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Florian Jaeger, Human Language Processing Lab hlp.rochester/

Efficient Communication II Communicatively efficient and activation-based models of incremental production. LSA Summer Institute 2011, Computational Psycholinguistics, Lecture 3. Florian Jaeger, Human Language Processing Lab http://www.hlp.rochester.edu/. Readings.

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Florian Jaeger, Human Language Processing Lab hlp.rochester/

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  1. Efficient Communication II Communicatively efficient and activation-based models of incremental production LSA Summer Institute 2011, Computational Psycholinguistics, Lecture 3 Florian Jaeger, Human Language Processing Lab http://www.hlp.rochester.edu/

  2. Readings • Required: Jaeger, 2010 (20+ pp); Aylett & Turk 2006 (11pp) • Suggested: Genzel & Charniak, 2002; Levy & Jaeger, 2007; Moscoso del Prado Martin, submitted; Qian and Jaeger, 2010, 2011 • Technical reading (optional): Shannon (1948)

  3. Plan • Constant Entropy Rate: Evidence and Critique [Genzel and Charniak, 2002, 2003; Keller, 2004; Moscoso del Prado Martin, 2011; Piantadosi & Gibson, 2008; Qian and Jaeger, 2009, 2010, 2011, submitted] • Linking computational level considerations about efficient communication to mechanisms: • information, probabilities, and activation[Moscoso del Prado Martin et al. 2006] • an activation-based interpretation of constant entropy

  4. Discuss with you lovely neighbor • In the technical reading, you learned about training and test sets and that evaluations of the a model on the training set will overestimate the model’s quality (e.g. by underestimating its perplexity). Does this constitute a problem for the approach taken in work on the Constant Entropy Rate hypothesis [Genzel and Charniak, 2002]?

  5. Discuss with you lovely neighbor • Consider that disfluencies (e.g. filled pauses like uh) more likely to occur before less predictable words [Shriberg and Stolcke, 1996]. Can you think of an argument why might contribute to efficient communication? Try to explain why or why not, using considerations about Shannon information.

  6. Part 1XXX

  7. Thesis idea • Constant entropy as semantic priming

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