11-737 Multilingual Natural Language Processing.

12 units, Carnegie Mellon University

11737 Multilingual Natural Language Processing is an advanced graduatelevel course on natural language processing techniques applicable to many languages. Students who take this course should be able to develop linguistically motivated solutions to core and applied NLP tasks for any language. This includes understanding and mitigating the difficulties posed by lack of data in lowresourced languages or language varieties, and the necessity to model particular properties of the language of interest such as complex morphology or syntax. The course will introduce modeling solutions to these issues such as multilingual or crosslingual methods, linguistically informed NLP models, and methods for effectively bootstrapping systems with limited data or human intervention. The project work will involve building an endtoend NLP pipeline in a language you dont know.

Prerequisites: none listed

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