Abstract
A method for automatic acquisition of verb subcategorisation information for Estonian is presented. The method focuses on detection of subcategorisation relations between verbs and nominal phrases. Simple comparison of verb-specific argument candidate’s frequency ranking against a global frequency ranking of the candidate is used to decide whether the argument candidate is likely governed by the verb. The method also requires only limited linguistic resources from the input corpora: morphological annotations and clause boundary annotations. The results obtained are evaluated against a manually built valency lexicon.
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Orasmaa, S. (2013). Verb Subcategorisation Acquisition for Estonian Based on Morphological Information. In: Habernal, I., Matoušek, V. (eds) Text, Speech, and Dialogue. TSD 2013. Lecture Notes in Computer Science(), vol 8082. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40585-3_73
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DOI: https://doi.org/10.1007/978-3-642-40585-3_73
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