View Proposal

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Proposer

Gavin Abercrombie

Title

Machine Translation of English-Scots (or other language pairs)

Goal

To improve rule-based machine translation for a minoritised language on the Apertium platform

Description

Apertium (www.apertium.org) is a free, open-source platform for developing rule-based, shallow-transfer machine translation systems, which was initially developed for translation between closely related languages (Forcada et al., 2011). This project will aim to update and improve the English-Scots (Abercrombie, 2016) -- or another underdeveloped language pair found in the Apertium incubator. The project will involve: data collection and processing, training classifiers, human and automated evaluation.

Resources

https://wiki.apertium.org/wiki/Main_Page https://wiki.apertium.org/wiki/English_and_Scots

Background

Forcada et al. 2011. Apertium: a free/open-source platform for rule-based machine translation. Machine translation, 25(2):127–144 Gavin Abercrombie. 2016. A Rule-based Shallow-transfer Machine Translation System for Scots and English. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 578–584, Portorož, Slovenia. European Language Resources Association (ELRA).

Url

External Link

Difficulty Level

Moderate

Ethical Approval

None

Number Of Students

2

Supervisor

Gavin Abercrombie

Keywords

machine translation, nlp, rule-based ml, part-of-speech tagging, computational linguistics

Degrees

Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Bachelor of Science in Information Systems
Master of Science in Artificial Intelligence
Master of Science in Artificial Intelligence with SMI
Master of Science in Computing (2 Years)
Master of Science in Data Science