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Syntactic Priming over Clusters of Noun Phrases
| Content Provider | Semantic Scholar |
|---|---|
| Author | Frank, Stella |
| Copyright Year | 2007 |
| Abstract | This thesis introduces the concept of syntactic cross-priming: priming between nonidentical syntactic rules, analogous to lexical association. I also present the hypothesis that cross-priming is related to similarity, to the effect that pairs more similar rules will have higher cross-priming strengths. I introduce a variant of adaptation, crossadaptation as a measure for cross-priming in a corpus of written text, and show that high cross-adaptation correlates with similarity metrics. In addition, I present two attempts at clustering rules into clusters of high similarity and cross-priming. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.inf.ed.ac.uk/publications/thesis/online/IM070521.pdf |
| Alternate Webpage(s) | http://www.informatics.ed.ac.uk/publications/thesis/online/IM070521.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
