Description
Introduction to the fundamental techniques and models of modern natural language processing. Topics include: word embedding, language models, machine translation, self-attention and transformer, question answering, and pre-trained models.
Prerequisites
- Prerequisite(s): ( COMP 3105 or SYSC 4415 ) and ( MATH 1104 or MATH 1107 ).
Conditions and arrangements
- Prerequisite(s): ( COMP 3105 or SYSC 4415 ) and ( MATH 1104 or MATH 1107 ).
- Lectures three hours a week.
Reference text in its original language
Introduction to the fundamental techniques and models of modern natural language processing. Topics include: word embedding, language models, machine translation, self-attention and transformer, question answering, and pre-trained models.
- Prerequisite(s): ( COMP 3105 or SYSC 4415 ) and ( MATH 1104 or MATH 1107 ).
- Lectures three hours a week.
Sources and references
Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.
Source reference : https://calendar.carleton.ca/undergrad/courses/COMP/