windsuzu/Joint-Semantic-Phonetic-Embedding
We use phonetics as a feature to create a joint semantic-phonetic embedding and improve the neural machine translation between Chinese and Japanese. 🥳
This project helps improve the quality of machine translations between Chinese and Japanese. It takes Chinese and Japanese text, processes it to understand both its meaning and its sounds, and then generates more accurate and contextually appropriate translations. This would be used by linguists, translation service providers, or anyone needing high-quality automated translations between these two languages.
No commits in the last 6 months.
Use this if you need to achieve higher accuracy and semantic quality in automated Chinese-to-Japanese or Japanese-to-Chinese translations.
Not ideal if your translation needs are for languages other than Chinese and Japanese, or if you only require basic, less nuanced translations.
Stars
12
Forks
2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Aug 03, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/windsuzu/Joint-Semantic-Phonetic-Embedding"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
MinishLab/model2vec
Fast State-of-the-Art Static Embeddings
AnswerDotAI/ModernBERT
Bringing BERT into modernity via both architecture changes and scaling
tensorflow/hub
A library for transfer learning by reusing parts of TensorFlow models.
Embedding/Chinese-Word-Vectors
100+ Chinese Word Vectors 上百种预训练中文词向量
twang2218/vocab-coverage
语言模型中文认知能力分析