300-Dimensional Word Embeddings for Nepali Language
收藏IEEE2020-06-22 更新2026-04-17 收录
下载链接：
https://ieee-dataport.org/open-access/300-dimensional-word-embeddings-nepali-language
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资源简介：
This pre-trained Word2Vec model has 300-dimensional vectors for more than 0.5 million Nepali words and phrases. A separate Nepali language text corpus was created using the news contents freely available in the public domain. The text corpus contained more than 90 million running words. The Nepali Text Corpus can be accessed freely from http://dx.doi.org/10.21227/jxrd-d245.Word2Vec model details: Embeddings Dimension: 300, Architecture: Continuous - BOW, Training algorithm: Negative sampling = 15, Context (window) size: 10, Token minimum count: 2, Encoded in UTF-8.
提供机构：
Lamsal, Rabindra
创建时间：
2020-06-22
