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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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