LINGUIST List 5.1099

Sat 08 Oct 1994

Calls: Anthropology of consciousness, SEALS V, Machine learning

Editor for this issue: <>


  1. Dan Alford, Call for Papers: Society for the Anthropology of Consciousness
  2. , SEALS V Conference Call for Papers
  3. , Machine Learning of Natural Language and Speech

Message 1: Call for Papers: Society for the Anthropology of Consciousness

Date: Wed, 5 Oct 1994 11:02:16 -Call for Papers: Society for the Anthropology of Consciousness
From: Dan Alford <>
Subject: Call for Papers: Society for the Anthropology of Consciousness

 C A L L F O R P A P E R S :

For the small but growing percentage of linguists who like to study, research,
and discuss intersections of language and consciousness in human rather than
mechanical terms, and never dreamed you could do such a thing in an
academically sanctioned and emotionally safe conference, listen up.

Nearly 15 years ago I co-founded a conference and publication group that is
now (four name changes later) known as The Society for the Anthropology of
Consciousness (SAC), an official member-unit of the American Anthropological
Association. My teaching colleague Matthew Bronson and I have held open the
continuing linguistics slot for all this time, hoping that maybe a few other
linguists would gradually hear about it and join in. It's really only now,
with LINGUIST, that word can finally get out to people who are looking for
just such a group -- though it's certainly not to all linguists' taste.

The next Annual Spring Meeting will be held *March 29 - April 2, 1995*
on the U.C. Berkeley campus, Men's Faculty Club (yes, women are 'allowed'!).
Weekend and single-day walk in registrations are encouraged for those who
can't attend the full conference. Special evening experiential events include
"The Healing Drum" with George Marsh and "The Samurai Game" with George
Leonard. Shamanic researcher Michael Harner is the keynote Banquet speaker.

The DEADLINE for submission of abstract packets is *January 1, 1995*.

A partial list of fairly common subjects includes: States of Consciousness.
Linguistic, Philosophical and Symbolic Studies. Indigenous Healing Practices.
Ethnography of Shamanic, Spiritual and Magical Training. The Teaching of
Consciousness Studies. Anomaly and Paradigm Shifts.

For a complete packet of call for papers, SAC informational flyer, membership
and conference fees, abstract form and panel form, please email me at: (that's s-one)

 -- Moonhawk (%->)
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Message 2: SEALS V Conference Call for Papers

Date: Fri, 07 Oct 1994 12:09:34 SEALS V Conference Call for Papers
Subject: SEALS V Conference Call for Papers

 May 19-21, 1995

The Southeast Asian Linguistics Society is pleased to announce its Fifth
Annual Meeting to be held May 19-21, 1995 at the University of Arizona
in Tucson.

Invited Speakers include:
 Diana Archangeli, University of Arizona
 Scott DeLancey, University of Oregon
 J. Joseph Errington, Yale University
 Peansiri Vongvipanond, Chulalongkorn University, Bangkok

The conference will feature papers from the languages of Southeast Asia
(Austroasiatic, Austronesian, Miao-Yao, Tibeto-Burman and Thai-Kadai).
Topics will include descriptive, theoretical, or historical linguistics,
linguistic anthropology (ethnolinguistics, language attitudes and
ideology, discourse and conversational analysis, language and gender,
language and politics), language planning, literacy and bilingual education.

Abstracts are invited for the conference. Please send five copies of an
anonymous abstract by January 15th, 1995 with a separate 3 X 5 card
identifying: (1) the author, with his/her affiliation, (2)address where
notification of acceptance or rejection will be mailed (in mid February),
(3) a day-time phone number, (4) an E-mail adress, if available. The
abstract should be no more than one page long (an additional page with
data and references may be submitted). Please send these to:
SEALS, Department of Linguistics, University of Arizona, Tucson, Arizona
85721, U.S.A.

Questions should be adressed to the local organizers through E-mail or
phone: Shobhana L. Chelliah, (602) 628-1287; E-mail shobsccit.arizona.
edu and Willem J. de Reuse, (602) 621-6308; E-mail wdereuseccit.arizona.

Papers presented at the conference will be published in the Society's
Proceedings. Registration fees: before April 1st, 1995: $35 for
students, $50 for non-students; after April 1st, 1995: $40 for students;
$55 for non-students.

Fliers with the above information, hotel information, and a registration
form will be mailed out within a week. If you are not on our mailing
list, let the local organizers know, and they will send you a copy.
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Message 3: Machine Learning of Natural Language and Speech

Date: Thu, 6 Oct 1994 19:52:04 +Machine Learning of Natural Language and Speech
From: <>
Subject: Machine Learning of Natural Language and Speech


 Workshop on


 Organized under the auspices of the
 European networks of Language
 and Speech (ELSnet) and Machine Learning (MLnet)
 The Institute for Language Technology and AI (ITK),
 Tilburg University
 The Institute for Logic, Language and Computation (ILLC),
 University of Amsterdam

 Sponsored by the European Commission through MLnet and ELSnet

 December 2-3, 1994

Programme Committee:

Walter Daelemans (ITK, Tilburg University) Mark Ellison (CCS, University of
Edinburg) Erik-Jan van der Linden (ILLC, University of Amsterdam)

Local Organization:

Marco de Vries (ILLC, University of Amsterdam)

Aims of the Workshop:

(a) Raise awareness of the opportunities for applying Machine Learning
(ML) techniques in Language and Speech (L&S) research.
(b) Demonstrate with selected papers that ML of L&S is a viable area
of research,
(c) Identify possible funding sources for joint ML and L&S research.

Our main aim in organizing this workshop and bringing the two research
communities together, is to contribute to an arena for this work in
Europe. The domain seems to be burgeoning in the USA.

This workshop, while directed specifically to members at sites of the
MLnet and Elsnet networks of excellence, is also open to attendance by
other interested researchers in Machine Learning or Language and
Speech Technology.

MLnet and Elsnet have set aside a fixed sum to support node members
who wish to attend. There are only limited funds available. A maximum
number of 35 participants is aimed at.

If you are interested in participating to this workshop, please send a
brief (1-page) statement of interest to:

For MLnet members:

Derek Sleeman (ELSnet/MLnet WS)
Computing Science Department
The University
Fax: +44 (0)1224 273422

For Elsnet members and other participants:

Marco de Vries
Plantage Muidergracht 24
NL-1018 TV Amsterdam
The Netherlands
+31 20 525 6051 (tel)
+31 20 525 5101 (fax)


The Language and Speech technology Perspective:

Current knowledge-based approaches to Language and Speech Technology
use large amounts of hand-crafted knowledge to solve ambiguity
problems in the analysis of text and speech, and in general to provide
the necessary linguistic competence to systems. Because handcrafting
of these enormously complex knowledge sources is extremely difficult
and expensive, and completeness inherently impossible, the field is
confronted with a serious knowledge acquisition bottleneck. At
present, most knowledge sources have to be rebuilt from scratch for
each new application, domain, theoretical framework or language.

Techniques from Machine Learning and Statistical Pattern Recognition
can alleviate the knowledge acquisition bottleneck, and can also help
in discovering new theories and models. Research in speech processing
has a long history of interest in learning algorithms, especially by
using simple statistical models (e.g. HMMs) and connectionist learning
algorithms. Symbolic learning algorithms have not yet been tested
extensively, however, and may add to the toolbox of speech recognition
and synthesis.

The combination of Machine Learning and Language Technology leads to a
number of interesting research topics with potentially useful

1. Which ML approaches are useful for which type of linguistic
knowledge acquisition? E.g. Inductive Logic Programming for Logic
Grammars, Explanation-Based Learning for Grammar Adaptation, etc.

2. How can/should the learning algorithms be enriched with linguistic
domain bias?

3. How can supervised and unsupervised learning be combined to solve
bootstrapping problems and implicit learning problems?

4. How can the results of learning be made accessible to linguistic
engineers? Learning may result in distributed representations,
prototypes, exemplars, etc. which can be translated to rules.

The Machine Learning Perspective:

We see the following as important arguments for ML researchers to
consider working on Natural Language and Speech problems:

 - Learning from text has always been one of the long-term goals of ML
 research. While the present focus of attention (induction of lexical
 and grammatical knowledge) is more modest in its scope, it is a
 necessary step towards achieving this goal.

 - The language processing problems tackled show a wide range of
 complexity: from learning phonological regularities (easier) to
 learning semantic structures (hard), and are typical for a larger
 class of problems (in which generalizations, subregularities and
 exceptions interact in complex ways). Selected language processing
 problems may be a useful addition to the existing benchmarks for
 comparing learning algorithms.

 - Humans process language, and learn to do so. A great deal of work
 has been done in studying natural language acquisition, which provides
 an almost unparalleled opportunity for those using ML for cognitive
 modelling to compare the learning behaviour of machines and people.

 - Symbolic and non-symbolic data is largely accessible (i.e.
 understandable by the layman), compared to e.g. electrocardiograph
 traces. Words can be read, or speech synthesised, to see if structures
 learnt are at least making the right predictions. Of course there is
 specialised knowledge involved on the theoretical side.


Friday 2/12

13.00 - 13.15 Opening by organizers
13.15 - 14.15 State of the Art in ML (Maarten Van Someren)
14.15 - 15.15 State of the Art in NL&S (TBA)
15.15 - 15.45 tea/coffee
15.45 - 16.15 Minimal Description Length Applications (Mark Ellison)
16.15 - 16.45 Explanation-Based Learning of Grammar (Christer
16.45 - 17.15 Unsupervised Learning of Language Knowledge (David
17.15 - 17.45 Discussion
17.45 - ..... drinks, dinner

Saturday 3/12

10.00 - 10.30 Case-Based Language Learning (Walter Daelemans)
10.30 - 11.00 Generalization by analogy in language (Stefano Federici,
 Vito Pirrelli)
11.00 - 11.30 Inductive Logic Programming and DCGs (Luc De Raedt et
11.30 - 12.00 Concept Learning (Roberto Basili)
12.00 - 13.30 Lunch
13.30 - 14.00 Formal Language Learning Theory (Dick de Jongh)
14.00 - 14.30 DOP versus Probabilistic Parsing Approaches (Rens Bod,
 Remko Scha)
14.30 - 15.00 ML applications in Speech and Signal Processing (Louis
 ten Bosch)
15.00 - 15.30 tea/coffee
15.30 - 16.00 Introduction to the discussion
16.00 - 17.00 closing discussion: Funding opportunities for ML of NL&S;
SIGNLL (ACL Special Interest Group Natural Language Learning)
(Moderated Daelemans - Powers)
17.00 - ..... farewell drinks
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