Overview
Who this competition fits
Builders comfortable with Chinese algorithm-competition pages hosted by iFlytek.
Read the original official blurb
机器翻译质量评估（QE）是一种无需人工参考译文的自动化评分技术，主要用于评价机器翻译输出的质量。其应用价值体现在两个维度：一是辅助人工译后编辑（PE），通过量化评分判断译文是否值得进一步修改；二是优化机器翻译系统，通过识别翻译缺陷进行数据清洗，从而提升模型性能。 尽管基于神经网络的QE方法在学术界取得进展，但工业级应用仍面临挑战。主要瓶颈包括人工标注数… Official track: 自然语言处理. Sponsor: 科大讯飞股份有限公司. Teams entered: 97.
Preparation
From registration to a first submission
- 01
Can read Chinese competition pages
- 02
Comfortable submitting a baseline
- 03
Basic familiarity with LLM tooling or agent/skill workflows
Before you commit: Task details, eligibility, and scoring rules live mainly on the official iFlytek page and change each season.
Source
How this page was assembled
Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.
- Official competition page
- iFlytek Challenge
- Last checked
- Jun 11, 2025