Papers with cross-linguistically robust algorithms

1 papers
Is Word Segmentation Child’s Play in All Languages? (P19-1)

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Challenge: Existing word learning strategies for infants are cross-linguistically robust . infants do not know which language(s) will be found in their environment at the beginning of development .
Approach: They propose to use 11 conceptually diverse algorithms to learn word-like units in infants . they propose to employ cross-linguistically robust algorithms that can be used by all infants.
Outcome: The proposed algorithms perform above chance on 8 different languages . the results show that some of the algorithms are cross-linguistically valid .

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