File size: 724 Bytes
ba3be43 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 |
---
license: bsd-3-clause
language:
- zh
- en
- id
- ja
- es
---
# TUBELEX FastText Word Embeddings
FastText Word Embeddings trained on the TUBELEX YouTube subtitle corpora. We use the 300-dimensional [fastText](https://github.com/facebookresearch/fastText) CBOW model with position weights, 10 negative samples, 10~epochs, character 5-grams (other paramters: default) ([Grave et al., 2018](https://aclanthology.org/L18-1550)).
# What is TUBELEX?
TUBELEX is a YouTube subtitle corpus currently available for Chinese, English, Indonesian, Japanese, and Spanish.
- TODO: paper link
- [KenLM n-gram models](https://huggingface.co/naist-nlp/tubelex-kenlm)
- [word frequencies and code](https://github.com/naist-nlp/tubelex) |