Papers by Géraldine Walther
Mandarin classifier systems optimize to accommodate communicative pressures (2023.findings-emnlp)
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| Challenge: | Existing studies suggest that gendered languages are inherently optimized to accommodate communicative pressures on language learning and processing. |
| Approach: | They propose to use grammatical or probabilistic modifiers to smooth the entropy of nouns in context to find the same frequency, similarity, and co-occurrence interactions that structure gender systems. |
| Outcome: | The proposed noun classification device is sensitive to frequency, similarity, and co-occurrence interactions that structure gender systems. |
UniMorph 2.0: Universal Morphology (L18-1)
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Christo Kirov, Ryan Cotterell, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Patrick Xia, Manaal Faruqui, Sabrina J. Mielke, Arya McCarthy, Sandra Kübler, David Yarowsky, Jason Eisner, Mans Hulden
| Challenge: | The Universal Morphology project is a collaborative effort to improve how NLP handles complex morphology across the world's languages. |
| Approach: | They propose to use a universal tagset to annotate morphological data using a schema that includes a lemma and a bundle of morphology features. |
| Outcome: | The project releases annotated morphological data using a universal tagset, the UniMorph schema. |