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Conference Information



Full Title: Australasian Language Technology Workshop

      
Short Title: ALTA 2014
Location: Melbourne, Victoria, Australia
Start Date: 26-Nov-2014 - 28-Nov-2014
Contact: Gabriela Ferraro
Meeting Email: click here to access email
Meeting URL: http://www.alta.asn.au/events/alta2014/
Meeting Description: Australasian Language Technology Workshop (ALTA 2014)
http://www.alta.asn.au/events/alta2014/

This year the Australasian Language Technology Workshop (ALTA) will be held at the RMIT University, Melbourne, Victoria, on Wednesday 26 - Friday 28 November. This event will be the twelfth annual installment of the ALTA.

The goals of the ALTA workshop are:

- To bring together the growing Language Technology (LT) community in the Australasian region and encourage interactions
- To encourage interactions and collaboration within this community and with the wider international LT community
- To foster interaction between academic and industrial researchers, to encourage dissemination of research results
- To provide a forum for students and young researchers to present their research
- To facilitate the discussion of new and ongoing research and projects
- To provide an opportunity for the broader artificial intelligence community to become aware of local LT research
- To increase visibility of LT research in Australasia and overseas

Invited Speakers:

We are very pleased to announce that Jennifer C. Lai. from IBM Research has accepted our invitation to present a keynote at ALTA 2014. We will provide additional details on the website in the near future.

Tutorials:

We are pleased to announce the following tutorials at ALTA 2014:

Presenter: Dr. Trevor Cohn
Title: Gaussian Processes for NLP

Short Description:

Gaussian Processes are a powerful Bayesian modelling framework, which holds considerable potential in language processing. The tutorial will present fundamentals of Gaussian Processes and survey several NLP tasks where GPs have been deployed successfully.

Presenter: Dr. Gholamreza Haffari
Title: Machine Learning Approaches for Dealing with Limited Bilingual Data in Statistical Machine Translation

Short Description:

High quality translation output in Statistical machine translation (SMT) is dependent on the availability of massive amounts of parallel text in the source and target language. There are a large number of languages that are considered ''low-density'', either because the population speaking the language is not very large, or even if millions of people speak the language, insufficient online resources are available in that language. This tutorial covers machine learning approaches for dealing with such situations in SMT where the amount of available bilingual data is limited.

For more information, please see:
http://www.alta.asn.au/events/alta2014/alta-2014-tutorials.html

Student Travel Support:

With the generous support of our sponsors, ALTA will be offering travel support for students to attend and present at ALTA 2014. We will provide details of this on the workshop website at a later date.

Sponsorship:

We are pleased to announce that we have already secured sponsorship for the workshop from the CSIRO.

If you or your organisation are interested in sponsoring the ALTA Workshop, please contact the workshop organisers for information.

ALTA Membership:

We invite anyone interested in language technology research and development to join ALTA by subscribing to the ALTA mailing list alta-announce+subscribe@googlegroups.com
Linguistic Subfield: Computational Linguistics
LL Issue: 25.2869


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