Shared tasks, datasets and state-of-the-art results for Chinese Natural Language Processing (NLP)
To track more progress in Natural Language Processing (NLP) in English and other languages, you can check NLP-progress, which includes the datasets and the current state-of-the-art for the most common NLP tasks.
We have a new shared task at this year's WMT titled "Triangular MT: Using English to improve Russian-to-Chinese machine translation". We would encourage you to participate in this shared task.
More details of the shared task is present at http://www.statmt.org/wmt21/triangular-mt-task.html
Please pass on the pointer to any of your colleagues and friends who might be interested in participating.
Want to contribute? Please follow the Instructions
Suggestions? Changes? Please send email to [email protected]
This project is initiated and actively maintained by DiDi NLP team under DiDi AI Labs.