Learning Rules: From PCFGs to Adaptor Grammars
author:
Mark Johnson,
Brown Laboratory for Linguistic Information Processing, Brown University
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| Slides | |
| 0:00 | Learning Rules with Adaptor Grammars |
| 0:53 | Ideas behind talk |
| 3:33 | Questions this work tries to address |
| 4:28 | Why not study syntax? |
| 6:50 | Outline - From PCFGs to Adaptor Grammars |
| 6:54 | Probabilistic context-free grammars |
| 7:50 | A CFG for stem-suffix morphology |
| 10:07 | A “CFG” with one rule per possible morpheme |
| 12:39 | Nonparametric extensions of PCFGs |
| 15:50 | Adaptor grammars: Informal description |
| 17:14 | Adaptor grammars as generative processes |
| 18:40 | An Adaptor Grammar for stem-suffix morphology |
| 19:13 | Morphology adaptor grammar (0) |
| 19:39 | Morphology adaptor grammar (1a) |
| 20:11 | Morphology adaptor grammar (1b) |
| 20:26 | Morphology adaptor grammar (1c) |
| 20:33 | Morphology adaptor grammar (1d) |
| 20:39 | Morphology adaptor grammar (2a) |
| 20:48 | Morphology adaptor grammar (2b) |
| 21:00 | Morphology adaptor grammar (2c) |
| 21:03 | Morphology adaptor grammar (2d) |
| 21:06 | Morphology adaptor grammar (3) |
| 21:19 | Morphology adaptor grammar (4a) |
| 21:23 | Morphology adaptor grammar (4b) |
| 21:29 | Morphology adaptor grammar (4c) |
| 21:31 | Morphology adaptor grammar (4d) |
| 21:32 | Morphology as a Hierarchical Dirichlet Process |
| 22:45 | Bayesian hierarchy inverts grammatical hierarchy |
| 23:31 | Properties of adaptor grammars |
| 24:18 | Outline - Adaptor grammars for English word segmentation |
| 24:25 | Unigram adaptor grammar for English |
| 25:39 | Unigram word grammar as a Dirichlet Process |
| 25:46 | Unigram model often finds collocations |
| 26:30 | Unigram word segmentation grammar learnt |
| 26:49 | Unigram morphology adaptor grammar |
| 28:02 | Simultaneously learning word segmentation and syllable structure |
| 28:13 | Simultaneous word segmentation and syllable structure |
| 28:27 | Modeling collocations improves segmentation |
| 29:06 | Syllables + Collocations + Word segmentation |
| 29:43 | Syllables + 2-level Collocations + Word segmentation |
| 29:45 | Word segmentation results summary |
| 32:15 | Outline - Bayesian inference for Adaptor Grammars |
| 32:22 | Outline - Conclusion |
| 32:25 | Summary and future work |
| 34:07 | - Questions |
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