Exploring Search Capabilities Using Collocation Metrics

Student: Vakhranev Anton

Educational Programme: Computational Linguistics (Master)

Final Grade: 7

Year of Graduation: 2021

The work is devoted to extracting collocations from the legal corpus: collocation measures and various linguistic filters are compared. Some of the experiments were performed using part-of-speech, syntactic filters, as well as restrictions on the distance from the keyword. The obtained examples demonstrate the advantages and disadvantages of measures such as variance, PMI and Log-Likelihood.

Full text (added June 1, 2021)

Student Theses at HSE must be completed in accordance with the University Rules and regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses