Romanian dependency parser developed based on parsers for other Romanic languages
Journal Title: Romanian Journal of Human - Computer Interaction - Year 2014, Vol 7, Issue 1
Abstract
Determining the syntactic dependencies is an important task in natural language processing, as it is useful for improving the results of a wide range of applications, such as machine translation, opinion mining, question-answering systems and others. This paper presents an initial step for semi-automatically building a corpus annotated with syntactic dependencies for Romanian and enriched with information about the type of the words and the relationships between them. As Romanian lacks an open-source syntactic or dependency parser specially trained on Romanian phrases, this corpus is necessary for obtaining better results for linguistic applications that are in need of dependency parse trees. To achieve this, we have started from two types of well-known parsers, the first trained for French syntactic parsing and the second for Spanish dependency parsing, that have been modified for analyzing phrases written in Romanian. The results we have obtained using these two methods are compared with the ones returned by the single existing dependency parser trained for Romanian on a medium-size corpus, which is available at this moment as a web service.
Authors and Affiliations
Iulia Maria Florea, Traian Rebedea, Costin-Gabriel Chiru
Keywords
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