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Turkish-speaking children use case predictively
Date
2013-09-02
Author
Özge, Duygu
Snedeker, Jesse
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URI
https://hdl.handle.net/11511/71289
Conference Name
Conference on the Architecture and Mechanisms of Language Processing(AMLaP) (2013)
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Unverified, Conference / Seminar
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Speech recognition in Turkish Language is a challenging problem in several perspectives. Most of the challenges are related to the morphological structure of the language. Since Turkish is an agglutinative language, it is possible to generate many words from a single stem by using suffixes. This characteristic of the language increases the out-of-vocabulary (OOV) words, which degrade the performance of a speech recognizer dramatically. Also, Turkish language allows words to be ordered in a free manner, whic...
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D. Özge and J. Snedeker, “Turkish-speaking children use case predictively,” presented at the Conference on the Architecture and Mechanisms of Language Processing(AMLaP) (2013), Marsilya, Fransa, 2013, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/71289.