Cross-Lingual Dependency Parsing of Related Languages with Rich Morphosyntactic Tagsets

This paper addresses cross-lingual dependency parsing using rich morphosyntactic tagsets. In our case study, we experiment with three related Slavic languages: Croatian, Serbian and Slovene. Four different dependency treebanks are used for monolingual parsing, direct cross-lingual parsing, and a rec...

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Permalink: http://skupni.nsk.hr/Record/ffzg.KOHA-OAI-FFZG:335558/Details
Matična publikacija: Proceedings of the EMNLP 2014 Workshop on Language Technology for Closely Related Languages and Language Variants
Doha, Qatar : Association for Computational Linguistics, 2014
Glavni autori: Agić, Željko (-), Tiedemann, Jörg (Author), Dobrovoljc, Kaja, Krek, Simon Merkler, Danijela, Može, Sara
Vrsta građe: Članak
Jezik: eng
Online pristup: http://bib.irb.hr/datoteka/716682.agic2014-cross.pdf
http://www.aclweb.org/anthology/W14/W14-4202
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035 |a (CROSBI)716682 
040 |a HR-ZaFF  |b hrv  |c HR-ZaFF  |e ppiak 
100 1 |9 495  |a Agić, Željko 
245 1 0 |a Cross-Lingual Dependency Parsing of Related Languages with Rich Morphosyntactic Tagsets /  |c Agić, Željko ; Tiedemann, Jörg ; Dobrovoljc, Kaja ; Krek, Simon ; Merkler, Danijela ; Može, Sara. 
246 3 |i Naslov na engleskom:  |a Cross-Lingual Dependency Parsing of Related Languages with Rich Morphosyntactic Tagsets 
300 |a 12-23  |f str. 
520 |a This paper addresses cross-lingual dependency parsing using rich morphosyntactic tagsets. In our case study, we experiment with three related Slavic languages: Croatian, Serbian and Slovene. Four different dependency treebanks are used for monolingual parsing, direct cross-lingual parsing, and a recently introduced cross-lingual parsing approach that utilizes statistical machine translation and annotation projection. We argue for the benefits of using rich morphosyntactic tagsets in cross-lingual parsing and empirically support the claim by showing large improvements over an impoverished common feature representation in form of a reduced part-of-speech tagset. In the process, we improve over the previous state-of-the-art scores in dependency parsing for all three languages. 
536 |a Projekt MZOS  |f 130-1300646-1776 
546 |a ENG 
690 |a 5.04 
693 |a cross-lingual parsing, dependency parsing, machine translation  |l hrv  |2 crosbi 
693 |a cross-lingual parsing, dependency parsing, machine translation  |l eng  |2 crosbi 
700 1 |a Tiedemann, Jörg  |4 aut 
700 1 |a Dobrovoljc, Kaja  |4 aut 
700 1 |a Krek, Simon  |4 aut  |a Merkler, Danijela 
700 1 |a Može, Sara  |4 aut 
773 0 |a EMNLP 2014 Workshop on Language Technology for Closely Related Languages and Language Variants (25-29.10.2014. ; Doha, Katar)  |t Proceedings of the EMNLP 2014 Workshop on Language Technology for Closely Related Languages and Language Variants  |d Doha, Qatar : Association for Computational Linguistics, 2014  |z 978-1-937284-96-1  |g str. 12-23 
856 |u http://bib.irb.hr/datoteka/716682.agic2014-cross.pdf 
856 |u http://www.aclweb.org/anthology/W14/W14-4202 
942 |c RZB  |u 2  |v Recenzija  |z Znanstveni - Predavanje - CijeliRad  |t 1.08 
999 |c 335558  |d 335555