A lexical approach to laughter classification: Natural language distinguishes six (classes of) formal characteristics (original) (raw)
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Multi-layered analysis of laughter
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The study of human nonverbal social behaviors has taken a more quantitative and computational approach in recent years due to the development of smart interfaces and virtual agents or robots able to interact socially. One of the most interesting nonverbal social behaviors, producing a characteristic vocal signal, is laughing. Laughter is produced in several different situations: in response to external physical, cognitive, or emotional stimuli; to negotiate social interactions; and also, pathologically, as a consequence of neural damage. For this reason, laughter has attracted researchers from many disciplines. A consequence of this multidisciplinarity is the absence of a holistic vision of this complex behavior: the methods of analysis and classification of laughter, as well as the terminology used, are heterogeneous; the findings sometimes contradictory and poorly documented. This survey aims at collecting and presenting objective measurement methods and results from a variety of different studies in different fields, to contribute to build a unified model and taxonomy of laughter. This could be successfully used for advances in several fields, from artificial intelligence and human-robot interaction to medicine and psychiatry.
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This paper builds on a novel methodology of lexical semantics exemplified on lexical field theory by using several translations of Ken Kesey's One Flew Over the Cuckoo's Nest. The present study, a large-scale collaboration, presents and compares the results for laugh, smile, grin, giggle, and other words for laughter behaviors across 14 languages and in extensive detail. The key results answer the question of what semantic dimensions the vocabularies of the various languages distinguish as marked by lexical contrasts and can inform future research in humor as well as translation studies. Based on our findings, a key marking emerges for audible (e.g., laugh) versus non-audible (e.g., smile) behaviors, as Indo-European vocabularies treat smiling as a less marked variant of laughing, e.g., German lächeln, Italian sorridere, Polish uśmiech, Turkish gülüm, but further orthogonal dimensions are documented as well, for example, aggressive, concealed, loud, or suppressed behavior. An updated hierarchy of these semantic features is proposed, and the results are presented in graphic visualizations, which also help illustrate idiosyncrasies of individual languages that go against the general trends. Exceptions to these general trends include lemmata that can cover both audible and inaudible behavior
HUMOR
This paper builds on a novel methodology of lexical semantics exemplified on lexical field theory by using several translations of Ken Kesey’s One Flew Over the Cuckoo’s Nest. The present study, a large-scale collaboration, presents and compares the results for laugh, smile, grin, giggle, and other words for laughter behaviors across 14 languages and in extensive detail. The key results answer the question of what semantic dimensions the vocabularies of the various languages distinguish as marked by lexical contrasts and can inform future research in humor as well as translation studies. Based on our findings, a key marking emerges for audible (e.g., laugh) versus non-audible (e.g., smile) behaviors, as Indo-European vocabularies treat smiling as a less marked variant of laughing, e.g., German lächeln, Italian sorridere, Polish uśmiech, Turkish gülüm, but further orthogonal dimensions are documented as well, for example, aggressive, concealed, loud, or suppressed behavior. An update...