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Online Demo

To view the notebook please follow the link

https://nbviewer.jupyter.org/github/Linguistics-DTU/DTU_8th_Sem_Project/blob/master/Jupyter/languages_and_corpus.ipynb

https://nbviewer.jupyter.org/github/Linguistics-DTU/DTU_8th_Sem_Project/blob/master/Jupyter/KatTy_DSM.ipynb

CONTRIBUTORS

  • Abhinav Sharma
  • Niharika Gujela

TODO

DOCKERIZE
  • Github pages
  • Restructure
  • Renovate

8th Semester Project

LANGUAGE, SPACE AND MIND

May 2016

  • Explore the usage of Category Theory ( Haskell oriented ) to various Linguistics Models

  • We based this project on the exploratory grounds based on the book by Paul Chilton (2014) - Language, Space and Mind

  • Gained knowledge about modeling language parser in a strictly Functional programming environment such as Haskell

  • Explored various approaches towards a more mathematically rigorous semantic/syntactic analysis approach to computational linguistics

  • The Result} of the entire analysis were a couple iPython notebooks with the NLTK analysis of about 20 languages and the current state of quality of parsers}

  • Using this analysis we outline the major steps we need to take to create more Mathematically oriented parsers for syntactic analysis and modeling languages

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