Linguistics

UWA Language Science Group 2001 Program

The 2001 program is focussed on establishing the groundwork for local inter-disciplinary interaction. The seminars will, for the most part, by led by local academics from different disciplines. Each seminar will explore potential areas of cross-disciplinary interaction with that particular discipline's approach to the study of human language or approach to a particular topic.


 
Introduction: Talking the same language John Henderson
Linguistics
12:15pm Fri April 6
Social Sciences Rm G207
 
The New Whorfian Framework as a
Structure for Thinking about Inter-
disciplinary Co-operation in the Language Sciences

[abstract]
Penny Lee
Graduate School of Education
1pm Fri May 18
IAS conference room
 
Semantics and Pragmatics: Current Developments and Interdisciplinary Research
[abstract]
Marie-Eve Ritz
Graduate School of Education
12:30pm Fri June 1
IAS conference room
 
Language-Readiness and The Evolving Mirror System
[abstract] [powerpoint presentation (850k)]
Michael Arbib
Computer Science, UWA &
USC Brain Project
1pm Fri June 29
Social Sciences Rm G202
 
Guest presentation:
Evolution and Language Prof. Robin Dunbar
University of Liverpool
1pm Wed August 1
IAS conference room
 
Spoken Language Systems Research and Technology
[abstract][powerpoint presentation (100k)]
Roberto Togneri
Electrical Engineering
12:30pm Wed Oct 24
Linguistics Lab


Abstracts


The New Whorfian Framework as a Structure for Thinking about Interdisciplinary Co-operation in the Language Sciences
 
Penny Lee
Graduate School of Education
 
Following the opening session for this series on interdisciplinary cooperation between the various branches of the language sciences, this seminar will consider the relevance to the issues we face of Whorf's ideas about relationships between language, mind, and experience. The name of Benjamin Lee Whorf (1897-1941) is usually associated with the notion of a 'linguistic relativity principle', the idea that the languages we know play a significant role in the way our thinking is organized and focused. What is less well known is that his thinking about linguistic relativity is just one strand of a complex interweaving of ideas, some explicitly articulated and some more embryonic, which together constitute his intellectual legacy. Although essentially interdependent, the various strands of this 'theory complex' may be extracted for closer scrutiny (Lee 1996, 2000) and also used to create a framework (e.g. Lee 1997) for thinking systematically about linguistic issues and concerns in particular domains of human life. The seminar will introduce the framework, briefly explaining the nature of each strand and suggesting directions for interdisciplinary investigation in various areas of application.
  • Lee, Penny. 1996 The Whorf Theory Complex: A critical reconstruction. Studies in the History of the Language Sciences. John Benjamins: Amsterdam & Philadelphia.
  • _____ 1997 Language in Thinking and Learning: Pedagogy and the new Whorfian framework. Harvard Educational Review, 67, 430-471.
  • _____ 2000 When is Linguistic Relativity Whorf's Linguistic Relativity? In P?tz, Martin and Marjolijn Verspoor (eds) Explorations in Linguistic Relativity. John Benjamins: Amsterdam & Philadelphia. 45-68.
 

Semantics and Pragmatics: Current Developments and Interdisciplinary Research
 
Marie-Eve Ritz
Graduate School of Education
 
In this seminar, I will present some current developments in the areas of semantics and pragmatics and discuss how interdisciplinary research, mainly between semantics/pragmatics and logic, computer science/automatic translation and psychology has given the impetus for new directions and provided fertile ground for the generation of new ideas.

Semantics arose out of several disciplines itself, namely philosophy, logic and linguistics, so it is not surprising to find that interdisciplinary connections are still strong and have expanded in recent years.

The talk will start with a discussion of methodological issues before addressing interdisciplinary connections, and I will use examples from my own research on tense and aspect to illustrate the various points covered.

 

Language-Readiness and The Evolving Mirror System
 
Michael Arbib
Computer Science, UWA &
Brain Project, University of Southern California
 
I distinguish "language-readiness" from "language", claiming that biological evolution yielded a language-ready brain, whereas cultural evolution erected the diversity of human languages upon this neural foundation. I will briefly introduce the Mirror System Hypothesis of Rizzolatti and Arbib, namely that human Broca's area (the frontal speech area) contains a mirror system for grasping which is homologous to the F5 mirror system of monkey, and that this provides the evolutionary basis for language parity, the approximate congruence between the meaning of an utterance for speaker and hearer. The hypothesis is refined by the analysis of the role of imitation in the evolution of language readiness. The resulting theory explains why Broca's area in humans is not homologous to the frontal vocalization area of monkeys, and also explains why deaf children acquire sign language as readily as hearing children acquire speech.

Click here for the powerpoint presentation for this talk (850k). Comments are solicited: arbib@pollux.usc.edu

 

Basic Principles and some Advanced Ideas in Spoken Language Systems Research and Technology
 
Roberto Togneri
E&E Engineering, UWA
 
Spoken Language Systems (SLS) technology empowers humans to interact with modern information technology, from personal computers to ATMs, from telephones to televisions, in the same way humans interact with each other: by speech. Spoken Language Systems research brings together a diverse range of disciplines including engineering signal processing and modelling, computer science artificial intelligence and computational linguistics, and our understanding of human speech production, audition and cognition from of phonetics, physiology, linguistics and psychology.

This presentation will present a brief outline of automatic speech recognition (ASR) systems. ASR involves three main stages for successful implementation. The first stage is the robust extraction of features from the audio signal, using signal processing analysis and knowledge of human audition, phonetics, and perception. The second stage is acoustic modelling, using advanced statistical signal processing and adaptive systems theory, to allow recognition of speech in the presence of environmental changes, speaker changes, and speech co-articulation and spontaneity effects. The third stage is language modelling and understanding, using computational linguistics and artificial intelligence, to constrain the recognition by grammatical and linguistic considerations and extract the meaning, initiate the action and produce the required response.

Although state-of-the-art speech recognition systems are now on the market and impressive recognition rates of 98% and above are possible, most of these systems can only operate successfully under limited conditions. The need for improved robustness to environment changes, advanced acoustic modelling to cope with spontaneity, and more sophisticated language process is apparent. This presentation will introduce the Hidden Dynamic Model (HDM), one of the advanced acoustic models currently being investigated in our research group. The basic tenets of the model, its strengths and its weaknesses, will be outlined with the main emphasis on the acoustic phonetic and speech production fundamentals of the paradigm (rather than the mathematics!).