Richard Sproat
Richard William Sproat | |
|---|---|
| Alma mater | University of California, San Diego (B.A., 1981) Massachusetts Institute of Technology (Ph.D., 1985)[1] |
| Scientific career | |
| Fields | Computational linguistics |
| Institutions | Google (2012–present) |
| Thesis | On Deriving the Lexicon (1985) |
| Doctoral advisor | Ken Hale |
Richard Sproat is a computational linguist currently working for Google as a researcher on text normalization and speech recognition.[1]
Linguistics[]
Sproat graduated from Massachusetts Institute of Technology in 1985, under the supervision of Kenneth L. Hale.[2] His PhD thesis is one of the earliest work that derives morphosyntactically complex forms from the module which produces the phonological form that realizes these morpho-syntactic expressions, one of the core ideas in Distributed Morphology.[3]
One of Sproat's main contributions to computational linguistics is in the field of text normalization, where his work with colleagues in 2001, Normalization of non-standard words,[4] was considered a seminal work in formalizing this component of speech synthesis systems. He has also worked on computational morphology[5] and the computational analysis of writing systems.[6]
External links[]
- Personal Homepage
- Richard Sproat publications indexed by Google Scholar
References[]
- ^ a b Sproat, Richard. "Richard Sproat". Retrieved 29 November 2020.
- ^ Sproat, Richard. "On Deriving the Lexicon". MITWPL. Retrieved 29 November 2020.
- ^ Wiltschko, Martina. The Universal Structure of Categories: Towards a Formal Typology. Cambridge. p. 83. ISBN 9781107038516.
- ^ Sproat, Richard; Black, Alan W.; Chen, Stanley; Kumar, Shankar; Ostendorf, Mari; Richards, Christopher (1 July 2001). "Normalization of non-standard words". Computer Speech & Language. 15 (3): 287–333. doi:10.1006/csla.2001.0169.
- ^ Sproat, Richard (1992). Morphology and Computation. MIT Press. ISBN 9780262527026.
- ^ Sproat, Richard (2000). A Computational theory of Writing Systems. Cambridge. ISBN 9780521663403.
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