The corpus, word list, and usability analysis for the corpus of extended reality
| dc.contributor.author | Mangus, Lauren Anne, author | |
| dc.contributor.author | Nekrasova-Beker, Tatiana, advisor | |
| dc.contributor.author | Becker, Anthony, committee member | |
| dc.contributor.author | Ortega, Francisco Raul, committee member | |
| dc.date.accessioned | 2023-06-01T17:27:09Z | |
| dc.date.available | 2023-06-01T17:27:09Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | There are multiple uses for word lists and corpora inside of linguistics-based research and studies; however, their primary function is the evaluation of authentic language for pedagogical application. This study presents both current and novel methods of approaching word list curation, word list evaluation by experts before publishing, and a collaborative analysis of pedagogical applications by focus group participants. The curation of the Corpus of Extended Reality (CoXR), a discipline within Computer Science, and its word list, the CoXR Word List, capture the language structures that are specific to the discipline of Extended Reality (XR). The CoXR Word List additionally includes hyphenated word forms that are specific to the discipline of XR. To test the efficacy of the corpus it was evaluated by graduate students in the discipline of XR to gain insight to whether traditional methods of discipline-specific corpus curation actually generate discipline specific words and whether the generated examples are meaningful. Firstly, the study found that verification of a word list is useful for determining the efficacy of the corpus itself and the word list with its coordinating examples. Secondly, the study found that (1) students from XR and outside of XR (English Language studies) found the CoXR Word List to be meaningful. Thirdly, all participants found the CoXR Word List as a tool they might use in the classroom as a teacher or student. Lastly, participants indicated that if they had access to discipline-specific word lists such as the CoXR Word List they would be incentivized to engage in cross-disciplinary research. | |
| dc.format.medium | born digital | |
| dc.format.medium | masters theses | |
| dc.identifier | Mangus_colostate_0053N_17656.pdf | |
| dc.identifier.uri | https://hdl.handle.net/10217/236582 | |
| dc.language | English | |
| dc.language.iso | eng | |
| dc.publisher | Colorado State University. Libraries | |
| dc.relation.ispartof | 2020- | |
| dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
| dc.title | The corpus, word list, and usability analysis for the corpus of extended reality | |
| dc.type | Text | |
| dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
| thesis.degree.discipline | English | |
| thesis.degree.grantor | Colorado State University | |
| thesis.degree.level | Masters | |
| thesis.degree.name | Master of Arts (M.A.) |
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