Knjižnica Filozofskog fakulteta
Sveučilišta u Zagrebu
Faculty of Humanities and Social Sciences Institutional Repository

Towards Parsing Croatian Complex Sentences: Dependent Noun Clauses


Downloads per month over past year

Štefanec, Vanja and Vučković, Kristina and Dovedan, Zdravko. (2011). Towards Parsing Croatian Complex Sentences: Dependent Noun Clauses. In: NooJ 2010 International Conference and Workshop, 27-29 May 2010, Komotini, Grčka.

This is the latest version of this item.

PDF (English) - Published Version
Download (327kB) | Preview
[img] Microsoft PowerPoint (English) - Presentation
Download (502kB)


In this paper, authors will present methods for parsing Croatian complex sentences in which a dependent clause serves as a direct object to the main verb. This research is based on the resources that have already been developed for parsing simple Croatian sentences. So far, sentences that we were able to parse using these resources are of the basic structure consisting of a subject, verb, direct and indirect object, adverbial of time and place. Methods we shall present in this paper will extend this structure to the following sentence structure > and, although quite rare and stylistically marked, to the structure < main clause>. Our primary indicator for this type of sentence will be the absence of the required direct object in the main clause as well as the presence of one of the subordinating conjunctions (‘da’, ‘kako’) or complementizers (relative pronoun, adverb of place, time, cause or manner). Since this type of complex sentences is very common in Croatian language, we believe that this research will be a valuable contribution to Croatian module for NooJ. At the end of the paper, we will evaluate the adequacy of the model through precision, recall and f-measure.

Item Type: Published conference work (Lecture)
Uncontrolled Keywords: parse trees, partial parser, main clause, dependent clause, Croatian language, NooJ, clause detection, object clauses
Subjects: Information sciences > Social-humanistic informatics
Departments: Department of Information Science
Date Deposited: 21 Feb 2017 11:38
Last Modified: 21 Feb 2017 11:38

Available Versions of this Item

Actions (login required)

View Item View Item