El dt 22 de 03 de 2011 a les 12:22 -0500, en/na Rafael Turner va
escriure:
> Dear members of Apertium,
> 
> My name is Rafael and I am a second year student at the University of
> Chicago. I was wondering if I could please have some feedback on my
> project proposal. A link to my resume, project idea and timeline is
> http://home.uchicago.edu/~turnersr/gsoc/apertium/Steven_Rafael_Turner.pdf
> 
> I am interested in machine translation because of its
> interdisciplinary nature. Linguistics is divided into several distinct
> areas: phonetics, phonology, morphology, syntax, semantics,
> pragmatics, etc. . Each of these areas has evolved throughout the
> years by developing its own ideas and techniques, and has reached by
> now a remarkable degree of specialization. Machine translation,
> however, requires that various connections between these areas and the
> creation of actual ‘bridges’ between different linguistic branches.
> Many times it seems that methods from all fields must employed to
> capture the nuance of language, and this interplay of different points
> of view in a same subject has played a fundamental role in
> illuminating the nature of language. Machine translation is a breeding
> ground for translating and comparing different linguistic theories,
> discovering analogies, and providing an effective means for
> transferring results and techniques between distinct fields. That is
> why I find machine translation so exciting!
> 
> Please consider my prior experience in natural language processing,
> programming, and conceptualizing mathematically as proper
> qualifications.
> 
> Take care,
> Rafael
> 
> P.S. Please let me know if this is way out there. I have other ideas
> related to implementing morphology learning algorithms that may fit
> more naturally into the Apertium framework.

Isn't this basically a character-based SMT system ? Remember that
Apertium is by-and-large an RBMT project -- have you looked over our
ideas on the ideas page?[1]

Fran

1. http://wiki.apertium.org/wiki/Ideas_for_Google_Summer_of_Code


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