The theory of formal languages is one of the oldest branches of theoretical computer science. Its original aim (in the fifties and sixties) was to clarify the laws and algorithms that underlie the definition and compilation of programming languages. Since then, formal language theory has changed very much. Today it includes mathematical topics like combinatorics of words, word equations, and coding theory, but it also covers connections to linguistics (for example, the study of contextual grammars), new computational paradigms (like DNA computing), and a wide range of applications, among them hypertext processing, database theory, and formal program verification. Many of these themes of modern formal language theory are represented in this volume.

Formal Languages and Applications provides a comprehensive study-aid and self-tutorial for graduates students and researchers. The main results and techniques are presented in an readily accessible manner and accompanied by many references and directions for further research. This carefully edited monograph is intended to be the gateway to formal language theory and its applications, so it is very useful as a review and reference source of information in formal language theory.

This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition, MLDM 2001, held in Leipzig, Germany in July 2001. The 26 revised full papers presented together with two invited papers were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in topical sections on case-based reasoning and associative memory; rule induction and grammars; clustering and conceptual clustering; data mining on signals, images, and spatio-temporal data; nonlinear function learning and neural net based learning; learning for handwriting recognition; statistical and evolutionary learning; and content-based image retrieval.

This book constitutes the proceedings of the 26th International Conference on Developments in Language Theory, DLT 2022, which was held in Tampa, FL, USA, during May, 2022. The conference took place in an hybrid format with both in-person and online participation. The 21 full papers included in these proceedings were carefully reviewed and selected from 32 submissions. The DLT conference series provides a forum for presenting current developments in formal languages and automata.

This book constitutes the refereed proceedings of the 8th International Conference on Developments in Language Theory, DLT 2004, held in Auckland, New Zealand in December 2004. The 30 revised full papers presented together with 5 invited papers were carefully reviewed and selected from 47 submissions. The main subjects are formal languages, automata, conventional and unconventional computation theory, and applications of automata theory. Among the topics addressed are grammars and acceptors for strings, graphs, and arrays; efficient text algorithms, combinatorial and algebraic properties of languages; decision problems; relations to complexity theory and logic; picture description and analysis; cryptography; concurrency; DNA computing; and quantum computing.

This book constitutes the proceedings of the 24th International Conference on Developments in Language Theory, DLT 2020, which was due to be held in Tampa, Florida, USA, in May 2020. The conference was cancelled due to the COVID-19 pandemic. The 24 full papers presented were carefully reviewed and selected from 38 submissions. The papers present current developments in language theory, formal languages, automata theory and related areas, such as algorithmic, combinatorial, and algebraic properties of words and languages, cellular automata, algorithms on words, etc.