COMP 90042 Natural Language Processing
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In this COMP 90042 Natural Language Processing course, the students will study about the computational methods for working with text, in the form of natural language understanding, and language generation. By pursuing this course, students will build up an understanding of the core algorithms employed in natural language processing, for use in a varied range of applications comprising machine translation, sentiment analysis, text mining, and question answering. The programming language employed is Python.
Learning outcomes: After completion of this course unit, the students are expected to:
- Recognize fundamental challenges related with the computational modelling of natural language.
- Comprehend and articulate the mathematical and/or algorithmic basis of common methods employed in natural language processing.
- Apply relevant methods and/or interface with existing libraries.
- Conduct end-to-end research experiments, comprising evaluation with text corpora, along with presentation and interpretation of outcomes.
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