This book demonstrates how the underlying principles of the English-based FrameNet project are successfully applied to the description and analysis of typologically diverse languages. The stimulating collection of articles brings together insights from lexical semantics, corpus linguistics, computational lexicography, machine learning, and psychology to address three main questions: To what degree is it possible to apply semantic frames derived from the English lexicon to the description and analysis of other languages? What types of resources are necessary for the creation of FrameNets for French, German, Hebrew, Japanese, and Spanish? How can the creation of multi-lingual FrameNets be automated? The contents exemplifies the liveliness of current research on cross-lingual applications of Frame Semantics to natural language processing.

This book demonstrates how the underlying principles of the English-based FrameNet project are successfully applied to the description and analysis of typologically diverse languages. The stimulating collection of articles brings together insights from lexical semantics, corpus linguistics, computational lexicography, machine learning, and psychology to address three main questions: To what degree is it possible to apply semantic frames derived from the English lexicon to the description and analysis of other languages? What types of resources are necessary for the creation of FrameNets for French, German, Hebrew, Japanese, and Spanish? How can the creation of multi-lingual FrameNets be automated? The contentsexemplifies the liveliness of current research on cross-lingual applications of Frame Semantics to natural language processing.

Large computational lexicons are central NLP resources. Swedish FrameNet++ aims to be a versatile full-scale lexical resource for NLP containing many kinds of linguistic information. Although focused on Swedish, this ongoing effort, which includes building a new Swedish framenet and recycling existing lexicons, has offered valuable insights into general aspects of lexical-resource building for NLP, which are discussed in this book: computational and linguistic problems of lexical semantics and lexical typology, the nature of lexical items (words and multiword expressions), achieving interoperability among heterogeneous lexical content, NLP methods for extending and interlinking existing lexicons, and deploying the new resource in practical NLP applications. This book is targeted at everyone with an interest in lexicography, computational lexicography, lexical typology, lexical semantics, linguistics, computational linguistics and related fields. We believe it should be of particular interest to those who are or have been involved in language resource creation, development and evaluation.

Ruslan Mitkov's highly successful Oxford Handbook of Computational Linguistics has been substantially revised and expanded in this second edition. Alongside updated accounts of the topics covered in the first edition, it includes 17 new chapters on subjects such as semantic role-labelling, text-to-speech synthesis, translation technology, opinion mining and sentiment analysis, and the application of Natural Language Processing in educational and biomedical contexts, among many others. The volume is divided into four parts that examine, respectively: the linguistic fundamentals of computational linguistics; the methods and resources used, such as statistical modelling, machine learning, and corpus annotation; key language processing tasks including text segmentation, anaphora resolution, and speech recognition; and the major applications of Natural Language Processing, from machine translation to author profiling. The book will be an essential reference for researchers and students in computational linguistics and Natural Language Processing, as well as those working in related industries.

The practice of comparing languages has a long tradition characterized by a cyclic pattern of interest. Its meeting with corpus linguistics in the 1990s has led to a new sub-discipline of corpus-based contrastive studies. The present volume tackles two main challenges that had not yet been fully addressed in the literature, namely an empirical assessment of the nature of the data commonly used in cross-linguistic studies (e.g. translation data versus comparable data), and the development of advanced methods and statistical techniques suitably adapted to contrastive research settings. The papers collected in this volume endeavour to find out what (new) types of data are most useful for what kind of contrastive questions, and which advanced statistical techniques are most suited to deal with the multidimensionality of contrastive research questions. Answers to these questions are provided through the contrastive analysis of various language pairs or groups, and a wide variety of phenomena situated at almost all linguistic levels. In sum, this book provides an update on new methodological and theoretical insights in empirical contrastive linguistics and will stimulate further research within this field.

Large computational lexicons are central NLP resources. Swedish FrameNet++ aims to be a versatile full-scale lexical resource for NLP containing many kinds of linguistic information. Although focused on Swedish, this ongoing effort, which includes building a new Swedish framenet and recycling existing lexicons, has offered valuable insights into general aspects of lexical-resource building for NLP, which are discussed in this book: computational and linguistic problems of lexical semantics and lexical typology, the nature of lexical items (words and multiword expressions), achieving interoperability among heterogeneous lexical content, NLP methods for extending and interlinking existing lexicons, and deploying the new resource in practical NLP applications. This book is targeted at everyone with an interest in lexicography, computational lexicography, lexical typology, lexical semantics, linguistics, computational linguistics and related fields. We believe it should be of particular interest to those who are or have been involved in language resource creation, development and evaluation.

What can oral poetic traditions teach us about language and the human mind? Oral Poetics has produced insights relevant not only for the study of traditional poetry, but also for our general understanding of language and cognition: formulaic style as a product of rehearsed improvisation, the thematic structuring of traditional narratives, or the poetic use of features from everyday speech, among many others. The cognitive sciences have developed frameworks that are crucial for research on oral poetics, such as construction grammar or conversation analysis. The key for connecting the two disciplines is their common focus on usage and performance. This collection of papers explores how some of the latest research on language and cognition can contribute to advances in oral studies. At the same time, it shows how research on verbal art in its natural, oral medium can lead to new insights in semantics, pragmatics, or multimodal communication. The ultimate goal is to pave the way towards a Cognitive Oral Poetics, a new interdisciplinary field for the study or oral poetry as a window to the mind.