Laboratory of computational materials science for energy application

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Speech recognition Engineering & Materials Science
Speech analysis Engineering & Materials Science
Recurrent neural networks Engineering & Materials Science
Experiments Engineering & Materials Science
Transcription Engineering & Materials Science
Cameras Engineering & Materials Science
Continuous speech recognition Engineering & Materials Science
Linguistics Engineering & Materials Science

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Research Output 2014 2019

  • 7 Citations
  • 2 h-Index
  • 14 Conference contribution
  • 2 Article
  • 1 Paper

Manual vs automatic bitext extraction

Makazhanov, A., Myrzakhmetov, B. & Assylbekov, Z., Jan 1 2019, LREC 2018 - 11th International Conference on Language Resources and Evaluation. Isahara, H., Maegaard, B., Piperidis, S., Cieri, C., Declerck, T., Hasida, K., Mazo, H., Choukri, K., Goggi, S., Mariani, J., Moreno, A., Calzolari, N., Odijk, J. & Tokunaga, T. (eds.). European Language Resources Association (ELRA), p. 3834-3838 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

coverage
lack
language
World Wide Web
Language

Manual vs Automatic Bitext Extraction

Makazhanov, A., Myrzakhmetov, B. & Assylbekov, Z., 2018, 11th International Conference on Language Resources and Evaluation. Miyazaki, Japan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

An Assessment of Universal Dependency Annotation Guidelines for Turkic Languages

Tyers, F., Washington, J., Çöltekin, Ç. & Makazhanov, A., 2017, Proceedings of the 5th International Conference on Turkic Languages Processing (TurkLang 2017). Kazan, Tatarstan

Research output: Chapter in Book/Report/Conference proceedingConference contribution