Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Dóra Csendes"'
Publikováno v:
2005 International Conference on Natural Language Processing and Knowledge Engineering.
The current paper has a twofold objective. On the one hand, it describes the creation and the features of the Szeged Treebank, which is currently the largest manually processed Hungarian textual database serving as a reference material for research i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc9482d73ae90d1f95f286ceb3f09a05
https://doi.org/10.1109/nlpke.2005.1598739
https://doi.org/10.1109/nlpke.2005.1598739
Publikováno v:
Text, Speech and Dialogue ISBN: 9783540287896
TSD
TSD
The major aim of the Szeged Treebank project was to create a high-quality database of syntactic structures for Hungarian that can serve as a golden standard to further research in linguistics and computational language processing. The treebank curren
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02f9dc398a73eeede00b43b139403833
https://doi.org/10.1007/11551874_16
https://doi.org/10.1007/11551874_16
Publikováno v:
Text, Speech and Dialogue ISBN: 9783540230496
TSD
Scopus-Elsevier
TSD
Scopus-Elsevier
The Szeged Corpus is a manually annotated natural language corpus comprising 1.2 million word entries plus 225 thousand punctuation marks. With this, it is the largest manually processed Hungarian textual database that serves as a reference material
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::283149f3c29f98a87ad85e6778b85515
https://doi.org/10.1007/978-3-540-30120-2_6
https://doi.org/10.1007/978-3-540-30120-2_6