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Improving chunking accuracy on Croatian texts by morphosyntactic tagging / Vučković, Kristina ; Agić, Željko ; Tadić, Marko.

By: Kocijan, Kristina.
Contributor(s): Tadić, Marko [aut] | Agić, Željko [aut].
Material type: materialTypeLabelArticleDescription: 1944-1949.Other title: Improving Chunking Accuracy on Croatian Texts by Morphosyntactic Tagging [Naslov na engleskom:].Subject(s): 5.04 | 6.03 | chunking, partial parsing, morphosyntactic tagging hrv | chunking, partial parsing, morphosyntactic tagging engOnline resources: Click here to access online | Click here to access online In: Seventh International Conference on Language Resources and Evaluation (19.-21.05.2010. ; Valletta, Malta) Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC2010) str. 1944-1949Calzolari, Nicoletta ; Choukri, Khalid ; Maegaard, Bente ; Mariani, Joseph ; Odjik, Jan ; Piperidis, Stelios ; Rosner, Mike ; Tapias, DanielSummary: In this paper, we present the results of an experiment with utilizing a stochastic morphosyntactic tagger as a pre-processing module of a rule-based chunker and partial parser for Croatian in order to raise its overall chunking and partial parsing accuracy on Croatian texts. In order to conduct the experiment, we have manually chunked and partially parsed 459 sentences from the Croatia Weekly 100 kw newspaper sub-corpus taken from the Croatian National Corpus, that were previously also morphosyntactically disambiguated and lemmatized. Due to the lack of resources of this type, these sentences were designated as a temporary chunking and partial parsing gold standard for Croatian. We have then evaluated the chunker and partial parser in three different scenarios: (1) chunking previously morphosyntactically untagged text, (2) chunking text that was tagged using the stochastic morphosyntactic tagger for Croatian and (3) chunking manually tagged text. The obtained F1- scores for the three scenarios were, respectively, 0.875 (P: 0.826, R: 0.930), 0.900 (P: 0.866, R: 0.937) and 0.930 (P: 0.912, R: 0.949). The paper provides the description of language resources and tools used in the experiment, its setup and discussion of results and perspectives for future work.
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In this paper, we present the results of an experiment with utilizing a stochastic morphosyntactic tagger as a pre-processing module of a rule-based chunker and partial parser for Croatian in order to raise its overall chunking and partial parsing accuracy on Croatian texts. In order to conduct the experiment, we have manually chunked and partially parsed 459 sentences from the Croatia Weekly 100 kw newspaper sub-corpus taken from the Croatian National Corpus, that were previously also morphosyntactically disambiguated and lemmatized. Due to the lack of resources of this type, these sentences were designated as a temporary chunking and partial parsing gold standard for Croatian. We have then evaluated the chunker and partial parser in three different scenarios: (1) chunking previously morphosyntactically untagged text, (2) chunking text that was tagged using the stochastic morphosyntactic tagger for Croatian and (3) chunking manually tagged text. The obtained F1- scores for the three scenarios were, respectively, 0.875 (P: 0.826, R: 0.930), 0.900 (P: 0.866, R: 0.937) and 0.930 (P: 0.912, R: 0.949). The paper provides the description of language resources and tools used in the experiment, its setup and discussion of results and perspectives for future work.

Projekt MZOS 130-1300646-0645

Projekt MZOS 130-1300646-1776

ENG

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