Language Science And Structure

This book presents an in-depth description of information structure in Isthmus Zapotec, an Otomanguean language spoken by around 50,000 people in southeastern Oaxaca, Mexico, and represents the first book-length treatment of information structure in a Mesoamerican language. Three main observations motivate the study: Strong documentation and a relatively large and active speaker community create a unique opportunity to document information structure in Isthmus Zapotec and to study the language as it is used by speakers in everyday life;As a tonal and verb-initial language, the examination of Isthmus Zapotec represents a chance to explore the possible combinations of tone, intonation, morphology and verb-initial syntax that may occur in the coding of information structure; andThe close analysis of spontaneous speech in an endangered language contributes to our theoretical understanding of information structure and informs our knowledge of language documentation practices and revitalization efforts. Overall, the analysis presented here demonstrates the value and need for information structure studies to document and analyze naturally-occurring data.

What is a language? What do scientific grammars tell us about the structure of individual languages and human language in general? What kind of science is linguistics? These and other questions are the subject of Ryan M. Nefdt's Language, Science, and Structure. Linguistics presents a unique and challenging subject matter for the philosophy of science. As a special science, its formalisation and naturalisation inspired what many consider to be a scientific revolution in the study of mind and language. Yet radical internal theory change, multiple competing frameworks, and issues of modelling and realism have largely gone unaddressed in the field. Nefdt develops a structural realist perspective on the philosophy of linguistics which aims to confront the aforementioned topics in new ways while expanding the outlook toward new scientific connections and novel philosophical insights. On this view, languages are real patterns which emerge from complex biological systems. Nefdt's exploration of this novel view will be especially valuable to those working in formal and computational linguistics, cognitive science, and the philosophies of science, mathematics, and language.

This book focuses on the role size plays in grammar. Under the umbrella term size fall the size of syntactic projections, the size of feature content, and the size of reference sets. The contributions in this first volume discuss size and structure building. The most productive research program in syntax where size plays a central role revolves around clausal complements. Part 1 of Volume I contributes to this program with papers that argue for particular structures of clausal complements, as well as papers that employ sizes of clausal complements to account for other phenomena. The papers in Part 2 of this volume explore the interaction between size and structure building beyond clausal complements, including phenomena in CP, vP, and NP domains. The contributions cover a variety of languages, many of which are understudied. The book is complemented by Volume II which discusses size effects in movement, agreement, and interpretation.

Research in linguistics, as in most other scientific domains, is usually approached in a modular way – narrowing the domain of inquiry in order to allow for increased depth of study. This is necessary and productive for a topic as wide-ranging and complex as human language. However, precisely because language is a complex system, tied to perception, learning, memory, and social organization, the assumption of modularity can also be an obstacle to understanding language at a deeper level. This book examines the consequences of enforcing non-modularity along two dimensions: the temporal, and the cognitive. Along the temporal dimension, synchronic and diachronic domains are linked by the requirement that sound changes must lead to viable, stable language states. Along the cognitive dimension, sound change and variation are linked to speech perception and production by requiring non-trivial transformations between acoustic and articulatory representations. The methodological focus of this work is on computational modeling. By formalising and implementing theoretical accounts, modeling can expose theoretical gaps and covert assumptions. To do so, it is necessary to formally assess the functional equivalence of specific implementational choices, as well as their mapping to theoretical structures. This book applies this analytic approach to a series of implemented models of sound change. As theoretical inconsistencies are discovered, possible solutions are proposed, incrementally constructing a set of sufficient properties for a working model. Because internal theoretical consistency is enforced, this model corresponds to an explanatorily adequate theory. And because explicit links between modules are required, this is a theory, not only of sound change, but of many aspects of phonological competence. The book highlights two aspects of modeling work that receive relatively little attention: the formal mapping from model to theory, and the scalability of demonstration models. Focusing on these aspects of modeling makes it clear that any theory of sound change in the specific is impossible without a more general theory of language: of the relationship between perception and production, the relationship between phonetics and phonology, the learning of linguistic units, and the nature of underlying representations. Theories of sound change that do not explicitly address these aspects of language are making tacit, untested assumptions about their properties. Addressing so many aspects of language may seem to complicate the linguist's task. However, as this book shows, it actually helps impose boundary conditions of ecological validity that reduce the theoretical search space.

Head-Driven Phrase Structure Grammar (HPSG) is a constraint-based or declarative approach to linguistic knowledge, which analyses all descriptive levels (phonology, morphology, syntax, semantics, pragmatics) with feature value pairs, structure sharing, and relational constraints. In syntax it assumes that expressions have a single relatively simple constituent structure. This volume provides a state-of-the-art introduction to the framework. Various chapters discuss basic assumptions and formal foundations, describe the evolution of the framework, and go into the details of the main syntactic phenomena. Further chapters are devoted to non-syntactic levels of description. The book also considers related fields and research areas (gesture, sign languages, computational linguistics) and includes chapters comparing HPSG with other frameworks (Lexical Functional Grammar, Categorial Grammar, Construction Grammar, Dependency Grammar, and Minimalism).

The syllable is a natural unit of organization in spoken language whose strongest cross-linguistic patterns are often explained in terms of a universal preference for the CV structure. Syllable patterns involving long sequences of consonants are both typologically rare and theoretically marginalized, with few approaches treating these as natural or unproblematic structures. This book is an investigation of the properties of languages with highly complex syllable patterns. The two aims are (i) to establish whether these languages share other linguistic features in common such that they constitute a distinct linguistic type, and (ii) to identify possible diachronic paths and natural mechanisms by which these patterns come about in the history of a language. These issues are investigated in a diversified sample of 100 languages, 25 of which have highly complex syllable patterns. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

Current language technology is dominated by approaches that either enumerate a large set of rules, or are focused on a large amount of manually labelled data. The creation of both is time-consuming and expensive, which is commonly thought to be the reason why automated natural language understanding has still not made its way into “real-life” applications yet. This book sets an ambitious goal: to shift the development of language processing systems to a much more automated setting than previous works. A new approach is defined: what if computers analysed large samples of language data on their own, identifying structural regularities that perform the necessary abstractions and generalisations in order to better understand language in the process? After defining the framework of Structure Discovery and shedding light on the nature and the graphic structure of natural language data, several procedures are described that do exactly this: let the computer discover structures without supervision in order to boost the performance of language technology applications. Here, multilingual documents are sorted by language, word classes are identified, and semantic ambiguities are discovered and resolved without using a dictionary or other explicit human input. The book concludes with an outlook on the possibilities implied by this paradigm and sets the methods in perspective to human computer interaction. The target audience are academics on all levels (undergraduate and graduate students, lecturers and professors) working in the fields of natural language processing and computational linguistics, as well as natural language engineers who are seeking to improve their systems.