Funktionsverbgefüge als Idiomverbände

In usage-based Construction Grammar, grammatical structure is assumed to ‘sedimenl’ from concrete linguistic experience as an automatic by-product o f repeated similar categorisation judgments (a process known as schematisation). At the same time, there is functional pressure on prospective inputs to such schematisations to retain or develop specialised properties that differentiate them from their near neighbours, i.e. other stored units in the constructicon (Goldberg: 1995). Moreover, Speakers are not assumed to necessarily extract all possible generalisations from their input. Using the example o f a group of German support verb constructions, the present study outlines a corpus-linguistic approach to identifying those Schemas that really seem to be formed by Speakers, and how they can be kept apart from mere potential generalisations

Research-based learning in the linguistics classroom

The present paper discusses benefits and challenges of implementing classes with a focus on research-based learning (Healey 2005) into the linguistics curriculum. Having sketched relevant connections between research, teaching and learning, a concrete illustration of the approach in the context of applied linguistics is discussed. Strengths and weaknesses of the implementation are assessed and implications for curricular improvement are considered

Research-based learning in the linguistics classroom

The present paper discusses benefits and challenges of implementing classes with a focus on research-based learning (Healey 2005) into the linguistics curriculum. Having sketched relevant connections between research, teaching and learning, a concrete illustration of the approach in the context of applied linguistics is discussed. Strengths and weaknesses of the implementation are assessed and implications for curricular improvement are considered

Usage-based linguistics and conversational interaction. A case study of German motion verbs

Speakers’ linguistic experience is for the most part experience with language as used in conversational interaction. Though highly relevant for usage-based linguistics, the study of such data is as yet often left to other frameworks such as conversation analysis and interactional linguistics (Couper-Kuhlen and Selting 2001). On the basis of a case study of salient usage patterns of the two German motion verbs kommen and gehen in spontaneous conversation, the present paper argues for a methodological integration of quantitative corpus-linguistic methods with qualitative conversation analytic approaches to further the usage-based study of conversational interaction

From symbol grounding to socially shared embodied language knowledge

Much language-related research in cognitive robotics appeals to usage-based models of language as proposed in cognitive linguistics and developmental psychology [1, 2] that emphasise the significance of learning, embodiment and general cognitive development for human language acquisition. Over and above these issues, however, what takes centre stage in these theories are social-cognitive skills of “intention-reading” that are seen as “primary in the language acquisition process” [1] – and also as difficult to incorporate into computational models of language acquisition. The present paper addresses these concerns: we describe work in progress on a series of experiments that take steps towards closing the gap between ‘solipsistic’ symbol grounding in individual robotic agents and socially framed embodied language acquisition in learners that attend to common ground [3] with changing interlocutors

Embodied Language Learning and Cognitive Bootstrapping:Methods and Design Principles

Co-development of action, conceptualization and social interaction mutually scaffold and support each other within a virtuous feedback cycle in the development of human language in children. Within this framework, the purpose of this article is to bring together diverse but complementary accounts of research methods that jointly contribute to our understanding of cognitive development and in particular, language acquisition in robots. Thus, we include research pertaining to developmental robotics, cognitive science, psychology, linguistics and neuroscience, as well as practical computer science and engineering. The different studies are not at this stage all connected into a cohesive whole; rather, they are presented to illuminate the need for multiple different approaches that complement each other in the pursuit of understanding cognitive development in robots. Extensive experiments involving the humanoid robot iCub are reported, while human learning relevant to developmental robotics has also contributed useful results. Disparate approaches are brought together via common underlying design principles. Without claiming to model human language acquisition directly, we are nonetheless inspired by analogous development in humans and consequently, our investigations include the parallel co-development of action, conceptualization and social interaction. Though these different approaches need to ultimately be integrated into a coherent, unified body of knowledge, progress is currently also being made by pursuing individual methods

Constructional ‘scene encoding’ and acquisition: Mothers’ use of argument structure constructions in English child-directed speech

Construction-based language models assume that grammar is meaningful and learnable from experience. Focusing on five of the most elementary argument structure constructions of English, a large-scale corpus study of child-directed speech (CDS) investigates exactly which meanings/functions are associated with these patterns in CDS, and whether they are indeed specially indicated to children by their caretakers (as suggested by previous research, cf. Goldberg, Casenhiser and Sethuraman 2004). Collostructional analysis (Stefanowitsch and Gries 2003) is employed to uncover significantly attracted verb-construction combinations, and attracted pairs are classified semantically in order to systematise the attested usage patterns of the target constructions. The results indicate that the structure of the input may aid learners in making the right generalisations about constructional usage patterns, but such scaffolding is not strictly necessary for construction learning: not all argument structure constructions are coherently semanticised to the same extent (in the sense that they designate a single schematic event type of the kind envisioned in Goldberg’s [1995] ‘scene encoding hypothesis’), and they also differ in the extent to which individual semantic subtypes predominate in learners’ inpu

Lexical chunking effects in syntactic processing

Research on syntactic ambiguity resolution in language comprehension has shown that subjects' processing decisions are influenced by a variety of heterogeneous factors such as e.g., syntactic complexity, semantic fit and the discourse frequency of the competing structures. The present paper investigates a further potentially relevant factor in such processes: effects of syntagmatic lexical chunking (or matching to a complex memorized prefab) whose occurrence would be predicted from usage-based assumptions about linguistic categorisation. Focusing on the widely studied so-called DO/SC-ambiguity in which a post-verbal NP is syntactically ambiguous between a direct object and the subject of an embedded clause, potentially biasing collocational chunks of the relevant type are identified in a number of corpus-linguistic pretests and then investigated in a self-paced reading experiment. The results show a significant increase in processing difficulty from a collocationally neutral over a lexically biasing to a strongly biasing condition. This suggests that syntagmatically complex and partially schematic templates of the kind envisioned in usage-based Construction Grammar may impinge on speakers' online processing decisions during sentence comprehension