School Of Computer, Data And Mathematical SciencesNatural Language UnderstandingWestern Sydney University Unit Code: 301313.1
Discipline: ARTIFICIAL INTELLIGENCE
Student Contribution Band: 2
Level: 7
Credit Points: 10
Co ordinator
Manas Patra
Assumed Knowledge
There are no assumed knowledge for this unit although an undergraduate degree with some probability and statistics is advantageous.
Teaching Periods
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About this UnitNatural Language Understanding involves machine reading comprehension and the technologies using it are becoming increasingly widespread. This unit provides a foundation in using the Natural Language Toolkit, which is a leading platform for building Python programs working with ‘human language’ data, as well as an introduction to Python for Natural Language Processing. Students will use algorithms and explore accessing text corpora and processing raw text; categorising words and classifying text; understanding information from text and analysing sentence structures; and understanding semantic meanings of sentences. Students also gain real-world hands-on experience with Natural Language Understanding through the practical tasks and assignments.
Courses| 3698.4 | Master of Information and Communications Technology (Advanced) | CURRENT |
| 3699.4 | Master of Information and Communications Technology | CURRENT |
| 3700.2 | Graduate Diploma in Information and Communications Technology | CURRENT |
| 3735.1 | Master of Data Science | CONTINUING |
| 3735.2 | Master of Data Science | CURRENT |
| 3765.1 | Master of Artificial Intelligence | CURRENT |
| 3766.1 | Graduate Diploma in Artificial Intelligence (Exit only) | CURRENT |
| 3767.1 | Graduate Certificate in Artificial Intelligence (Exit only) | CURRENT |
| 3775.1 | Graduate Diploma in Information Governance | CURRENT |
| 3779.1 | Master of Information Governance | CURRENT |
| 3780.1 | Master of Information and Communications Technology/Master of Data Science | CURRENT |
Specialisations
| A3025.1 | Graduate Diploma in Information and Communications Technology Pathway A - 1.5 years | CURRENT |
| A3037.1 | Master of Information and Communications Technology (Advanced) Pathway A - 2.5 years | CURRENT |
| A3038.1 | Master of Information and Communications Technology (Advanced) Pathway B - 2 year program | CURRENT |
| A3039.1 | Master of Information and Communications Technology (Advanced) Pathway C - 2 years | CURRENT |
| A3040.1 | Master of Information and Communications Technology Pathway A - 2 years | CURRENT |
| A3041.1 | Master of Information and Communications Technology Pathway B - 1.5 years | CURRENT |
| A3042.1 | Master of Information and Communications Technology Pathway C - 1.5 years | CURRENT |
| A3046.1 | Master of Communications Technology/Master of Data Science - Pathway A - 3 year program | CURRENT |
| A3047.1 | Master of Info and Com Technology/Master of Data Sci - Pathway B - 2.5 Year program | CURRENT |
| A3048.1 | Master of Communications Technology/Master of Data Science - Pathway C -2.5 yr program | CURRENT |
| ST3075.1 | Artificial Intelligence | CURRENT |
| ST3081.1 | Artificial Intelligence | CURRENT |