Computational Psycholinguistics

Dr. Matthew W. Crocker
Professor of Psycholinguistics
Department of Computational Linguistics & Phonetics
Universität des Saarlandes, Germany

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Computational Psycholinguistics

Vorlesung mit Übung
Zweiter Studienabschnitt
Leitung: Matt Crocker

Di 11-13, Do 11-13, Geb. 17.2, Konferenzraum (2.11)
Lectures and readings will be mostly in English

Beginn: 10.04.2001

Inhalt

This course will discuss current computational models of human sentence processing. We will consider both how computational linguistics can inform the development of psycholinguistic theories, and also how computational models can account for and explain (experimentally) observed human language processing behaviour. The course will begin with an introduction to psycholinguistic research, summarising both the key observations about human language understanding, and also presenting central theoretical debates including issues such as modularity, incrementality, and the psychological status of linguistic principles and representations. We will then consider a number of computational models, and consider how they shed light on these issues. The models covered exploit symbolic, probabilistic connectionist, and also 'hybrid' computational mechanisms.

Woche

Thema

1

Introduction: modularity, competence-performance, incrementality, ambiguity resolution and garden-path phenomena.
Lecture 1
Altmann Article

2

Parsing and psychological reality: parallel-serial, incrementality, memory load, and disambiguation.
Lecture 2
Tut 1: Christoph

3

Parsing Algorithms: Implementing top-down, shift-reduce, and eft-corner models.
Lecture 3
Shift-Reduce, LC Standard, LC Eager
Tut 2: Christoph (DLT 1)

4

Principles of Parsing: The Garden Path model, grammar based accounts of parsing.
Lecture 4

5

Memory and Reanalysis: The DLT model, computational and memory based accounts of reanalysis.
Tut 3: Christoph (DLT 2)
Tut 4: Christoph

6

Computational Models of Reanalysis: The Monotonicity Model.
Lecture 5
Sturt and Crocker, 1996

7

Probabilistic Modelling: Statistical mechanisms and lexical category disambiguation.
Lecture 6

8

Probabilistic Modelling: Syntactic processing (Jurafsky; Crocker & Brants).
Lecture 7
Jurafsky slides
Crocker and Brants, 2000
Tut 5: Christoph

9

Probabistic Parsing: rational analysis and the Informativity model.
Lecture 8
Tut 6: Christoph
Pickering et al. Paper

10

Lecture cancelled.

11

Interactive Models: Overview, the interactive-activation model, and the competition-integration model.
Lecture 9
McRae Paper
Tut 7: Christoph
Tanenhaus Model Spreadsheet (Unix Gzip)
Tanenhaus Model Spreadsheet (PC Zip)

12

Interactive and hybrid models.
Lecture 10
Gibson Constraints Overview
See also, Stevenson paper.

13

Klausur: Tuesday, 3.07.2001 at 11Uhr

Übung

Übungsmodus wird in der ersten Sitzung bekanntgegeben.

 

Additional Readings

Matthew Crocker (1999). Mechanisms for Sentence Processing. In: Garrod and Pickering (eds)"Language Processing". Psychology Press, UK.

 

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