AI RESEARCH
TalkTag: Fine-Grained Morphosyntactic Error Annotation for Transcribed Speech
arXiv CS.CL
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ArXi:2606.01820v1 Announce Type: new Fine-grained morphosyntactic error annotation is important in clinical and developmental language research, yet it is labour-intensive, expert-dependent, and difficult to scale. We present TalkTag, an LLM-based lightweight tool fine-tuned to automate CHAT-style error annotation in spoken-language transcripts. Developed under conditions of extreme data scarcity using children's narrative data, the system shows the feasibility of linguistic analysis in low-resource settings.