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Pregled bibliografske jedinice broj: 174962

Enlarging the Croatian Morphological Lexicon by Automatic Lexical Acquisition from Raw Corpora


Oliver, Antoni; Tadić, Marko
Enlarging the Croatian Morphological Lexicon by Automatic Lexical Acquisition from Raw Corpora // Fourth International Conference on Language Resources and Evaluation LREC2004 / Lino, Maria Teresa ; Xavier, Maria Francesca ; Ferreira, Fátima ; Costa, Rute ; Silva, Raquel (ur.).
Pariz : Lisabon: European Language Resources Association (ELRA), 2004. str. 1259-1262


CROSBI ID: 174962 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Enlarging the Croatian Morphological Lexicon by Automatic Lexical Acquisition from Raw Corpora

Autori
Oliver, Antoni ; Tadić, Marko

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni

Knjiga
Fourth International Conference on Language Resources and Evaluation LREC2004

Urednik/ci
Lino, Maria Teresa ; Xavier, Maria Francesca ; Ferreira, Fátima ; Costa, Rute ; Silva, Raquel

Izdavač
European Language Resources Association (ELRA)

Grad
Pariz : Lisabon

Godina
2004

Raspon stranica
1259-1262

ISBN
2-9517408-1-6

Ključne riječi
morphological lexicon, Croatian language, automatic lexical acquisition, machine learning

Sažetak
This paper presents experiments for enlarging the Croatian Morphological Lexicon by applying an automatic acquisition methodology. The basic sources of information for the system are a set of morphological rules and a raw corpus. The morphological rules have been automatically derived from the existing Croatian Morphological Lexicon and we have used in our experiments a subset of the Croatian National Corpus. The methodology has proved to be efficient for those languages that, like Croatian, present a rich and mainly concatenative morphology. This method can be applied for the creation of new resources, as well as in the enrichment of existing ones. We also present an extension of the system that uses automatic querying to Internet to acquire those entries for which we have not enough information in our corpus.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti, Filologija



POVEZANOST RADA


Projekti:
0130418

Ustanove:
Filozofski fakultet, Zagreb

Profili:

Avatar Url Marko Tadić (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada

Citiraj ovu publikaciju:

Oliver, Antoni; Tadić, Marko
Enlarging the Croatian Morphological Lexicon by Automatic Lexical Acquisition from Raw Corpora // Fourth International Conference on Language Resources and Evaluation LREC2004 / Lino, Maria Teresa ; Xavier, Maria Francesca ; Ferreira, Fátima ; Costa, Rute ; Silva, Raquel (ur.).
Pariz : Lisabon: European Language Resources Association (ELRA), 2004. str. 1259-1262
Oliver, A. & Tadić, M. (2004) Enlarging the Croatian Morphological Lexicon by Automatic Lexical Acquisition from Raw Corpora. U: Lino, M., Xavier, M., Ferreira, F., Costa, R. & Silva, R. (ur.) Fourth International Conference on Language Resources and Evaluation LREC2004. Pariz : Lisabon, European Language Resources Association (ELRA), str. 1259-1262.
@inbook{inbook, author = {Oliver, Antoni and Tadi\'{c}, Marko}, year = {2004}, pages = {1259-1262}, keywords = {morphological lexicon, Croatian language, automatic lexical acquisition, machine learning}, isbn = {2-9517408-1-6}, title = {Enlarging the Croatian Morphological Lexicon by Automatic Lexical Acquisition from Raw Corpora}, keyword = {morphological lexicon, Croatian language, automatic lexical acquisition, machine learning}, publisher = {European Language Resources Association (ELRA)}, publisherplace = {Pariz : Lisabon} }
@inbook{inbook, author = {Oliver, Antoni and Tadi\'{c}, Marko}, year = {2004}, pages = {1259-1262}, keywords = {morphological lexicon, Croatian language, automatic lexical acquisition, machine learning}, isbn = {2-9517408-1-6}, title = {Enlarging the Croatian Morphological Lexicon by Automatic Lexical Acquisition from Raw Corpora}, keyword = {morphological lexicon, Croatian language, automatic lexical acquisition, machine learning}, publisher = {European Language Resources Association (ELRA)}, publisherplace = {Pariz : Lisabon} }




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