14 research outputs found

    Exploring automatic text-to-sign translation in a healthcare setting

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    Communication between healthcare professionals and deaf patients has been particularly challenging during the COVID-19 pandemic. We have explored the possibility to automatically translate phrases that are frequently used in the diagnosis and treatment of hospital patients, in particular phrases related to COVID-19, from Dutch or English to Dutch Sign Language (NGT). The prototype system we developed displays translations either by means of pre-recorded videos featuring a deaf human signer (for a limited number of sentences) or by means of animations featuring a computer-generated signing avatar (for a larger, though still restricted number of sentences). We evaluated the comprehensibility of the signing avatar, as compared to the human signer. We found that, while individual signs are recognized correctly when signed by the avatar almost as frequently as when signed by a human, sentence comprehension rates and clarity scores for the avatar are substantially lower than for the human signer. We identify a number of concrete limitations of the JASigning avatar engine that underlies our system. Namely, the engine currently does not offer sufficient control over mouth shapes, the relative speed and intensity of signs in a sentence (prosody), and transitions between signs. These limitations need to be overcome in future work for the engine to become usable in practice.</p

    Drought tolerance of land races of emmer wheat in comparison to soft wheat

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    As water deficiency becomes a more frequent cause of the reduction in wheat yield levels, the search for donors of drought tolerance to be bred into adapted land races becomes urgent. Drought tolerance has been evaluated by the 13 C discrimination method in six land races of emmer wheat ( Triticum dicoccum SCHRANK), compared with land races, obsolete cultivars and modern varieties of soft wheat ( Triticum aestivum L.). The results of a two-year trial show that most of the genetic resources of emmer wheat, and intermediate land races of wheat are predisposed to drought tolerance. These varieties respond to dry conditions more sensitively, as they close their pores earlier (a lower value of the discrimination of 13 C isotope). As for other land races and the top modern varieties of soft wheat, they are not thought to be predisposed to drought tolerance and their crop stands are liable to serious damage

    Gather/numerous as a mass/count opposition

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    International audiencePredicates like gather and be numerous have both been described as 'collective predicates,' since they predicate something of a plurality. The two classes of predicates differ, however, with respect to plural quantifiers (e.g. all), which are grammatical with gather-type predicates but ungrammatical with numerous-type predicates. Here, I show that the gather/numerous opposition derives from mereological properties that are familiar from the domains of telicity and mass/count. I address problems of undergeneration and overgeneration with two technical innovations: first, I weaken the property of divisibility to Champollion's (2015) property of stratified reference; second, I provide mechanisms to rule out accidental satisfaction of the logical property. From a broader perspective, we place collective predication in a larger context by building empirical connections to mass/count and collectivity across semantic domains
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