Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/80626| Title: | A cross-linguistic investigation into the connotation of basic colour terms using a distributional semantic model |
| Authors: | Cassar, Alexandra (2021) |
| Keywords: | Color -- Terminology Semantics -- Data processing Python (Computer program language) |
| Issue Date: | 2021 |
| Citation: | Cassar, A. (2021). A cross-linguistic investigation into the connotation of basic colour terms using a distributional semantic model (Bachelor's dissertation). |
| Abstract: | The aim of this project is to discover associations and levels of distributional similarity between basic colour terms in different languages. This is done using a distributional semantic model known as Word2Vec. The languages investigated in this project were English, Maltese and Italian. The programming language used in this project was Python. |
| Description: | B.Sc. (Hons) HLT (Melit.) |
| URI: | https://www.um.edu.mt/library/oar/handle/123456789/80626 |
| Appears in Collections: | Dissertations - InsLin - 2021 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Alexandra Cassar.pdf Restricted Access | 1.72 MB | Adobe PDF | View/Open Request a copy |
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