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The paper presents approach to analyze semantic content of academic subjects and its internal relations using statistically-based techniques for collocation extraction from large electronic educational text corpus. It offers a survey and analysis of some related corpus-based approaches to extract conceptual relations used for educational purpose and presents a technique for semantic search of collocations. The results of extended keyword search from British Academic Spoken English corpus using Sketch Engine searching software are presented. They are analysed with respect to types of generated keyword’s collocations and semantic relations which they assign. Received on 24 October 2016; accepted on 10 September 2017; published on 04 October 2017

Extracting Academic Subjects Semantic Relations Using Collocations