Using a Natural Language Processing Tool to Assist the Collection of Samples for the Study of Syntactic-Semantic Properties of Verbs
Abstract
The analysis and description of syntactic-semantic properties of verbs are fundamental to both the knowledge of the grammar of a language and to the automatic processing of natural language, as an encoded form of this description can be exploited by automatic tools. This paper experiments with the use of Unitex, a natural language processing tool, to collect a list of verbs that can be analysed and described by a linguist. This work contributes significantly to linguistics, by decreasing the human manual effort in the search for verbs. A case study is performed to partially automate the collection of verbs in -ecer with adjectival bases in a corpus of 47 million words. The proposed approach is compared with manual collection and with extraction from an NLP dictionary.
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