Natural Language Technologies

This micro-credential provides students with a practical and theoretical grounding in the following core topics in modern Natural Language Processing: language modelling, language analysis, information extraction and language understanding. Students will learn how these problems are tackled using supervised and semi-supervised machine learning, and they will gain hands-on experience developing machine-learning solutions during the laboratory sessions. Popular benchmark datasets will be employed, including ‘noisy’ datasets containing text from sources such as Twitter and reddit.

On successful completion of this Micro-Credential the learner will be able to:

• Describe the applications of Natural Language Processing (NLP) in Data Science
• Illustrate how neural word embeddings underpin modern NLP systems
• Develop an English language model
• Evaluate an English language model
• Develop an English part-of-speech tagger
• Evaluate an English part-of-speech tagger
• Develop a sentiment analysis system for English
• Evaluate a sentiment analysis system for English
• Develop an English question answer/reading comprehension system
• Evaluate an English question answer/reading comprehension system
• Explain the unsolved problems in NLP research
• Summarize the ethical issues surrounding modern data-driven NLP

A Primary Honours degree, Level 8 in Electronic/Electrical/Computer Engineering, Applied Physics, Computer Sciences or other Cognate/Engineering Disciplines. Applications are also invited from diverse educational and/or employment backgrounds, with applications evaluated on a case-by-case basis.

And also to indicate the required documentation:

• Please provide Academic Transcripts for final year of study where appropriate (English translation)
• All applicants must submit a copy of their passport

There is no availability for a deferred entry onto a micro-credential.
If applicable, evidence of competence in the English language as per DCU entry requirements.  Please see here.
For further information regarding the HCI learner subsidy eligibility criteria please click here. (https://hea.ie/skills-engagement/hci-pillar-3-micro-credentials-learner-fee-subsidy/).