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
  • Graham Neubig (gneubig@cs.cmu.edu)