| Authors |
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| Publication date |
2010
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| Host editors |
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| Book title |
The Oxford handbook of linguistics analysis
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| ISBN |
|
| Series |
Oxford handbooks in linguistics
|
| Pages (from-to) |
697-732
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| Publisher |
New York: Oxford University Press
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| Organisations |
-
Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
|
| Abstract |
Probabilistic linguistics takes all linguistic evidence as positive evidence and lets statistics decide. It allows for accurate modelling of gradient phenomena in production and perception, and suggests that rule-like behaviour is no more than a side effect of maximizing probability. This chapter addressing the following issues: How far can probabilistic linguistics be stretched? What can data-oriented parsing (DOP) explain? How can probabilistic linguistics deal with language acquisition? What can Unsupervised DOP learn?
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| Document type |
Chapter
|
| Language |
English
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| Published at |
https://doi.org/10.1093/oxfordhb/9780199544004.013.0025
|
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