COMP40020

Learning Outcomes:

By the end of this module you should be able to:
1. Appreciate the principles and technologies that underpin speech and language based applications;
2. Describe the main characteristics of knowledge-based and data-driven approaches and the role they play in applied linguistics and Computer Science in their broadest sense;
3. Explain the workings of the various computational models presented in the module and how they can be applied in practical applications and to process specific examples;
4. Demonstrate an understanding of a range of computational toolkits used in speech and language processing;
5. Recognise and reflect on the relationship between the underlying theories and start-of-the-art research.

Indicative Module Content:

Evolution of human language technologies

Human language fundamentals (phonetics, phonology, morphology, syntax, semantics)

Key concepts in the processing of text and speech
-- syntactic parsing
-- text processing
-- computational models of morphology
-- computational models of phonology
-- language modelling
-- speech recognition
-- speech synthesis

Practical workshops with group challenges (using NLTK and other tools)

Student Effort Hours:

Approaches to Teaching and Learning:

Requirements, Exclusions and Recommendations

Not applicable to this module.

Module Requisites and Incompatibles

Assessment Strategy

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Detailed written feedback will be provided post-assessment for the 2 assignments within 2 weeks of submission and for the examination when the final results are released. Oral group/class feedback will provided on the group challenges at workshops.