Name
Abstract | ||
|---|---|---|
An approach to cross-linguistic transfer of verb valence frames for Czech and Croatian language using VerbNet syntactic-semantic classification is presented. Confronting Czech-Croatian pairs of valence frames for each syntactic-semantic class, we extracted the semantic part of the Czech valence frames and applied the subcategorization features to Croatian with minor (mainly syntactic) modifications. The encouraging results suggest that other similar (Slavic) languages could benefit from the same approach. It is shown that even for languages that do not have sufficiently developed NLP resources that are highly relevant for verb subcategorization (such asWordNet), it is possible to obtain valence lexicon applying small number of rules for cross-linguistic syntactic transfer and using Levin's verb classes. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-40585-3_62 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
VerbNet classification,verb subcategorization,frame assignement,Croatian language,Czech language | Verb,Slavic languages,Czech,Subcategorization,Computer science,VerbNet,Speech recognition,Lexicon,Natural language processing,Artificial intelligence,WordNet,Syntax | Conference |
Volume | ISSN | Citations |
8082 | 0302-9743 | 1 |
PageRank | References | Authors |
0.35 | 2 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nives Mikelic Preradovic | 1 | 5 | 2.97 |
| Damir Boras | 2 | 6 | 3.30 |