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 175-023 Computational Linguistics

Note

Formerly available as 175-240/340. Students who have completed 175-240/340 are not eligible to enrol in this subject.

Availability

2nd and 3rd year

Credit Points

12.5

Coordinator

Professor Peter Austin

Prerequisites

Completion of 175-105 (175-004) Introduction to Language, or 175-106 (175-005) English: Its Structure and History, or 175-241/341 (175-024) Natural Language, or 50 points of Computer Science subjects, or departmental approval.

Semester

1 (view timetable)

Contact

Two 1-hour lectures and a tutorial per week. There will be no tutorials in the first or the middle week

Subject Description

A project-based introduction to techniques and issues in computational linguistics, providing an introduction to the major issues in computational linguistics and an overview of the current frameworks used in various types of Natural Language Processing (NLP) applications (parsing, text generation, machine translation, authoring aids, human-computer interaction, etc.) and their developments. Students will be asked to demonstrate their awareness of the specific conceptual issues and practical difficulties by doing some project assignments using existing NLP software to solve the kinds of language processing problems considered in the subject. Some awareness of computing issues will be useful, but the subject does not require programming knowledge.

Assessment

Regular assignments totalling 1500 words, and a project of 1500 words, and a 1-hour exam.

Prescribed Texts
  • J Allen, Natural Language Understanding. (2nd ed) Benjamin 1995.
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