Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Computational Linguistics | 3 |
| Models | 3 |
| Transcripts (Written Records) | 3 |
| Interviews | 2 |
| American Indian Languages | 1 |
| Annual Reports | 1 |
| Automation | 1 |
| COVID-19 | 1 |
| Capacity Building | 1 |
| Classification | 1 |
| Cluster Grouping | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 2 |
| Dissertations/Theses -… | 1 |
| Reports - Descriptive | 1 |
| Reports - Research | 1 |
Education Level
| Middle Schools | 1 |
| Secondary Education | 1 |
Audience
Location
| Ecuador | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Alexander Rice – Language Documentation & Conservation, 2021
This paper presents a remote corpus work model that was developed between an outside researcher and community collaborator to continue transcription/translation work at a distance with previously collected material in response to the travel restrictions imposed by the coronavirus pandemic. The paper describes, in detail, the corpus work model,…
Descriptors: Video Technology, Language Maintenance, Documentation, Computational Linguistics
Sherin, Bruce – Journal of the Learning Sciences, 2013
A large body of research in the learning sciences has focused on students' commonsense science knowledge--the everyday knowledge of the natural world that is gained outside of formal instruction. Although researchers studying commonsense science have employed a variety of methods, 1-on-1 clinical interviews have played a unique role. The data…
Descriptors: Informal Education, Computational Linguistics, Transcripts (Written Records), Interviews
Moffitt, Kevin Christopher – ProQuest LLC, 2011
The three objectives of this dissertation were to develop a question type model for predicting linguistic features of responses to interview questions, create a tool for linguistic analysis of documents, and use lexical bundle analysis to identify linguistic differences between fraudulent and non-fraudulent financial reports. First, The Moffitt…
Descriptors: Cues, Verbs, Natural Language Processing, Discriminant Analysis

Peer reviewed
Direct link
