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Download full textTarat, Sarunya; Siritararatn, Nawarat; Jaroongkhongdach, Woravut – LEARN Journal: Language Education and Acquisition Research Network, 2023
This study uses a diachronic corpus-based analysis to explore the topics presented in LGBTQ-related research articles published between 2001 and 2020, and to examine diachronic changes in these topics over time. The data are from 400 LGBTQ-related research articles which are divided into four time periods (2001-2005, 2006-2010, 2011-2015,…
Descriptors: Diachronic Linguistics, Computational Linguistics, LGBTQ People, Research Reports
Cai, Zhiqiang; Graesser, Arthur C.; Windsor, Leah C.; Cheng, Qinyu; Shaffer, David W.; Hu, Xiangen – International Educational Data Mining Society, 2018
Latent Semantic Analysis (LSA) plays an important role in analyzing text data from education settings. LSA represents meaning of words and sets of words by vectors from a k-dimensional space generated from a selected corpus. While the impact of the value of k has been investigated by many researchers, the impact of the selection of documents and…
Descriptors: Semantics, Discourse Analysis, Computational Linguistics, Intelligent Tutoring Systems
Direct linkAyers, David F. – Community College Review, 2015
Objective: To examine the discursive strategies deployed by community colleges to sustain legitimacy in an evolving and contradictory institutional environment. Method: Using corpus linguistics software, I compared 1,009 mission statements from 2012-2013 with a reference corpus of 427 mission statements from 2004. Results: Keywords analysis,…
Descriptors: Community Colleges, Institutional Mission, Position Papers, Comparative Analysis
Butcher, Philip G.; Jordan, Sally E. – Computers & Education, 2010
The computer marking of short-answer free-text responses of around a sentence in length has been found to be at least as good as that of six human markers. The marking accuracy of three separate computerised systems has been compared, one system (Intelligent Assessment Technologies FreeText Author) is based on computational linguistics whilst two…
Descriptors: Computational Linguistics, Comparative Analysis, Information Retrieval, Feedback (Response)
Peer reviewedCrouch, Carolyn J. – Information Processing and Management, 1988
Describes the two basic approaches to the calculation of term discrimination values for automatic indexing. The results of an experiment that investigated the differences between algorithms of these two approaches in terms of their impact on the discrimination value model are reported and discussed. (13 references) (Author/CLB)
Descriptors: Algorithms, Automatic Indexing, Comparative Analysis, Computational Linguistics
Peer reviewedLochbaum, Karen E.; Streeter, Lynn A. – Information Processing and Management, 1989
Describes experiments that compared a new method for automatically analyzing semantic structures in text by statistical means with the standard vector space model. Findings indicate that combining both methods improved performance over either alone. The effects of other experimental variables on retrieval performance (term weighting, suffix…
Descriptors: Automatic Indexing, Comparative Analysis, Computational Linguistics, Information Retrieval
