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Regular Expressions and Automata in Natural Language Analysis

Regular Expressions and Automata in Natural Language Analysis

Regular Expressions and Automata in Natural Language Analysis. CS 4705. Some slides adapted from Hirschberg, Dorr/Monz, Jurafsky. Rule-based vs. Statistical Approaches. Rule-based = linguistic For what problems is rule-based better suited and when is statistics better

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429 views • 30 slides
Regular Expressions and Automata in Natural Language Analysis

Regular Expressions and Automata in Natural Language Analysis

Regular Expressions and Automata in Natural Language Analysis. CS 4705. Some slides adapted from Hirschberg, Dorr/Monz, Jurafsky. Rule-based vs. Statistical Approaches. Rule-based = linguistic For what problems is rule-based better suited and when is statistics better

★ ★ ★ ★ ★

414 views • 30 slides
Regular Expressions and Automata in Natural Language Analysis

Regular Expressions and Automata in Natural Language Analysis

Regular Expressions and Automata in Natural Language Analysis. CS 4705. Some slides adapted from Hirschberg, Dorr/Monz, Jurafsky. Rule-based vs. Statistical Approaches. Rule-based = linguistic For what problems is rule-based better suited and when is statistics better

★ ★ ★ ★ ★

315 views • 30 slides
Regular Expressions and Automata in Natural Language Analysis

Regular Expressions and Automata in Natural Language Analysis

Regular Expressions and Automata in Natural Language Analysis. CS 4705. Statistical vs. Symbolic (Knowledge Rich) Techniques. Some simple problems: How much is Google worth? How much is the Empire State Building worth? How much is Columbia University worth?

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215 views • 21 slides

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