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Measuring linguistic complexity from a computational linguistics perspective| title | Measuring linguistic complexity from a computational linguistics perspective |
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| start_date | 2023/04/21 |
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| schedule | 14h-15h |
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| online | no |
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| location_info | Doyen -32 & visioconférence via le lien Teams |
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| summary | Linguistic complexity is a highly debated and multifaceted notion, for which several definitions have been proposed according to theories and empirical evidence acquired from different frameworks ‒ such as language acquisition, language typology, computational stylometry ‒ as well as according to the specific research purpose. By exploiting a computational linguistics perspective, in my talk I will present an approach to model linguistic complexity based on linguistic profiling as a methodological framework (Biber, 1993; Val Halteren, 2004 among others), and I will illustrate Profiling-UD (Brunato et al., 2020), a recently introduced tool that allows to carry out the linguistic profiling of a text for multiple languages sharing the same annotation formalism based on the Universal Dependencies representation (Nivre et al., 2015). A few case studies will be discussed in order to show how this approach has been successfully applied to track language learning development and to model the human perception of complexity. |
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| responsibles | Rolin |
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Workflow history| from state (1) | to state | comment | date |
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| submitted | published | | 2023/04/13 12:32 UTC |
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