|
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: 10.04.2001Inhalt 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. |