NATURAL LANGUAGE PROCESSING
CSE5NLP
Not currently offered
Credit points: 15
Subject outline
Natural Language Processing (NLP) is broadly concerned with the interactions between computers and natural (i.e., human) languages; more particularly, it is concerned with the question of how to program computers to process and analyse large amounts of natural language data. Following a review of the essential mathematical and linguistic concepts underlying natural language processing, you will develop skills in important natural language processing sub-tasks including accessing corpora, tokenisation, morphological analysis, word sense disambiguation, part-of speech tagging, and analysing sentence structure. You will then apply these skills in the context of applications such as text categorisation, text clustering, text recommendation, and information retrieval. Where appropriate, both lexical (i.e. dictionary-based) and machine learning approaches will be used.
School: Engineering and Mathematical Sciences (Pre 2022)
Credit points: 15
Subject Co-ordinator: Andrew Skabar
Available to Study Abroad/Exchange Students: Yes
Subject year level: Year Level 5 - Masters
Available as Elective: No
Learning Activities: N/A
Capstone subject: No
Subject particulars
Subject rules
Prerequisites: CSE2AIF OR CSE5AIF
Co-requisites: N/A
Incompatible subjects: N/A
Equivalent subjects: N/A
Quota Management Strategy: N/A
Quota-conditions or rules: N/A
Special conditions: N/A
Minimum credit point requirement: N/A
Assumed knowledge: N/A
Learning resources
Speech and Language Processing
Resource Type: Book
Resource Requirement: Recommended
Author: Daniel Jurafsky and James H. Martin.
Year: 2014
Edition/Volume: N/A
Publisher: Pearson
ISBN: N/A
Chapter/article title: N/A
Chapter/issue: N/A
URL: N/A
Other description: N/A
Source location: N/A
Foundations of Statistical Natural Language Processing
Resource Type: Book
Resource Requirement: Recommended
Author: Christopher D. Manning and Hinrich Schutze.
Year: 1999
Edition/Volume: N/A
Publisher: The MIT Press
ISBN: N/A
Chapter/article title: N/A
Chapter/issue: N/A
URL: N/A
Other description: N/A
Source location: N/A
Natural Language Processing with Python
Resource Type: Book
Resource Requirement: Recommended
Author: Steven Bird, Ewan Klein & Edward Loper
Year: N/A
Edition/Volume: N/A
Publisher: O'Reilly
ISBN: N/A
Chapter/article title: N/A
Chapter/issue: N/A
URL: N/A
Other description: N/A
Source location: N/A
Career Ready
Career-focused: No
Work-based learning: No
Self sourced or Uni sourced: N/A
Entire subject or partial subject: N/A
Total hours/days required: N/A
Location of WBL activity (region): N/A
WBL addtional requirements: N/A