21.3186, Confs: Computational Ling, Lang Documentation, Text/Corpus Ling/USA

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LINGUIST List: Vol-21-3186. Thu Aug 05 2010. ISSN: 1068 - 4875.

Subject: 21.3186, Confs: Computational Ling, Lang Documentation, Text/Corpus Ling/USA

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1)
Date: 05-Aug-2010
From: Jeff Allen < allen at linguistlist.org >
Subject: Seminar on Language Technologies for Low-data Languages
 

	
-------------------------Message 1 ---------------------------------- 
Date: Thu, 05 Aug 2010 14:51:11
From: Jeff Allen [allen at linguistlist.org]
Subject: Seminar on Language Technologies for Low-data Languages

E-mail this message to a friend:
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Seminar on Language Technologies for Low-data Languages 

Date: 17-Aug-2010 - 17-Aug-2010 
Location: Redmond, Washington, USA 
Contact: Jeff Allen 
Contact Email: allen at linguistlist.org 
Meeting URL:
http://www.allenkeys2languages.org/2010/08/public-talk-on-low-data-languages-in-translation-speech-systemssoftware/


Linguistic Field(s): Computational Linguistics; Language Documentation;
Text/Corpus Linguistics 

Meeting Description: 

This is an open invitation public talk

Date: Tues, August 17, 2010
Location: Microsoft, Redmond, Washington, USA
Room: Building 99, Room 1919
Time: 2:00PM-3:30PM
Speaker: Jeff Allen

Directions to building 99
http://research.microsoft.com/en-us/labs/redmond/visit.aspx

Abstract:

The majority of development work and deployment of machine translation (MT)
technologies over the past several decades have been for international
languages. Only a few projects for low-data/low-density/low
resource/sparse-data/less-prevalent/lesser-commonly taught/minority languages
have led to successful prototypes and products.  There are a certain number of
technical, logistical, social, educational and other factors which influence and
impact the potential success of implementing systems for such languages. This
talk will cover many of the lessons learned from previous projects, and some of
the pitfalls to avoid. It will also demonstrate how the recent efforts for
making Haitian Creole available for Haiti Disaster Relief had a certain level of
success in record time because of the ability to build upon previous work. Yet,
there were also obstacles with have been problematic and remain a concern for
this language and for other less-prevalent languages. Lastly, the discussion
will mention some ways to enable proactive, forward thinking projects, using
some bootstrapping methods, to reduce the risk of situations which can result
from working in a primarily reactive mode.

Jeff Allen is a member of the LINGUIST-List advisory group.





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