production
Skip to Content

Log In

  1. University Home
  2. Catalogue of Courses
  3. Postgraduate
  4. 2014-2015
  5. Computing Science
  6. CS5057: Natural Language Processing

CS5057: NATURAL LANGUAGE PROCESSING (2014-2015)

Last modified: 28 Jun 2018 10:27


Course Overview

Natural Language Processing (NLP) is an influential topic that relates to Artificial Intelligence, Linguistics and Human Computer Interaction. NLP engineers are in high demand at companies such as Google, Facebook, Twitter, Yahoo and Microsoft that require sophisticated analysis of text on the internet. This course covers a range of theoretical and applied topics related to how computers interpret human language, and also how computers can generate human language; for example, to summarise data. Topics include grammar formalisms and algorithms for parsing sentences, natural language semantics, text analytics using sentiment analysis, machine translation, grammar checking and natural language generation from data.

Course Details

Study Type Postgraduate Level 5
Session First Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus None. Sustained Study No
Co-ordinators
  • Dr Advaith Siddharthan

What courses & programmes must have been taken before this course?

None.

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

None.

Are there a limited number of places available?

No

Course Description

Formal linguistic models of English: word categories, sentence constituents, phrase-structure grammar rules, features. Modelling syntactic phenomena. Parsing: shift-reduce parsers, chart parsers, handling ambiguity, definite clause grammars. Semantics and pragmatics: meaning representations, reference, speech acts. Generation: content determination, sentence planning, and realisation. Applications: grammar checking, machine translation, database interfaces, report generation, dictation. Speech: hidden Markov models, statistical language models, speech synthesis.

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers


Details, including assessments, may be subject to change until 31 August 2023 for 1st half-session courses and 22 December 2023 for 2nd half-session courses.

Summative Assessments

1 two hour written examination (75%) and continuous assessment (25%).

Formative Assessment

There are no assessments for this course.

Feedback

None.

Course Learning Outcomes

None.
 

Compatibility Mode

We have detected that you are have compatibility mode enabled or are using an old version of Internet Explorer. You either need to switch off compatibility mode for this site or upgrade your browser.