Probabilistic linguistics
| Authors | |
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| Publication date | 2010 |
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| Book title | The Oxford handbook of linguistics analysis |
| ISBN |
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| Series | Oxford handbooks in linguistics |
| Pages (from-to) | 697-732 |
| Publisher | New York: Oxford University Press |
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| 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? |
| Document type | Chapter |
| Language | English |
| Published at |
https://doi.org/10.1093/oxfordhb/9780199544004.013.0025
(Final published version)
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