Subjective confidence influences word learning in a cross-situational statistical learning task

International audienceLearning is often accompanied by a subjective sense of confidence in one’s knowledge, a feeling of knowing what you know and how well you know it. Subjective confidence has been shown to guide learning in other domains, but has received little attention so far in the word learning literature. Across three word learning experiments, we investigated whether and how a sense of confidence in having acquired a word meaning influences the word learning process itself. First, we show evidence for a confirmation bias during word learning in a cross-situational statistical learning task: Learners who are highly confident they know the meaning of a word are more likely to persist in their belief than learners who are not, even after observing objective evidence disconfirming their belief. Second, we show that subjective confidence in a word meaning modulates inferential processes based on that word, affecting learning over the whole lexicon: Learners who hold high confidence in a word meaning are more likely to use that word to make mutual exclusivity inferences about the meaning of other words. We conclude that confidence influences word learning by modulating both information selection processes and inferential processes and discuss the implications of these results for word learning models

Word forms are structured for efficient use

Zipf famously stated that, if natural language lexicons are structured for efficient communication, the words that are used the most frequently should require the least effort. This observation explains the famous finding that the most frequent words in a language tend to be short. A related prediction is that, even within words of the same length, the most frequent word forms should be the ones that are easiest to produce and understand. Using orthographics as a proxy for phonetics, we test this hypothesis using corpora of 96 languages from Wikipedia. We find that, across a variety of languages and language families and controlling for length, the most frequent forms in a language tend to be more orthographically well‐formed and have more orthographic neighbors than less frequent forms. We interpret this result as evidence that lexicons are structured by language usage pressures to facilitate efficient communication. Keywords: Lexicon; Word frequency; Phonology; Communication; EfficiencyNational Science Foundation (Grant ES/N0174041/1

Learning homophones in context:Easy cases are favored in the lexicon of natural languages

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Words cluster phonetically beyond phonotactic regularities

Recent evidence suggests that cognitive pressures associated with language acquisition and use could affect the organization of the lexicon. On one hand, consistent with noisy channel models of language (e.g., Levy, 2008), the phonological distance between wordforms should be maximized to avoid perceptual confusability (a pressure for dispersion). On the other hand, a lexicon with high phonological regularity would be simpler to learn, remember and produce (e.g., Monaghan et al., 2011) (a pressure for clumpiness). Here we investigate wordform similarity in the lexicon, using measures of word distance (e.g., phonological neighborhood density) to ask whether there is evidence for dispersion or clumpiness of wordforms in the lexicon. We develop a novel method to compare lexicons to phonotactically-controlled baselines that provide a null hypothesis for how clumpy or sparse wordforms would be as the result of only phonotactics. Results for four languages, Dutch, English, German and French, show that the space of monomorphemic wordforms is clumpier than what would be expected by the best chance model according to a wide variety of measures: minimal pairs, average Levenshtein distance and several network properties. This suggests a fundamental drive for regularity in the lexicon that conflicts with the pressure for words to be as phonologically distinct as possible. Keywords: Linguistics; Lexical design; Communication; Phonotactic

Construire un lexique ambigu

Modern cognitive science of language concerns itself with (at least) two fundamental questions: how do humans learn language? —the learning problem —and why do the world’s languages exhibit some properties and not others? —the typology problem. In this dissertation, I attempt to link these two questions by looking at the lexicon, the set of word-forms and their associated meanings, and ask why do lexicons look the way they are? And can the properties exhibited by the lexicon be (in part) explained by the way children learn their language? One striking observation is that the set of words in a given language is highly ambiguous and confusable. Words may have multiple senses (e.g., homonymy, polysemy) and are represented by an arrangement of a finite set of sounds that potentially increase their confusability (e.g., minimal pairs). Lexicons bearing such properties present a problem for children learning their language who seem to have difficulty learning similar sounding words and resist learning words having multiple meanings. Using lexical models and experimental methods in toddlers and adults, I present quantitative evidence that lexicons are, indeed, more confusable than what would be expected by chance alone. I then present empirical evidence suggesting that toddlers have the tools to bypass these problems given that ambiguous or confusable words are constrained to appear in distinct context. Finally, I submit that the study of ambiguous words reveal factors that were currently missing from current accounts of word learning. Taken together this research suggests that ambiguous and confusable words, while present in the language, may be restricted in their distribution in the lexicon and that these restrictions reflect (in part) how children learn languages.Il y a (au moins) deux questions fondamentales que l’on est amené à se poser lorsqu’on étudie le langage: comment acquiert-on le langage? —le problème d’apprentissage —et pourquoi les langues du monde partagent certaines propriétés mais pas d’autres? —le problème typologique. Dans cette thèse, j’entreprends de relier ces deux domaines en me focalisant sur le lexique, l’ensemble des mots de notre langue et leur sens associés, en posant les questions suivantes: pourquoi le lexique est-il tel qu’il est? Et est-ce que les propriétés du lexique peuvent être (en partie) expliquées par la façon dont les enfants apprennent leur langue? Un des aspects les plus frappants du lexique est que les mots que nous utilisons sont ambigus et peuvent être confondus facilement avec d’autres. En effet, les mots peuvent avoir plusieurs sens (par exemple, les homophones) et sont représentés par un ensemble limité de sons qui augmentent la possibilité qu’ils soient confondus (par exemple, les paires minimales). L’existence de ces mots semble présenter un problème pour les enfants qui apprennent leur langue car il a été montré qu’ils ont des difficultés à apprendre des mots dont les formes sonores sont proches et qu’ils résistent à l’apprentissage des mots ayant plusieurs sens. En combinant une approche computationnelle et expérimentale, je montre, quantitativement, que les mots du lexique sont, en effet, plus similaires que ce qui serait attendu par chance, et expérimentalement, que les enfants n’ont aucun problème à apprendre ces mots à la condition qu’ils apparaissent dans des contextes suffisamment distincts. Enfin, je propose que l’étude des mots ambigus permet de révéler des éléments importants du mécanisme d’apprentissage du langage qui sont actuellement absents des théories actuelles. Cet ensemble d’études suggère que les mots ambigus et les mots similaires, bien que présents dans le langage, n’apparaissent pas arbitrairement dans le langage et que leur organisation reflète (en partie) la façon dont les enfants apprennent leur langue

Cross-situational word learning in the right situations.

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