Sentence classification and clause detection for Croatian
We present a method for classifying Croatian sentences by structure and detecting independent and dependent clauses within these sentences and provide its evaluation. A prototype system applying the method was implemented by using the NooJ linguistic development environment, both for purposes of thi...
| Permalink: | http://skupni.nsk.hr/Record/ffzg.KOHA-OAI-FFZG:316872/Details |
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| Matična publikacija: |
Proceedings of the 7th International Conference on Formal Approaches to South Slavic and Balkan Languages Zagreb : Croatian Language Technologies Society -- Faculty of Humanities and Social Sciences, 2010 |
| Glavni autori: | Kocijan, Kristina (-), Tadić, Marko (Author), Agić, Željko |
| Vrsta građe: | Članak |
| Jezik: | eng |
| Online pristup: |
http://hnk.ffzg.hr/fassbl2010/ |
| LEADER | 02689naa a2200277uu 4500 | ||
|---|---|---|---|
| 008 | 131111s2010 xx 1 eng|d | ||
| 035 | |a (CROSBI)484912 | ||
| 040 | |a HR-ZaFF |b hrv |c HR-ZaFF |e ppiak | ||
| 100 | 1 | |9 446 |a Kocijan, Kristina | |
| 245 | 1 | 0 | |a Sentence classification and clause detection for Croatian / |c Vučković, Kristina ; Agić, Željko ; Tadić, Marko. |
| 246 | 3 | |i Naslov na engleskom: |a Sentence Classification and Clause Detection for Croatian | |
| 300 | |a 131-138 |f str. | ||
| 520 | |a We present a method for classifying Croatian sentences by structure and detecting independent and dependent clauses within these sentences and provide its evaluation. A prototype system applying the method was implemented by using the NooJ linguistic development environment, both for purposes of this experiment and for further utilization in a prototype rule-based chunking and shallow parsing system for Croatian. With regards to pre-processing, we implemented and evaluated three different approaches to designing the system: (1) no pre-processing of input sentences, (2) automatic morphosyntactic tagging of sentences by using the CroTag stochastic tagger and (3) manual morphosyntactic annotation of input sentences. All three approaches were evaluated for sentence classification and clause detection accuracy in terms of precision and recall. The highest scoring system was the one using sentences with manually assigned morphosyntactic tags as input and it scored an overall F1-measure of 0.861 (P: 0.928, R: 0.813). In the paper, a more detailed discussion of system design and experiment setup is provided, followed by a discussion of the obtained results and future research directions. | ||
| 536 | |a Projekt MZOS |f 130-1300646-0645 | ||
| 536 | |a Projekt MZOS |f 130-1300646-1776 | ||
| 546 | |a ENG | ||
| 690 | |a 5.04 | ||
| 690 | |a 6.03 | ||
| 693 | |a sentence detection, sentence classification, clause detection, Croatian language |l hrv |2 crosbi | ||
| 693 | |a sentence detection, sentence classification, clause detection, Croatian language |l eng |2 crosbi | ||
| 773 | 0 | |a Formal Approaches to South Slavic and Balkan Languages (04-06.10.2010. ; Dubrovnik, Hrvatska) |t Proceedings of the 7th International Conference on Formal Approaches to South Slavic and Balkan Languages |d Zagreb : Croatian Language Technologies Society -- Faculty of Humanities and Social Sciences, 2010 |n Tadić, Marko ; Dimitrova-Vulchanova, Mila ; Koeva, Svetla |z 978-953-55375-2-6 |g str. 131-138 | |
| 700 | 1 | |9 888 |a Tadić, Marko |4 aut | |
| 700 | 1 | |9 495 |a Agić, Željko |4 aut | |
| 856 | |u http://hnk.ffzg.hr/fassbl2010/ | ||
| 942 | |c RZB |u 2 |v Recenzija |z Znanstveni - Predavanje - CijeliRad |t 1.08 | ||
| 999 | |c 316872 |d 316870 | ||