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1
Analysis of an Extracted Discipline-Specific Computer Science Vocabulary List
Adya Dutt
;
Dr. Carrie Demmans Epp
. - 2021
Abstract:
A strong vocabulary allows for more understanding. Vocabulary can be categorized into 3 tiers. Tier 1 contains commonplace and basic vocabulary. Tier 2 words are used by mature speakers across a variety of subject matters. Tier 3 contains low-frequency words that are used in specific disciplines. To gain conceptual knowledge in academic domains, a strong foundation of Tier 3 vocabulary is essential. Many disciplines do not have a vocabulary list in place, making the learning process more difficult. Computer science is one such discipline, which is why this project aims to create a method for automatically creating a computer science vocabulary list. Starting with a premade computer-science corpus, a computer-science vocabulary list is extracted using computational linguistics techniques. This includes removing unrelated words from the list by extracting text from a compilation of non-computer science resources and using the extracted text to remove any similar words from the original vocabulary list. The resulting list could help enhance student learning in computer science and this process could be duplicated for creating another discipline-specific vocabulary list.
Keyword:
computational linguistics
;
Computing Science
;
corpus
;
SRP
;
STEM
;
vocabulary
;
WISEST
URL:
https://doi.org/10.7939/r3-2va4-kv36
https://era.library.ualberta.ca/items/308a50c4-06b2-40e0-85ff-d39ba5474a86
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