Matches in SemOpenAlex for { <https://semopenalex.org/work/W4236775249> ?p ?o ?g. }
Showing items 1 to 59 of
59
with 100 items per page.
- W4236775249 endingPage "5868" @default.
- W4236775249 startingPage "5862" @default.
- W4236775249 abstract "The academic discourse of a specialised language is characterised by specialised and technical vocabulary, and lexicogrammar. Studies on language description suggest the need to explore and determine the specific characteristics of the academic discourse of each specialised language, to serve the language needs of the learners. This study demonstrates an exploration of this discipline specificity by looking at the nouns used in a specialised language - an Engineering English. It attempts to integrate a multivariate technique, i.e. the Correspondence Analysis (CA), as a tool to extract significant nouns in a specialised language for any further language use scrutiny. CA allows visual representations of the word interrelationships across different genres in a specialised language. To exemplify this, an Engineering English Corpus (E2C) was created. E2C is composed of two sub-corpora (genres): Engineering reference books (RBC) and online journals articles (EJC). The British National Corpus (BNC) was used as the reference corpus. 30 key-key-nouns were identified from the E2C, and the frequency lists of the words were retrieved from all the corpora to run the CA. The CA maps of the nouns display how these corpora are different from each other, as well as, which words characterise not only E2C from a general corpus (BNC), but also the different genres in E2C. Thus, CA proves to be a potential tool to display words which characterise not only a specialised corpus from a general corpus, but also the different genres in that specialised corpus. This study promises more informed descriptions of a specialised language can be made with the identification of specific and significant vocabulary for any academic discourse investigations." @default.
- W4236775249 created "2022-05-12" @default.
- W4236775249 date "2019-10-10" @default.
- W4236775249 modified "2023-09-26" @default.
- W4236775249 title "Extracting Significant Words in Engineering Texts for Specialised Language Descriptions" @default.
- W4236775249 doi "https://doi.org/10.35940/ijitee.l2517.1081219" @default.
- W4236775249 hasPublicationYear "2019" @default.
- W4236775249 type Work @default.
- W4236775249 citedByCount "0" @default.
- W4236775249 crossrefType "journal-article" @default.
- W4236775249 hasBestOaLocation W42367752491 @default.
- W4236775249 hasConcept C121934690 @default.
- W4236775249 hasConcept C138885662 @default.
- W4236775249 hasConcept C154945302 @default.
- W4236775249 hasConcept C204321447 @default.
- W4236775249 hasConcept C2474386 @default.
- W4236775249 hasConcept C26517878 @default.
- W4236775249 hasConcept C27206212 @default.
- W4236775249 hasConcept C2776050585 @default.
- W4236775249 hasConcept C2777601683 @default.
- W4236775249 hasConcept C2987496018 @default.
- W4236775249 hasConcept C38652104 @default.
- W4236775249 hasConcept C41008148 @default.
- W4236775249 hasConcept C41895202 @default.
- W4236775249 hasConcept C532629269 @default.
- W4236775249 hasConceptScore W4236775249C121934690 @default.
- W4236775249 hasConceptScore W4236775249C138885662 @default.
- W4236775249 hasConceptScore W4236775249C154945302 @default.
- W4236775249 hasConceptScore W4236775249C204321447 @default.
- W4236775249 hasConceptScore W4236775249C2474386 @default.
- W4236775249 hasConceptScore W4236775249C26517878 @default.
- W4236775249 hasConceptScore W4236775249C27206212 @default.
- W4236775249 hasConceptScore W4236775249C2776050585 @default.
- W4236775249 hasConceptScore W4236775249C2777601683 @default.
- W4236775249 hasConceptScore W4236775249C2987496018 @default.
- W4236775249 hasConceptScore W4236775249C38652104 @default.
- W4236775249 hasConceptScore W4236775249C41008148 @default.
- W4236775249 hasConceptScore W4236775249C41895202 @default.
- W4236775249 hasConceptScore W4236775249C532629269 @default.
- W4236775249 hasIssue "12" @default.
- W4236775249 hasLocation W42367752491 @default.
- W4236775249 hasOpenAccess W4236775249 @default.
- W4236775249 hasPrimaryLocation W42367752491 @default.
- W4236775249 hasRelatedWork W11095331 @default.
- W4236775249 hasRelatedWork W15757640 @default.
- W4236775249 hasRelatedWork W16233054 @default.
- W4236775249 hasRelatedWork W1965129 @default.
- W4236775249 hasRelatedWork W2122633 @default.
- W4236775249 hasRelatedWork W3121587 @default.
- W4236775249 hasRelatedWork W3766741 @default.
- W4236775249 hasRelatedWork W5836281 @default.
- W4236775249 hasRelatedWork W697781 @default.
- W4236775249 hasRelatedWork W750349 @default.
- W4236775249 hasVolume "8" @default.
- W4236775249 isParatext "false" @default.
- W4236775249 isRetracted "false" @default.
- W4236775249 workType "article" @default.