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5
result(s) for
"Beaudouin, Mathieu"
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The Tangut verbal template from a cross-West Gyalrongic perspective
2025
The past decade has seen an increase in attention to Tangut, an extinct Sino-Tibetan language spoken by the rulers of the Western Xia xīxià 西夏 empire. The question of its classification has become a subject of discussion especially since the documentation of its closest relatives came to light recently. The present paper builds on the study of the Tangut verb template by Jacques (2011) to question the place of Tangut with regard to the Horpa languages (Beaudouin 2023b). By doing so, it identifies a phenomenon of attraction encompassing synchronic and diachronic analysis and proposes that verbal templatic morphology in West Gyalrongic is nuclear.
Journal Article
Non-past and past verb stems in Tangut
2025
Over the past decade, the documentation of Gyalrongic languages has shed light on grammatical phenomena which were poorly understood in Tangut, a language of critical importance in the field of Sino-Tibetan comparative linguistics. This paper provides an explanation for the last remaining unelucidated verbal alternation in Tangut ( -ɨ 1 /- i 2 ), which, as I will demonstrate, encodes a non-past/past distinction. By doing so, it also gives fresh arguments for placing Tangut and the Horpa languages together within one clade. Finally, methodologically speaking, it offers an example of grammatical reconstruction from above, i.e. employing sister languages to better understand the grammar of an extinct language through their common ancestor, revealing a rare example of complex distributional retention uncorrelated with regular phonetic correspondences. 1
Journal Article
Tangut and Horpa languages
2023
Fieldwork from the past decade has yielded new data from a cluster of languages in Western Sichuan (China), resulting in new observations relevant for the understanding of Tangut grammar. In this paper, I intend to present morphosyntactic evidence pointing to the Tangut language’s membership within the Horpa taxon, located within the larger Gyalrongic group of the Qiangic branch of Sino-Tibetan. Tangut exclusively shares with Horpa languages cognates that are far too peculiar to be the result of mere chance. By successively considering the verbal, nominal, and postpositional domains, the present paper highlights evidence that links Tangut to Horpa, while proposing new paths to the understanding of grammatical categories of Tangut proper, such as orientational/aspectual preverbs. 1
Journal Article
oaNon-past and past verb stems in Tangut
2025
Over the past decade, the documentation of Gyalrongic languages has shed light on grammatical phenomena which were poorly understood in Tangut, a language of critical importance in the field of Sino-Tibetan comparative linguistics. This paper provides an explanation for the last remaining unelucidated verbal alternation in Tangut (-ɨ1/-i2), which, as I will demonstrate, encodes a non-past/past distinction. By doing so, it also gives fresh arguments for placing Tangut and the Horpa languages together within one clade. Finally, methodologically speaking, it offers an example of grammatical reconstruction from above, i.e. employing sister languages to better understand the grammar of an extinct language through their common ancestor, revealing a rare example of complexdistributional retention uncorrelated with regular phonetic correspondences.
Journal Article
White Paper Machine Learning in Certified Systems
by
Delseny, Hervé
,
Chapdelaine, Camille
,
Beltran, Brice
in
Certification
,
Machine learning
,
Paper machines
2021
Machine Learning (ML) seems to be one of the most promising solution to automate partially or completely some of the complex tasks currently realized by humans, such as driving vehicles, recognizing voice, etc. It is also an opportunity to implement and embed new capabilities out of the reach of classical implementation techniques. However, ML techniques introduce new potential risks. Therefore, they have only been applied in systems where their benefits are considered worth the increase of risk. In practice, ML techniques raise multiple challenges that could prevent their use in systems submitted to certification constraints. But what are the actual challenges? Can they be overcome by selecting appropriate ML techniques, or by adopting new engineering or certification practices? These are some of the questions addressed by the ML Certification 3 Workgroup (WG) set-up by the Institut de Recherche Technologique Saint Exupéry de Toulouse (IRT), as part of the DEEL Project.