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.

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