Project Details

Description

Digital language typology (DLT) is a multi-disciplinary project intending to produce a computer-based platform that will be able to assess the structurally manifested family relationships within any set of languages with appropriate large digital textual and speech material. To this end, we have collected a group of specialists from phonetics, linguistics, and computer science. DLT is part of the Finnish Academy Digital Humanities programme, which includes novel methods and techniques in which digital technologies and state-of-the-art computational science methods are used for collecting, managing, and analysing data in humanities and social sciences research. The principal investigators are Martti Vainio (University of Helsinki, coordinator), Hannu Toivonen (University of Helsinki), and Markku Turunen (University of Tampere).
Short titleDigital Language Typology
AcronymDLT
StatusFinished
Effective start/end date01/01/201631/12/2019

Funding

  • Academy of Finland: €370,814.00

Fields of Science

  • 113 Computer and information sciences
  • 6121 Languages

Research Output

  • 2 Conference contribution
  • 1 Article

Cross-Family Similarity Learning for Cognate Identification in Low-Resource Languages

Soisalon-Soininen, E. & Granroth-Wilding, M., 4 Sep 2019, RANLP 2019 - Natural Language Processing a Deep Learning World: Proceedings . Angelova, G., Mitkov, R., Nikolova, I. & Temnikova, I. (eds.). Shoumen: INCOMA, p. 1121-1130 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

File

Towards Transformational Creation of Novel Songs

Toivanen, J. M., Järvisalo, M., Alm, O., Ventura, D., Vainio, M. & Toivonen, H., 2 Jan 2019, In : Connection Science. 31, 1, p. 4-32 29 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File

Unsupervised Learning of Cross-Lingual Symbol Embeddings Without Parallel Data

Granroth-Wilding, M. & Toivonen, H., 3 Jan 2019, Second Annual Meeting of the Society for Computation in Linguistics (SCiL 2019). The Association for Computational Linguistics, p. 19-28 10 p. 4

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access
File