Luciane Maimone
Biographic Data
| ID | 5434865 |
|---|---|
| NAME | Luciane Maimone |
| GIVEN NAMES | Luciane |
| FAMILY NAME | Maimone |
| SIGNATURE | MAIMONE L |
| AFFILIATIONS | Missouri State University Springfield Missouri USA |
| ORCID | 0000-0003-0762-8450 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Machine translation and language teaching and learning
Decades before educators were forced to confront the disruption posed by widely accessible generative artificial intelligence (AI) tools such as ChatGPT, language learners, instructors, and researchers began dealing with its game-changing predecessor: machine translation (MT). Researchers began assessing MT systems and proposing language teaching applications for them as soon as universities and schools gained access to them in the mid-1980s (*An…
Looks like google to me
This article reports the results of an empirical study designed to determine the degree to which college instructors of Spanish can distinguish between machine translation (MT) and non‐MT writing samples produced by second language (L2) learners of Spanish in an intermediate‐level writing course. We also investigated relationships between detection accuracy rates, instructor teaching experience, and text type (narrative or argumentative), as well…
Looks like google to me
This article reports the results of an empirical study designed to determine the degree to which college instructors of Spanish can distinguish between machine translation (MT) and non‐MT writing samples produced by second language (L2) learners of Spanish in an intermediate‐level writing course. We also investigated relationships between detection accuracy rates, instructor teaching experience, and text type (narrative or argumentative), as well…
Looks like google to me
This article reports the results of an empirical study designed to determine the degree to which college instructors of Spanish can distinguish between machine translation (MT) and non‐MT writing samples produced by second language (L2) learners of Spanish in an intermediate‐level writing course. We also investigated relationships between detection accuracy rates, instructor teaching experience, and text type (narrative or argumentative), as well…
Machine translation and language teaching and learning
Decades before educators were forced to confront the disruption posed by widely accessible generative artificial intelligence (AI) tools such as ChatGPT, language learners, instructors, and researchers began dealing with its game-changing predecessor: machine translation (MT). Researchers began assessing MT systems and proposing language teaching applications for them as soon as universities and schools gained access to them in the mid-1980s (*An…
Computer Science (2 works) · Linguistics (2 works) · Machine translation (2 works) · Natural language processing (2 works) · Psychology (2 works) · Second Language Acquisition and Learning (2 works) · Argumentative (1 works) · Artificial Intelligence (1 works) · Chemistry (1 works) · Discourse Analysis in Language Studies (1 works)