Learning Functional Prepositions

In first language acquisition, what does it mean for a grammatical category to have been acquired, and what are the mechanisms by which children learn functional categories in general? In the context of prepositions (Ps), if the lexical/functional divide cuts through the P category, as has been suggested in the theoretical literature, then constructivist accounts of language acquisition would predict that children develop adult-like competence with the more abstract units, functional Ps, at a slower rate compared to their acquisition of lexical Ps. Nativists instead assume that the features of functional P are made available by Universal Grammar (UG), and are mapped as quickly, if not faster, than the semantic features of their lexical counterparts. Conversely, if Ps are either all lexical or all functional, on both accounts of acquisition we should observe few differences in learning. Three empirical studies of the development of P were conducted via computer analysis of the English and Spanish sub-corpora of the CHILDES database. Study 1 analyzed errors in child usage of Ps, finding almost no errors in commission in either language, but that the English learners lag in their production of functional Ps relative to lexical Ps. That no such delay was found in the Spanish data suggests that the English pattern is not universal. Studies 2 and 3 applied novel measures of phrasal (P head + nominal complement) productivity to the data. Study 2 examined prepositional phrases (PPs) whose head-complement pairs appeared in both child and adult speech, while Study 3 considered PPs produced by children that never occurred in adult speech. In both studies the productivity of Ps for English children developed faster than that of lexical Ps. In Spanish there were few differences, suggesting that children had already mastered both orders of Ps early in acquisition. These empirical results suggest that at least in English P is indeed a split category, and that children acquire the syntax of the functional subset very quickly, committing almost no errors. The UG position is thus supported. Next, the dissertation investigates a \u27soft nativist\u27 acquisition strategy that composes the distributional analysis of input, minimal a priori knowledge of the possible co-occurrence of morphosyntactic features associated with functional elements, and linguistic knowledge that is presumably acquired via the experience of pragmatic, communicative situations. The output of the analysis consists in a mapping of morphemes to the feature bundles of nominative pronouns for English and Spanish, plus specific claims about the sort of knowledge required from experience. The acquisition model is then extended to adpositions, to examine what, if anything, distributional analysis can tell us about the functional sequences of PPs. The results confirm the theoretical position according to which spatiotemporal Ps are lexical in character, rooting their own extended projections, and that functional Ps express an aspectual sequence in the functional superstructure of the PP

The \u3ci\u3eman\u3csub\u3ei\u3c/sub\u3e said she\u3csub\u3ei\u3c/sub\u3e would return\u3c/i\u3e: English pronominal gender in native Mandarin speaking learners, examined within a comprehensive theory of language acquisition

The project that led to this honors thesis was begun in the Fall semester of 2010, in a graduate-level psycholinguistics course taught by Dr. T. Daniel Seely. At that time, I was intensively studying Mandarin and had been living with a native speaker who was also in the process of learning English. The types of speech errors in her English, particularly the ones that appeared to have resulted from influence from her native Mandarin, interested me greatly. One of the most striking errors that she tended to make, however, was mis-matching English gender-marked pronouns with the gender of the referent. That is, she would frequently say things like The man driving the bus said she could bring me to Ann Arbor, or I love Lady Gaga, his style is so interesting

The birth of a word

Thesis (Ph. D.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2013.Cataloged from PDF version of thesis.Includes bibliographical references (p. 185-192).A hallmark of a child's first two years of life is their entry into language, from first productive word use around 12 months of age to the emergence of combinatorial speech in their second year. What is the nature of early language development and how is it shaped by everyday experience? This work builds from the ground up to study early word learning, characterizing vocabulary growth and its relation to the child's environment. Our study is guided by the idea that the natural activities and social structures of daily life provide helpful learning constraints. We study this through analysis of the largest-ever corpus of one child's everyday experience at home. Through the Human Speechome Project, the home of a family with a young child was outfitted with a custom audio-video recording system, capturing more than 200,000 hours of audio and video of daily life from birth to age three. The annotated subset of this data spans the child's 9-24 month age range and contains more than 8 million words of transcribed speech, constituting a detailed record of both the child's input and linguistic development. Such a comprehensive, naturalistic dataset presents new research opportunities but also requires new analysis approaches - questions must be operationalized to leverage the full scale of the data. We begin with the task of speech transcription, then identify "word births" - the child's first use of each word in his vocabulary. Vocabulary growth accelerates and then shows a surprising deceleration that coincides with an increase in combinatorial speech. The vocabulary growth timeline provides a means to assess the environmental contributions to word learning, beginning with aspects of caregiver input speech. But language is tied to everyday activity, and we investigate how spatial and activity contexts relate to word learning. Activity contexts, such as "mealtime", are identified manually and with probabilistic methods that can scale to large datasets. These new nonlinguistic variables are predictive of when words are learned and are complementary to more traditionally studied linguistic measures. Characterizing word learning and assessing natural input variables can lead to new insights on fundamental learning mechanisms.by Brandon Cain Roy.Ph.D