Data-driven analysis and tools for Linguistic research

Course Number: 
HSV747
LTP structure: 
2-0-0
Discipline: 
Linguistics
Credit: 
2.0

Pre-requisite

HUL 242 for UG

Course Objective

The course aims to equip linguistics research scholars with programming knowledge that can enable them to handle text data/resource and tools. This will help them to explore data for mining linguistic patterns related to a research question.

Course Content

The course will cover the following topics: (1) Quick introduction to Python (2) It will give a broad overview of how one can use natural language text for making linguistic generalization and discovering linguistics patterns, (3) We will also look at how the data can be used to make automatic tools such as taggers and parsers. In the process we will learn to use the following resources/tools: (a) NLTK (b) MaltParser (c) WordNet
The information provided here may not be updated. Please check UG/PG section for updated course offering data.