Paper Info
Title
Rule-Based Chunker for Croatian
Abstract
In this paper we discuss a rule-based approach to chunking sentences in Croatian, implemented using local regular grammars within the NooJ development environment. We describe the rules and their implementation by regular grammars and at the same time show that in NooJ environment it is extremely easy to fine tune their different sub-rules. Since Croatian has strong morphosyntactic features that are shared between most or all elements of a chunk, the rules are built by taking these features into account and strongly relying on them. For the evaluation of our chunker we used a extracted set of manually annotated sentences from 100 kw MSD/tagged and disambiguated Croatian corpus. Our chunker performed the best on VP-chunks (F: 97.01), while NP-chunks (F: 92.31) and PP-chunks (F: 83.08) were of lower quality. The results are comparable to chunker performance of CoNLL-2000 shared task of chunking.
Year
Venue
Keywords
2008
LREC
rule based
Field
DocType
Citations 
Rule-based machine translation,Rule-based system,Development environment,Computer science,Speech recognition,Natural language processing,Chunking (psychology),Artificial intelligence,Croatian
Conference
5
PageRank 
References 
Authors
0.92
14
3
Name
Order
Citations
PageRank
Kristina Vuckovic192.85
Marko Tadić28015.61
Zdravko Dovedan3192.80