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Guest Lectures: Outline • I plan to teach 3 topics on Algorithms in NLP/MT • Dynamic Programming: An Advanced Survey • Semiring and Hypergraph Frameworks • Viterbi and Dijkstra/Knuth Algorithms • k-best Algorithms • k-best parsing and MT decoding • other k-best problems and algorithms • Perceptron-like Algorithms Liang Huang 2 Dynamic Programming
Dynamic Programming Liang Huang 3 Dynamic Programming
Page 1: Dynamic Programming Algorithms in S
Page 5 and 6: Dynamic Programming • Dynamic Pro
Page 7 and 8: Two Dimensional Survey traversing o
Page 9 and 10: Motivations for Semirings • in a
Page 11 and 12: Definitions A monoid is a triple (A
Page 13 and 14: Definitions A monoid is a triple (A
Page 15 and 16: Examples Semiring Set ⊕ ⊗ 0 1 i
Page 17 and 18: Ordering • idempotent 9 A semirin
Page 19 and 20: Ordering • idempotent A semiring
Page 21 and 22: Monotonicity • monotonicity 10 Li
Page 23 and 24: • monotonicity Monotonicity Let K
Page 29 and 30: Two Dimensional Survey traversing o
Page 31 and 32: Viterbi Algorithm for DAGs 1. topol
Page 33 and 34: Examples Liang Huang 15 Dynamic Pro
Page 35 and 36: Examples • [Number of Paths in a
Page 41 and 42: Example: Word Alignment Liang Huang
Page 43 and 44: Dijkstra Algorithm • Dijkstra doe
Page 51 and 52: Dijkstra Algorithm • keep a cut (
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Viterbi vs. Dijkstra • structural
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What if both work? monotonic optimi
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Two Dimensional Survey traversing o
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Background: CFG and Parsing Liang H
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Hypergraphs and Deduction tails : a
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Hypergraphs and Deduction tails : a
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Weight Functions and Semirings d(u)
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Viterbi Algorithm for DAGs 1. topol
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Example: CKY Parsing • parsing wi
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Forward Variant for DAHs 1. topolog
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Example: Treebank Parsers • State
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Dijkstra Algorithm • keep a cut (
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Knuth (1977) Algorithm • keep a c
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Knuth (1977) Algorithm • keep a c
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Example: A* Parsing • Use A* sear
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Same Picture Again monotonic optimi
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Conclusion • surveyed two general
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