Using Statistical Search to Discover Semantic Relations of Political Lexica – Evidences from Bulgarian-Slovak EUROPARL 7 Corpus

Stoykova, Velislava

doi:10.1007/978-3-319-32859-1_28

Search citation statements

Order By: Relevance

Paper Sections

Select...

Abstractearch Results1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2017

2023

Publication Types

Select...

Article2

Book2

Relationship

Self Cite1

Independent3

Authors

Journals

Cited by 4 publications

(1 citation statement)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, for our analysis we shall use only that presented in Section 3. Thus, we apply MI − score which was already used in [11] for parallel bilingual collocations generation. Fig.…”

Section: Abstractearch Resultsmentioning

confidence: 99%

Extracting Academic Subjects Semantic Relations Using Collocations

Stoykova¹

2017

EAI Endorsed Transactions on Energy Web

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…However, for our analysis we shall use only that presented in Section 3. Thus, we apply MI − score which was already used in [11] for parallel bilingual collocations generation. Fig.…”

Section: Abstractearch Resultsmentioning

confidence: 99%