AndrA!s Kornai – författare

This work, first published in 1995, is primarily addressed to phonologists interested in speech and to speech engineers interested in phonology, two groups of people with very different expectations about what constitutes a convincing, rigorous study. The subject matter, the application of autosegmental theory for Markov modeling, is technical, but not really esoteric – autosegmental theory is at the core of contemporary phonology and Markov models are the main tool of speech recognition. Therefore, it is hoped that anyone interested in at least one of these two fields will be able to follow the presentation.

This work, first published in 1995, is primarily addressed to phonologists interested in speech and to speech engineers interested in phonology, two groups of people with very different expectations about what constitutes a convincing, rigorous study. The subject matter, the application of autosegmental theory for Markov modeling, is technical, but not really esoteric – autosegmental theory is at the core of contemporary phonology and Markov models are the main tool of speech recognition. Therefore, it is hoped that anyone interested in at least one of these two fields will be able to follow the presentation.

Mathematical Linguistics introduces the mathematical foundations of linguistics to computer scientists, engineers, and mathematicians interested in natural language processing. The book presents linguistics as a cumulative body of knowledge from the ground up: no prior knowledge of linguistics is assumed.

Previous textbooks in this area concentrate on syntax and semantics - this comprehensive volume covers an extremely rich array of topics also including phonology and morphology, probabilistic approaches, complexity, learnability, and the analysis of speech and handwriting.

As the first textbook of its kind, this book is useful for those in information science (information retrieval and extraction, search engines) and in natural language technologies (speech recognition, optical character recognition, HCI). Exercises suitable for the advanced reader are included, as well as suggestions for further reading and an extensive bibliography.

The focus of this textbook is the meaning of linguistic expressions, typically full sentences and longer texts. The author describes the conceptual and formal tools required for building semantic systems capable of understanding text, both for specific tasks such as information extraction and question answering and for broad undertakings such as the Semantic Web. The goal here is to present the fundamental ideas that working systems rest on, and this book is aimed primarily at Computer Science or Engineering students interested in developing semantic systems. The ideal reader is a hacker, a person who delights in having an intimate understanding of the internal workings of a system.

This book constitutes the proceedings of the 12th Biennial Meeting on Mathematics in Language, MOL 12, held in Nara, Japan, in September 2011.

Presented in this volume are 12 carefully selected papers, as well as the paper of the invited speaker Andreas Maletti. The papers cover such diverse topics as formal languages (string and tree transducers, grammar-independent syntactic structures, probabilistic and weighted context-free grammars, formalization of minimalist syntax), parsing and unification, lexical and compositional semantics, statistical language models, and theories of truth.