/CMU-CS11-737

Solutions of the CMU Multilingual Natural Language Processing Course

Primary LanguageShell

Multilingual Natural Language Processing (CS11-737)

Solutions of the course assignments.

Course objectives

  • Develop linguistically motivated solutions to core and applied NLP tasks for any language.
  • Understand and mitigate the difficulties posed by lack of data in low-resourced languages or language varieties.
  • Understand the necessity to model particular properties of language such as complex morphology or syntax.

Assignments

Assignment-01 (Multilingual POS Tagging)

  • Run the code and reproduce the results provided.
  • Add CRF layer and apply fixed to increase accuracy score.
  • For more details, see the Assignment-01.

Assignment-02 (Multilingual Translation)

  • Run the code and reproduce the results provided.
  • For more details, see the Assignment-02.

Credits

  • Carnegie Mellon University (CMU), Language Technologies Institute (LTI)
  • Course website
  • Instructors