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Extraction of Terms Related to Named Rivers

Department of Translation and Interpreting, University of Granada, 18002 Granada, Spain
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Languages 2019, 4(3), 46; https://doi.org/10.3390/languages4030046
Received: 16 May 2019 / Revised: 12 June 2019 / Accepted: 15 June 2019 / Published: 27 June 2019
(This article belongs to the Special Issue Formal and Methodological Approaches to Applied Linguistics)
EcoLexicon is a terminological knowledge base on environmental science, whose design permits the geographic contextualization of data. For the geographic contextualization of landform concepts, this paper presents a semi-automatic method for extracting terms associated with named rivers (e.g., Mississippi River). Terms were extracted from a specialized corpus, where named rivers were automatically identified. Statistical procedures were applied for selecting both terms and rivers in distributional semantic models to construct the conceptual structures underlying the usage of named rivers. The rivers sharing associated terms were also clustered and represented in the same conceptual network. The results showed that the method successfully described the semantic frames of named rivers with explanatory adequacy, according to the premises of Frame-Based Terminology. View Full-Text
Keywords: named river; conceptual information extraction; geographic contextualization; text mining; Frame-Based Terminology named river; conceptual information extraction; geographic contextualization; text mining; Frame-Based Terminology
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Rojas-Garcia, J.; Faber, P. Extraction of Terms Related to Named Rivers. Languages 2019, 4, 46.

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