School for Advanced Studies in the Social Sciences

About: School for Advanced Studies in the Social Sciences is a facility organization based out in Villejuif, France. It is known for research contribution in the topics: Politics & Context (language use). The organization has 1230 authors who have published 2084 publications receiving 57740 citations. The organization is also known as: Ecole des Hautes Etudes en Sciences Sociales & EHESS.

Specificity in rehabilitation of word production: a meta-analysis and a case study

Abstract: Speech production impairment is a frequent deficit observed in aphasic patients and rehabilitation programs have been extensively developed. Nevertheless, there is still no agreement on the type of rehabilitation that yields the most successful outcomes. Here, we ran a detailed meta-analysis of 39 studies of word production rehabilitation involving 124 patients. We used a model-driven approach for analyzing each rehabilitation task by identifying which levels of our model each task tapped into. We found that (1) all rehabilitation tasks are not equally efficient and the most efficient ones involved the activation of the two levels of the word production system: the phonological output lexicon and the phonological output, and (2) the activation of the speech perception system as it occurs in many tasks used in rehabilitation is not successful in rehabilitating word production. In this meta-analysis, the effect of the activation of the phonological output lexicon and the phonological output cannot be assessed separately. We further conducted a rehabilitation study with DPI, a patient who suffers from a damage of the phonological output lexicon. Our results confirm that rehabilitation is more efficient, in terms of time and performance, when specifically addressing the impaired level of word production.

La especialización agrícola en la historia rural europea: recursos, mercados y espacios (siglos XVIII-XX)

Abstract: En el presente articulo se cuestiona la nocion de especializacion agricola a partir de los debates sobre las innovaciones tecnicas y el desarrollo socioeconomico rural entre los siglos XVIII y XX. Para ello, los autores se basan en los resultados de las investigaciones que han actualizado la historia rural europea durante las ultimas decadas y proponen tres posibles lecturas para entender como los cultivos y las actividades especializadas han transformado la organizacion de las explotaciones y de los territorios. En primer lugar, parten de la sintesis pionera de la historiadora Joan Thirsk sobre la agricultura alternativa para analizar las distintas maneras de describir y rechazar este fenomeno desde el punto de vista de la produccion. La segunda lectura se centra en el desarrollo de las redes comerciales, las cadenas de suministro y los sectores industriales concebidos, en cierta medida, para modelar la huella espacial de los sistemas especializados. En tercer lugar, y desde el punto de vista de estos sistemas, estudian las dinamicas contemporaneas de intensificacion productiva, racionalizacion tecnica y seleccion socioeconomica.

A Meta-Analytic Review of the Benefit of Spacing out Retrieval Practice Episodes on Retention

Abstract: Spaced retrieval practice consists of repetitions of the same retrieval event distributed through time. This learning strategy combines two “desirable difficulties”: retrieval practice and spacing effects. We carried out meta-analyses on 29 studies investigating the benefit of spacing out retrieval practice episodes on final retention. The total dataset was divided into two subsets to investigate two main questions: (1) Does spaced retrieval practice induce better memory retention than massed retrieval practice? (subset 1); (2) Is the expanding spacing schedule superior to the uniform spacing schedule when learning with retrieval practice? (subset 2). Using meta-regression with robust variance estimation, 39 effect sizes were aggregated in subset 1 and 54 in subset 2. Results from subset 1 indicated a strong benefit of spaced retrieval practice in comparison with massed retrieval practice (g = 0.74). Results from subset 2 indicated no significant difference between expanding and uniform spacing schedules of retrieval practice (g = 0.034). Moderator analyses on this subset showed that the number of exposures of an item during retrieval practice explains inconsistencies between studies: the more learners are tested, the more beneficial the expanding schedule is compared with the uniform one. Overall, these results support the advantage of spacing out the retrieval practice episodes on the same content, but do not support the widely held belief that inter-retrieval intervals should be progressively increased until a retention test.

What Homophones Say about Words

Abstract: The number of potential meanings for a new word is astronomic. To make the word-learning problem tractable, one must restrict the hypothesis space. To do so, current word learning accounts often incorporate constraints about cognition or about the mature lexicon directly in the learning device. We are concerned with the convexity constraint, which holds that concepts (privileged sets of entities that we think of as “coherent”) do not have gaps (if A and B belong to a concept, so does any entity “between” A and B). To leverage from it a linguistic constraint, learning algorithms have percolated this constraint from concepts, to word forms: some algorithms rely on the possibility that word forms are associated with convex sets of objects. Yet this does have to be the case: homophones are word forms associated with two separate words and meanings. Two sets of experiments show that when evidence suggests that a novel label is associated with a disjoint (non-convex) set of objects, either a) because there is a gap in conceptual space between the learning exemplars for a given word or b) because of the intervention of other lexical items in that gap, adults prefer to postulate homophony, where a single word form is associated with two separate words and meanings, rather than inferring that the word could have a disjunctive, discontinuous meaning. These results about homophony must be integrated to current word learning algorithms. We conclude by arguing for a weaker specialization of word learning algorithms, which too often could miss important constraints by focusing on a restricted empirical basis (e.g., non-homophonous content words).

Crowdsourcing Latin American Spanish for Low-Resource Text-to-Speech

Abstract: In this paper we present a multidialectal corpus approach for building a text-to-speech voice for a new dialect in a language with existing resources, focusing on various South American dialects of Spanish. We first present public speech datasets for Argentinian, Chilean, Colombian, Peruvian, Puerto Rican and Venezuelan Spanish specifically constructed with text-to-speech applications in mind using crowd-sourcing. We then compare the monodialectal voices built with minimal data to a multidialectal model built by pooling all the resources from all dialects. Our results show that the multidialectal model outperforms the monodialectal baseline models. We also experiment with a “zero-resource” dialect scenario where we build a multidialectal voice for a dialect while holding out target dialect recordings from the training data.