Morphology-based and sub-word language modeling for Turkish speech recognition
By Hasim Sak, Murat Saraclar, Tunga Güngör. 2010
45 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Natural Language Processing, Speech & Audio
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Jan Niehues
- A. Waibel
- Ajit Kumar Nayak
- Satyananda Champati Rai
- Henning Sperr
- Soumya Priyadarsini Panda
- Graham Neubig
- Felix Stahlberg
In Natural Language Processing
- Jan Niehues
- A. Waibel
- Ajit Kumar Nayak
- Satyananda Champati Rai
- Henning Sperr
- Soumya Priyadarsini Panda
- Graham Neubig
- Felix Stahlberg
In Speech & Audio
- A. Waibel
- Jan Niehues
- Ajit Kumar Nayak
- Satyananda Champati Rai
- Soumya Priyadarsini Panda
- Jinyu Li
- Pawel Swietojanski
- S. Renals
Citations in the corpus
- A survey on speech synthesis techniques in Indian languages (2020, methodology): “Converting the orthographic symbols into appropriate phonological units may be done using a dictionary based [29] or rule-based”
- Letter N-Gram-based Input Encoding for Continuous Space Language Models (2013, background): “Research on morphology-based and subword language models on a Turkish speech recognition task has been done by Sak et al. (2010).”