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Classical Tibetan Word Embeddings

<p>Classical Tibetan word embeddings trained with FastText based on the 2018 version of the BDRC corpus, a segmented version of which is available on Zenodo:</p> <p>Meelen, Marieke, &amp; Roux, &Eacute;lie. (2020). The Annotated Corpus of Classical Tibetan (ACTib) - Version 2.0 (Segmented &amp; POS-tagged) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3951503</p> <p>This is the first version trained with default FastText settings (100D) for a pilot study on Chinese-Tibetan crosslinguistic Semantic Textual Similarity:</p> <p>Felbur, Rafal, Marieke Meelen &amp; Paul Vierthaler (2022), &#39;Crosslinguistic Semantic Textual Similarity of Buddhist Chinese and Classical Tibetan&#39; in <em>Journal of Open Humanities Data</em>.</p> <p>This research was done with generous funding from the Open Philology project. This project (running 2018&ndash;2022) is funded by the European Research Council (ERC) under the Horizon 2020 program (Advanced Grant agreement No 741884). It is based at the Leiden University Institute for Area Studies.</p>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
8

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