北京外国语大学语料库团队近期利用 GPT 技术对原有的 BFSU Qualitative Coder 1.2 版本进行了升级，并正式发布 BFSU Qualitative Coder 2.0。

下载链接：

https://corpus.bfsu.edu.cn/BFSU_Qualitative_Coder_2.zip

主要更新内容

优化编码表制作流程：大幅简化了编码表（Code List，亦称标注方案、理论框架、tagset、coding scheme 或 annotation scheme）的构建步骤。

新增批量统计功能：支持对大量已标注文件进行统一的批量数据统计。

此次更新还包含其他多项功能与性能方面的优化。

The Corpus Research Group at Beijing Foreign Studies University (BFSU) has recently upgraded the BFSU Qualitative Coder (version 1.2) using GPT-assisted programming, and has officially released BFSU Qualitative Coder 2.0.

Download Link:

https://corpus.bfsu.edu.cn/BFSU_Qualitative_Coder_2.zip

Key Updates

Optimized Code List creation: Simplifies the steps for building code lists (also referred to as annotation schemes, theoretical frameworks, tagsets, coding schemes, or annotation schemes).

New batch statistics feature: Supports unified, batch data statistics across a large volume of annotated files.

This update also includes various other functional and performance optimizations.