Category Archives: Lecture log

Course Review

This, the final lecture of the course, included information about exam dates, format of the paper, examinable material, past papers, and a summary list of topics covered in the course. I also gave brief reviews of two topics, as selected … Continue reading

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Lecture 19: χ² Testing on Categorical Data

More on hypothesis testing, and using this to find correlations. Continue reading

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Lecture 18: Hypothesis Testing and Correlation

Correlation and statistical significance. Lots on the delicate relationship between correlation and causality. Continue reading

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Lecture 17: Data Scales and Summary Statistics

Baseline information about statistics; some kinds of data, some kinds of analysis. Also, gravitational waves and the big bang. Continue reading

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Lecture 16: Vector Spaces for Information Retrieval

The vector space model for information retrieval treats documents as vectors in a very high-dimensional space: a dimension for every distinct word, with the vector coordinate being the number of times the word occurs in the document. In a collection … Continue reading

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Lecture 15: Information Retrieval

Unstructured data; specifying the Information Retrieval problem and evaluating solutions. Continue reading

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Lecture 14: Example Corpora Applications

Corpora are widely used for computational research into language, and for engineering natural-language computer systems. In linguistics, they make it possible to do real experimental science: formulate hypotheses about the structure of languages, or changes in language between different places, … Continue reading

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Lecture 13: Annotation of Corpora

Annotation and analyses of corpora: part-of-speech tagging; syntactic structure; concordances, frequencies and n-grams. Continue reading

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Lecture 12: Corpora

Introduction to what a corpus is and how they are built; copies of the reading handout are in the ITO. Continue reading

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Lecture 11: Navigating XML

XPath for navigating and querying XML documents; information about the Edinburgh Student Experience Survey (ESES) — please complete the survey. Continue reading

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