Papers by Kristina Lundholm Fors

2 papers
A Swedish Cookie-Theft Corpus (L18-1)

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Challenge: Language disturbances can be a diagnostic marker for neurodegenerative diseases, such as Alzheimer's disease, at earlier stages.
Approach: They develop a corpus of audio recordings of the Cookie-theft, a standardized test that has been used in studies in the past.
Outcome: The proposed corpus is based on audio recordings of the Cookie-theft . it provides a rich resource for future research and experimentation in many areas .
Multilingual prediction of Alzheimer’s disease through domain adaptation and concept-based language modelling (N19-1)

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Challenge: Existing work on speech and language models has been limited by the size of available datasets.
Approach: They propose to augment a small French dataset with a much larger English dataset to augment the language model to model the order in which information units are produced by dementia patients and controls.
Outcome: The proposed model improves classification performance in English and French separately.

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