Dimitar Kazakov. An inductive approach to natural language parser design. In Kemal Oflazer and Harold Somers, editors, Proceedings of NeMLaP-2, pages 209-- 217, Ankara, 1996. Bilkent University. Home/Search Document Not in Database Summary Related Articles Check |
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Unsupervised Learning of Word Segmentation Rules with.. - Kazakov, Manandhar (2000) (4 citations) Self-citation (Kazakov) (Correct)
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Dimitar Kazakov. An inductive approach to natural language parser design. In Kemal Oflazer and Harold Somers, editors, Proceedings of NeMLaP-2, pages 209-- 217, Ankara, 1996. Bilkent University.
Combining LAPIS and WordNet for the Learning of LR Parsers with.. - Kazakov Self-citation (Kazakov) (Correct)
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Dimitar Kazakov. An inductive approach to natural language parser design. In Kemal Oflazer and Harold Somers, editors, Proceedings of the Second International Conference on New Methods in Natural Language Processing, pages 209--217, Ankara, Turkey, September 1996. Bilkent University. ISBN 975-7679-16-X.
Unsupervised Learning of Word Segmentation Rules with.. - Kazakov, Manandhar (2001) (4 citations) Self-citation (Kazakov) (Correct)
.... ILP Learning of Morphology Inductive Logic Programming (ILP) Lavrac and Dzeroski, 1994) has proved to be a feasible way to learn linguistic knowledge in domains, such as morphological analysis (Blockeel, 1994) part of speech tagging (Cussens, 1997) and parsing (Zelle and Mooney, 1993; Kazakov, 1996). Unlike statistical or connectionist approaches, the learnt theory can be easily understood and modified by a human expert. ILP has been applied to learning word morphology on several occasions. In most cases, the main task is to learn the relationship between a word and its morphosyntactic ....
Kazakov, D.: 1996, `An Inductive Approach to Natural Language Parser Design'. In: K. Oflazer and H. Somers (eds.): Proceedings of NeMLaP-2. Ankara, pp. 209--217, Bilkent University.
A Hybrid Approach to Word Segmentation - Kazakov, Manandhar (1998) (7 citations) Self-citation (Kazakov) (Correct)
.... word segmentation [13] This principle has also been used for text to speech conversion rules [16] Inductive logic programming (ILP) 10] has proved to be a feasible way to learn linguistic knowledge in different domains, such as morphological analysis [1] part of speech taging [4] and parsing [8]. Unlike statistical or connectionist approaches, these results are comprehensible and a human expert can easily interpret or modify them. However, ILP remains within the supervised learning paradigm and requires preprocessed (classified) input data. Another possible limitation of ILP approach in ....
Dimitar Kazakov. An inductive approach to natural language parser design. In Kemal Oflazer and Harold Somers, editors, Proceedings of Nemlap-2, pages 209-- 217, Ankara, Turkey, September 1996. Bilkent University.
Machine Learning And Language Acquisition: A Model Of Child's.. - Altun (1999) (Correct)
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Kazakov D. An Inductive Approach to Natural Language Parser Design. In Proceedings of NeMLaP-2, pp 209-217, Bilkent University, Ankara, 1996.
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