Translation Alignment for Historical Language Learning
A Case Study
Bibliographic Data
| ID | 21835704 |
|---|---|
| Authors | Chiara Palladino (0000-0002-1811-5602), Maryam Foradi (0000-0002-2177-780X), Tariq Yousef (0000-0001-6136-3970) |
| Year | 2021 |
| Volume | 15 |
| Issue | 3 |
| Publication date | 2021-10-15 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Digital humanities quarterly (JOURNAL) |
| Journal identifiers | ISSN: 1938-4122 • E-ISSN: 1938-4122 |
| Publisher | The Association for Computers and the Humanities (PUBLISHER) |
| DOI | 10.63744/mb5re4p99c6b |
| OpenAlex | W7139965216 |
| Language | EN |
This paper proposes text alignment in digital environments as a way to empower language learning. It presents the principles and goals of text alignment in Natural Language Processing, and introduces Ugarit, a web-based translation alignment editor for the collection of aligned language pairs. Then, it reports observations on the application of translation alignment in historical language courses at Tufts and Furman University between 2017 and 2019
Computer-assisted translation · Language industry · Language translation · Machine translation · Natural language · Universal Networking Language · Natural Language Processing Techniques · Second Language Acquisition and Learning · Text Readability and Simplification
| Citation velocity | historical |
|---|---|
| Highly cited | No |