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- en |
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# TalkBank Batchalign CHATUtterance |
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CHATUtterance is a series of Bert-derivative models designed for the task of Utterance Segmentation released by the TalkBank project, which is trained on the the utterance diarization samples given by [The Michigan Corpus of Academic Spoken English](https://ca.talkbank.org/access/MICASE.html). |
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## Usage |
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The models can be used directly as a Bert-class token classification model following the [instructions from Huggingface](https://huggingface.co/docs/transformers/tasks/token_classification). Feel free to inspect [this file](https://github.com/TalkBank/batchalign/blob/73ec04761ed3ee2eba04ba0cf14dc898f88b72f7/baln/utokengine.py#L85-L94) for a sense of what the classes means. Alternatively, to get the full analysis possible with the model, it is best combined with the TalkBank Batchalign suite of analysis software, [available here](https://github.com/talkbank/batchalign2), using `transcribe` mode. |
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Target labels: |
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- `0`: regular form |
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- `1`: start of utterance/capitalized word |
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- `2`: end of declarative utterance (end this utterance with a `.`) |
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- `3`: end of interrogative utterance (end this utterance with a `?`) |
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- `4`: end of exclamatory utterance (end this utterance with a `!`) |
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- `5`: break in the utterance; depending on orthography one can insert a `,` |
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