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Is Machine Translation Ever the Right Tool for the Job?

 

Presenter:   Laurie Gerber
Date:    May 17, 2011
Time:   12 noon US Eastern Daylight Time
Duration:   60 minutes
CE Point(s):    1
Handout:    MT Product Resources, MT Job Decision Table

Machine translation is not an easy technology to love, but it is possible to like on occasion.  And no matter what, translators need to be able to discuss the issue when clients bring it up. 

This 60-minute webinar will explore the characteristics that help define a job as suitable for machine translation.  Real-world successes (and failures) will illustrate when human-only, machine-only, or some combination of both is appropriate for the customer's goals.

Attendees will learn the decision points to include in client discussions::

About the Presenter

Laurie Gerber has worked in the field of machine translation since 1986. Her career has included system development (Systran), research (USC Information Sciences Institute), business development (Language Weaver), and business development and technology (Syntes Language Group).

Laurie has been a member of ATA since 1989 and was certified in Japanese into English in 1991. She has been a member of the Association for Machine Translation in the Americas (AMTA) since 1992 and is a past president of both AMTA and its parent association, the International Association for Machine Translation (IAMT).

Laurie holds master’s degrees in East Asian Studies (Yale 1982) and Computational Linguistics (University of Southern California 2001).


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