Papers by François Delafontaine
Automatic Period Segmentation of Oral French (2020.lrec-1)
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| Challenge: | Analor is a semi-automatic tool for speech segmentation in periods but it only takes into account prosodic characteristics of speech. |
| Approach: | They propose to use a Fribourg model of macro-syntax to detect periods in syntactic and prosodic terms to develop an automatic tool for automatic segmentation of linguistic units. |
| Outcome: | The proposed tool is compared with an existing tool Analor which divides speech into smaller segments and that CRF models detect larger segments rather than macro-syntactic periods. |
Building a Time-Aligned Cross-Linguistic Reference Corpus from Language Documentation Data (DoReCo) (2020.lrec-1)
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Ludger Paschen, François Delafontaine, Christoph Draxler, Susanne Fuchs, Matthew Stave, Frank Seifart
| Challenge: | Temporal patterns of speech are of central interest in the cognitive sciences as they provide key evidence for the architecture underlying the human language production system. |
| Approach: | They propose to provide time-aligned transcriptions for at least 50 collections of under-resourced languages by standardizing formats and conventions and adding segmental alignments with WebMAUS. |
| Outcome: | The proposed solution bridges the gap between language documentation and linguistic inquiry by providing time-aligned transcriptions for at least 50 collections of under-resourced languages. |