语言样本分析的自动化
Houjun Liu1, Brian MacWhinney2, Davida Fromm2
1The Nueva School, San Mateo, CA.
概括
使用Batchalign管道自动化语言样本分析 (LSA) 显著减少了高达75%的转录时间. 这种方法为临床实践和研究提供了准确的,与时间一致的成绩单.
科学领域:
- 语言学的语言学.
- 计算语言学 计算语言学
- 语音语言病理学 语言病理学
背景情况:
- 语言样本分析 (LSA) 对临床实践和研究至关重要.
- 转录是LSA中一个耗时的瓶.
研究的目的:
- 介绍Batchalign,一个自动化的管道LSA转录.
- 为了减少LSA数据处理所需的时间和精力.
主要方法:
- 该 Batchalign 管道集成了自动语音识别,代币化,校正,扬声器 ID 分配和强制对齐.
- 它以Codes for the Human Analysis of Talk (CHAT) 格式制作转录,并进行时间对齐和形态语法分析.
- 最终检查需要最小的人类干预.
主要成果:
- 对于有或没有语言障碍的成年人来说,单词错误率很低 (2.4%-3.4%).
- 发言标记化和单词级日记化的准确性很高.
- 人类转录时间减少了高达75%,完全遵守CHAT格式.
结论:
- 批量分析大大缩短了从数据收集到分析的时间表.
- 与手动转录相比,管道提供了更高的输出,促进了LSA的使用.
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