Björn Wiemer

Axel Holvoet

Peter Arkadiev

This book is a collection of articles dealing with various aspects of the Baltic languages (Lithuanian, Latvian and Latgalian), which have only marginally featured in the discourse of theoretical linguistics and linguistic typology. The aim of the book is to bridge the gap between the study of the Baltic languages, on the one hand, and the current agenda of the theoretical and typological approaches to language, on the other. The book comprises 13 articles dealing with various aspects of phonology, morphology, syntax, semantics, lexicon, and their interactions, plus a lengthy introduction, whose aim is to outline the state of the art in the research on the Baltic languages. The contributions are data-driven, being based on field-work, corpus research, and data published in the sources not accessible to the general linguistic audience. On the other hand, all contributions are informed in the relevant contemporary linguistic theories and in the advances of linguistic typology. Some of the contributions aim at a more detailed, accurate and theoretically informed description of the data, others look at the Baltic material from a more theoretical point of view, still others assume an areal-typological or contact perspective.

Contemporary Approaches to Baltic Linguistics

Francesco Gardani

Nino Amiridze

By integrating novel developments in both contact linguistics and morphological theory, this volume pursues the topic of borrowed morphology by recourse to sophisticated theoretical and methodological accounts. The authors address fundamental issues, such as the alleged universal dispreference for morphological borrowing and its effects on morphosyntactic complexity, and corroborate their analyses with strong cross-linguistic evidence.

Borrowed Morphology

This volume explores the multiple aspects of morphological complexity, offering typological, acquisitional, sociolinguistic, and diachronic perspectives. The analyses are based on rich empirical data from a wide range of languages, as well as experimental data from artificial language learning.

Peter Arkadiev

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