Papers by Alejandrina Cristia
Seshat: a Tool for Managing and Verifying Annotation Campaigns of Audio Data (2020.lrec-1)
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Hadrien Titeux, Rachid Riad, Xuan-Nga Cao, Nicolas Hamilakis, Kris Madden, Alejandrina Cristia, Anne-Catherine Bachoud-Lévi, Emmanuel Dupoux
| Challenge: | Seshat is a software for the automated management of annotation campaigns for audio/speech data. |
| Approach: | They propose a system for the automated management of annotation campaigns for audio/speech data which addresses these challenges. |
| Outcome: | The proposed system computes an associated inter-annotator agreement with the gamma measure taking into account the categorisation and segmentation discrepancies. |
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 . |