Sprinter: Language Technologies for Interactive and Multimedia Language Learning
Renlong Ai, Marcela Charfuelan, Walter Kasper, Tina Klüwer, Hans Uszkoreit, Feiyu Xu, Sandra Gasber, Philip Gienandt
Abstract
Modern language learning courses are no longer exclusively based on books or face-to-face lectures. More and more lessons make use of multimedia and personalized learning methods. Many of these are based on e-learning solutions. Learning via the Internet provides 7/24 services that require sizeable human resources. Therefore we witness a growing economic pressure to employ computer-assisted methods for improving language learning in quality, efficiency and scalability. In this paper, we will address three applications of language technologies for language learning: 1) Methods and strategies for pronunciation training in second language learning, e.g., multimodal feedback via visualization of sound features, speech verification and prosody transplantation; 2) Dialogue-based language learning games; 3) Application of parsing and generation technologies to the automatic generation of paraphrases for the semi-automatic production of learning material.- Anthology ID:
- L14-1357
- Volume:
- Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
- Month:
- May
- Year:
- 2014
- Address:
- Reykjavik, Iceland
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 2733–2738
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/416_Paper.pdf
- DOI:
- Cite (ACL):
- Renlong Ai, Marcela Charfuelan, Walter Kasper, Tina Klüwer, Hans Uszkoreit, Feiyu Xu, Sandra Gasber, and Philip Gienandt. 2014. Sprinter: Language Technologies for Interactive and Multimedia Language Learning. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 2733–2738, Reykjavik, Iceland. European Language Resources Association (ELRA).
- Cite (Informal):
- Sprinter: Language Technologies for Interactive and Multimedia Language Learning (Ai et al., LREC 2014)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/416_Paper.pdf