Learning tree patterns for syntactic parsing
This paper presents a method for parsing Hungarian texts using a machine learning approach. The method collects the initial grammar for a learner from an annotated corpus with the help of tree shapes. The PGS algorithm, an improved version of the RGLearn algorithm, was developed and applied to learn...
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| Dokumentumtípus: | Cikk |
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2006
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| Sorozat: | Acta cybernetica
17 No. 3 |
| Kulcsszavak: | Számítástechnika, Nyelvészet - számítógép alkalmazása |
| Tárgyszavak: | |
| Online Access: | http://acta.bibl.u-szeged.hu/12788 |
| LEADER | 01591nab a2200253 i 4500 | ||
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| 008 | 161015s2006 hu o 0|| eng d | ||
| 022 | |a 0324-721X | ||
| 040 | |a SZTE Egyetemi Kiadványok Repozitórium |b hun | ||
| 041 | |a eng | ||
| 100 | 1 | |a Hócza András | |
| 245 | 1 | 0 | |a Learning tree patterns for syntactic parsing |h [elektronikus dokumentum] / |c Hócza András |
| 260 | |c 2006 | ||
| 300 | |a 647-659 | ||
| 490 | 0 | |a Acta cybernetica |v 17 No. 3 | |
| 520 | 3 | |a This paper presents a method for parsing Hungarian texts using a machine learning approach. The method collects the initial grammar for a learner from an annotated corpus with the help of tree shapes. The PGS algorithm, an improved version of the RGLearn algorithm, was developed and applied to learning tree patterns with various phrase types described by regular expressions. The method also calculates the probability values of the learned tree patterns. The syntactic parser of learned grammar using the Viterbi algorithm performs a quick search for finding the most probable derivation of a sentence. The results were built into an information extraction pipeline. | |
| 650 | 4 | |a Természettudományok | |
| 650 | 4 | |a Számítás- és információtudomány | |
| 650 | 4 | |a Bölcsészettudományok | |
| 650 | 4 | |a Nyelvek és irodalom | |
| 695 | |a Számítástechnika, Nyelvészet - számítógép alkalmazása | ||
| 710 | |a Conference on Hungarian Computational Linguistics (2.) (2004) (Szeged) | ||
| 856 | 4 | 0 | |u http://acta.bibl.u-szeged.hu/12788/1/Hocza_2006_ActaCybernetica.pdf |z Dokumentum-elérés |