Similarity and differences by finite automata
author:
Tamás Gaál,
XEROX Research Centre Europe, Xerox
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| Slides | |
| 0:00 | Similarity and differences by finite automata in HMMs, kernels, morphological analysers, compilers and image compressors |
| 2:34 | Language, regular expression, automaton |
| 6:59 | Chomsky hierarchy |
| 13:16 | Formal languages in practice |
| 19:31 | Finite state notions |
| 21:54 | Some FS application areas... |
| 25:29 | ...and applications (cont.) |
| 26:35 | Einstein’s puzzle |
| 53:46 | Einstein’s puzzle (cont.) |
| 57:11 | Weighted finite-state automata - 1 |
| 57:30 | Weighted finite-state automata - 2 |
| 57:48 | Finite-state transducer (FST) |
| 58:33 | Lexical FST |
| 62:19 | Finite-state transducers |
| 62:58 | Weighted transducer (WFST) |
| 63:02 | Weighted finite state transducers (WFST) |
| 63:12 | What are weights? |
| 64:31 | Semiring: Definition |
| 65:19 | Semiring: Definition (cont.) |
| 65:58 | Semiring: Examples |
| 67:05 | Semiring: Operations on weights |
| 67:36 | Weights and semiring (example 1) |
| 69:24 | Weights and semiring (example 2) |
| 71:00 | Lexical WFST (1) |
| 71:03 | Lexical WFST (2) |
| 71:18 | Weighted-finite state compiler |
| 72:03 | WMTA definitions and notations |
| 74:12 | Basic operations |
| 75:50 | Auto-intersection (definition) |
| 78:49 | Auto-intersection (if non-regular) |
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