Natural Language Processing MQF LEVEL
6
STMARTINS.EDU/COMPUTING
TOTAL CREDITS: 7ECTS
This unit provides the necessary background to understand how natural languages are processed with machine algorithms, and how this allows the system to make inferences from given sentences. Learners will also experiment with existing algorithms and applications in order to be familiar with current approaches, along with their advantages and limitations. Various techniques such as stemming, tagging, lemmatisation will be explored, making the learner appreciate and understand how all this fits with the context of natural languages and different grammars and grammar types. At the end of this unit the student will have acquired the responsibility and autonomy to: — research, experiment with and make use of online software tools to perform corpus analysis. — design and implement models for stemming and tagging using regular expressions or other approaches. — analyse system requirements for a given problem and formulate the natural language processing required to solve the task at hand. The assessment for this unit will be computed using the following weighting system: — 30% Assessed Coursework — 70% Examinations
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