Papers by ZhiQiang Tang

1 papers
Automated Tone Transcription and Clustering with Tone2Vec (2024.findings-emnlp)

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Challenge: Lexical tones play a crucial role in Sino-Tibetan languages, but current phonetic fieldwork relies on manual effort.
Approach: They propose a pitch-based similarity representations for tone transcription called Tone2Vec . they propose an open-source package that facilitates automated fieldwork and analysis .
Outcome: Experiments on dialect clustering and variance show that Tone2Vec captures fine-grained tone variation.

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