Lost but not erased: Finding traces of a forgotten language in neural speech models
International adoptees retain phonological traces of a birth language they can no longer speak or comprehend, a persistence typically attributed to a biologically-timed critical period. We asked whether it could instead reflect the ordinary dynamics of learning, using automatic speech recognition models that simulate the international adoptee experience without maturational confounds. Models were trained on one language and then abruptly switched to a second. We found that traces of the first language persisted throughout second-language training, but mainly in the lowest, pre-phonemic layers.
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- LinkedLinked via arxiv author · 85%Peter Plantinga →
“Lost but not erased: Finding traces of a forgotten language in neural speech models”
- LinkedLinked via arxiv author · 85%Charlotte Moore →
“Lost but not erased: Finding traces of a forgotten language in neural speech models”
- LinkedLinked via arxiv author · 85%Peter W. Donhauser →
“Lost but not erased: Finding traces of a forgotten language in neural speech models”
- LinkedLinked via arxiv author · 85%Krista Byers-Heinlein →
“Lost but not erased: Finding traces of a forgotten language in neural speech models”
- LinkedLinked via arxiv author · 85%Denise Klein →
“Lost but not erased: Finding traces of a forgotten language in neural speech models”