Enlarging the Croatian Morphological Lexicon by Automatic Lexical Acquisition from Raw Corpora
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 exist...
Permalink: | http://skupni.nsk.hr/Record/ffzg.KOHA-OAI-FFZG:311204/Details |
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Matična publikacija: |
Fourth International Conference on Language Resources and Evaluation LREC2004 Lino, Maria Teresa ; Xavier, Maria Francesca ; Ferreira, Fátima ; Costa, Rute ; Silva, Raquel |
Glavni autori: | Oliver, Antoni (-), Tadić, Marko (Author) |
Vrsta građe: | Članak |
Jezik: | eng |
Online pristup: |
http://bib.irb.hr/datoteka/174962.lrec-457.pdf |
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035 | |a (CROSBI)174962 | ||
040 | |a HR-ZaFF |b hrv |c HR-ZaFF |e ppiak | ||
100 | 1 | |a Oliver, Antoni | |
245 | 1 | 0 | |a Enlarging the Croatian Morphological Lexicon by Automatic Lexical Acquisition from Raw Corpora / |c Oliver, Antoni ; Tadić, Marko. |
246 | 3 | |i Naslov na engleskom: |a Enlarging the Croatian Morphological Lexicon by Automatic Lexical Acquisition from Raw Corpora | |
300 | |a 1259-1262 |f str. | ||
520 | |a 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. | ||
536 | |a Projekt MZOS |f 0130418 | ||
546 | |a ENG | ||
690 | |a 5.04 | ||
690 | |a 6.03 | ||
693 | |a morphological lexicon, Croatian language, automatic lexical acquisition, machine learning |l hrv |2 crosbi | ||
693 | |a morphological lexicon, Croatian language, automatic lexical acquisition, machine learning |l eng |2 crosbi | ||
700 | 1 | |a Tadić, Marko |4 aut | |
773 | 0 | |t Fourth International Conference on Language Resources and Evaluation LREC2004 |d Pariz-Lisabon : ELRA, 2004 |n Lino, Maria Teresa ; Xavier, Maria Francesca ; Ferreira, Fátima ; Costa, Rute ; Silva, Raquel |z 2-9517408-1-6 |g str. 1259-1262 | |
856 | |u http://bib.irb.hr/datoteka/174962.lrec-457.pdf | ||
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999 | |c 311204 |d 311202 |