Release 0.3.0
What's new:
- Removed unused entries in
C2K(upper case ASCII, they were there for a mistake).- It changes the embedding dim, I treat this as an API change and bump the minor version.
- Use a slightly larger training split.
- Add
'into input symbols forC2KandP2K, this boosted the bleu score a little bit.
This release contains following resources:
model-{c2k/p2k}-e10.pth: rawstate_dictfiles from pretrained models in PyTorch, fp32, 10 epochsmodel-{c2k/p2k}.npz:npzfiles directly used in production library, fp16model-{c2k/p2k}.safetensors:safetensorsfiles for integration in other languages, fp16
Resources didn't change from 0.2.0 is not included:
katakana_dict.jsonl: a JSON line file contains the extracted English to Katakana dictionary
Check 0.2.0 for these resources.
Please acknowledge that the dictionary should follow the Wikimedia's license and the JMdict / EDICT's Copyright license.
I'm not a lawyer, how to treat the model weights derived from the dictionary is up to you.