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@article{558001, author = {Šmerk, Pavel}, article_location = {Berlin}, article_number = {1}, keywords = {morphological disambiguation;tagging;morphological tagging;unsupervised learning}, language = {eng}, issn = {0302-9743}, journal = {Lecture Notes in Computer Science}, title = {Unsupervised Learning of Rules for Morphological Disambiguation}, volume = {3206}, year = {2004} }
TY - JOUR ID - 558001 AU - Šmerk, Pavel PY - 2004 TI - Unsupervised Learning of Rules for Morphological Disambiguation JF - Lecture Notes in Computer Science VL - 3206 IS - 1 SP - 211-216 EP - 211-216 PB - Springer Verlag SN - 03029743 KW - morphological disambiguation;tagging;morphological tagging;unsupervised learning N2 - State-of-the-art rule-based tools for morphological disambiguation use either manually crafted rules or rules learnt from manually annotated data. This paper presents a new method of learning rules for morphological disambiguation using only unannotated data. The inductive logic programming and active learning are employed. The induced rules display very promising acurracy. Also the probable limitations of the proposed method are discussed. ER -
ŠMERK, Pavel. Unsupervised Learning of Rules for Morphological Disambiguation. \textit{Lecture Notes in Computer Science}. Berlin: Springer Verlag, 2004, roč.~3206, č.~1, s.~211-216. ISSN~0302-9743.
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