Difference between revisions of "User:Frankier"

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(Created page with "== Basic info == Full name: Frankie Robertson Email: $first@$second.name Web: http://frankie.robertson.name Phone: +358 46576679 IRC: frankier == About me/blurb (cribbed fro...")
 
 
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Full name: Frankie Robertson
 
Full name: Frankie Robertson
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Email: $first@$second.name
 
Email: $first@$second.name
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Web: http://frankie.robertson.name
 
Web: http://frankie.robertson.name
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Phone: +358 46576679
 
Phone: +358 46576679
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IRC: frankier
 
IRC: frankier
   
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One thing that interests me about rule based approaches in comparison to statistical/ML approaches to machine translation and NLP is that a rule based system can explain itself to a language learner (some statistical/ML approaches can learn rules - such hybrid systems might also be able to explain themselves).
 
One thing that interests me about rule based approaches in comparison to statistical/ML approaches to machine translation and NLP is that a rule based system can explain itself to a language learner (some statistical/ML approaches can learn rules - such hybrid systems might also be able to explain themselves).
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== Some pages ==
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* [[Code style]] - trying to document existing Apertium code style and make steps towards a consistent style for Apertium code
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* [[Jenkins]] - CI for Apertium code and language data
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* [[CG hybrid tagging]]
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* [[Perceptron tagger]]
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* [[Frankier/GSOC 2016 submission]]

Latest revision as of 18:21, 22 August 2016

Basic info[edit]

Full name: Frankie Robertson

Email: $first@$second.name

Web: http://frankie.robertson.name

Phone: +358 46576679

IRC: frankier

About me/blurb (cribbed from GSOC application)[edit]

My interest in Natural Language Processing was initially sparked by my attempts to learn the Finnish language which got me pondering language and language learning in general quite a bit. My long term vision that drives my interest is that I think eventually we can apply some of these tools to improve the experience of language learning. The idea is something along the lines of “if we can make it a model for a computer - we can get the computer to teach it to a human”. I don’t think I’m alone in having this long term vision - for example the VISL project http://beta.visl.sdu.dk/ and the Oahpa! Project http://oahpa.no/ have worked in this direction (but I think there is a lot more to be done and different potential ways to apply NLP techniques to help language learners).

Since I have experience in software engineering, programming and computer science, NLP feels like a very direct and natural way to engage with linguistics and linguistic issues.

One thing that interests me about rule based approaches in comparison to statistical/ML approaches to machine translation and NLP is that a rule based system can explain itself to a language learner (some statistical/ML approaches can learn rules - such hybrid systems might also be able to explain themselves).

Some pages[edit]