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Cette contribution s’intéresse aux co-constructions d’un tour de parole en interaction, plus spécifiquement, à la manière dont la complétion d’un énoncé de la part d’un co-participant est ensuite réceptionnée par le locuteur dont le tour a été complété. Malgré l’intérêt certain porté par l’analyse conversationnelle et la linguistique interactionnelle à la co-énonciation, l’évaluation de cette pratique par le premier locuteur n’a pas fait l’objet d’analyses approfondies. Dans ce qui suit, nous nous focalisons plus particulièrement sur les pratiques interactionnelles qui permettent aux participants de valider une co-construction. Ce travail est issu du projet ANR SPIM (« L’imitation dans la parole »), dans le cadre duquel nous nous sommes interrogée sur la fonction de l’hétéro-répétition (le fait de répéter un énoncé d’un autre locuteur ou une partie de celui-ci, opposée à l’auto- répétition) dans des séquences de co-construction d’un tour de parole.
Anaphora
(2014)
Annotating Spoken Language
(2014)
We continue the study of the reproducibility of Propp’s annotations from Bod et al. (2012). We present four experiments in which test subjects were taught Propp’s annotation system; we conclude that Propp’s system needs a significant amount of training, but that with sufficient time investment, it can be reliably trained for simple tales.
Antonomasie
(2014)
Assonanz
(2014)
Asyndeton
(2014)
Attizismus
(2014)
Automatic Food Categorization from Large Unlabeled Corpora and Its Impact on Relation Extraction
(2014)
We present a weakly-supervised induction method to assign semantic information to food items. We consider two tasks of categorizations being food-type classification and the distinction of whether a food item is composite or not. The categorizations are induced by a graph-based algorithm applied on a large unlabeled domain-specific corpus. We show that the usage of a domain-specific corpus is vital. We do not only outperform a manually designed open-domain ontology but also prove the usefulness of these categorizations in relation extraction, outperforming state-of-the-art features that include syntactic information and Brown clustering.
Feminine forms of job titles raise great interest in many countries. However, it is still unknown how they shape stereotypical impressions on warmth and competence dimensions among female and male listeners. In an experiment with fictitious job titles men perceived women described with feminine job titles as significantly less warm and marginally less competent than women with masculine job titles, which led to lower willingness to employ them. No such effects were observed among women.
Barbarismus
(2014)
In this paper, we present the concept and the results of two studies addressing (potential) users of monolingual German online dictionaries, such as www.elexiko.de. Drawing on the example of elexiko, the aim of those studies was to collect empirical data on possible extensions of the content of monolingual online dictionaries, e.g. the search function, to evaluate how users comprehend the terminology of the user interface, to find out which types of information are expected to be included in each specific lexicographic module and to investigate general questions regarding the function and reception of examples illustrating the use of a word. The design and distribution of the surveys is comparable to the studies described in the chapters 5-8 of this volume. We also explain, how the data obtained in our studies were used for further improvement of the elexiko-dictionary.