Computational and corpus linguistics

This book discusses the state of the art of automated essay scoring, its challenges and its potential.

This handbook is a comprehensive practical resource on corpus linguistics.

This book offers a comprehensive guide to reinforcement learning (RL) and bandits methods, specifically tailored for advancements in speech and language technology.

This book provides a broad and comprehensive overview of the existing technical approaches in the area of silent speech interfaces (SSI), both in theory and in application.

By contrasting different approaches and datasets, this book highlights critical developments in latest corpus-linguistic research.

The objective of this monograph is to improve the performance of the sentiment analysis model by incorporating the semantic, syntactic and common-sense knowledge.

This book is about a new approach in the field of computational linguistics related to the idea of constructing n-grams in non-linear manner, while the traditional approach consists in using the data from the surface structure of texts, i.

Embeddings have undoubtedly been one of the most influential research areas in Natural Language Processing (NLP).

A chatbot is expected to be capable of supporting a cohesive and coherent conversation and be knowledgeable, which makes it one of the most complex intelligent systems being designed nowadays.

Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language.

This volume will launch a discussion about the concept of intensionality in philosophy, logic, linguistics and mathematics.

Applying Natural Language Processing (NLP) concepts to help humans in their daily life, this book discusses an automatic translation of an unstructured Natural Language Question (NLQ) into a Structured Query Language (SQL) statement.

This book brings together scientists, researchers, practitioners, and students from academia and industry to present recent and ongoing research activities concerning the latest advances, techniques, and applications of natural language processing systems, and to promote the exchange of new ideas and lessons learned.

Computer parsing technology, which breaks down complex linguistic structures into their constituent parts, is a key research area in the automatic processing of human language.

This book offers a linguistic-semantic analysis of the expression 'Eastern Europe' in international English-language media discourse and academic discourse.

The next big area within the information and communication technology field is Artificial Intelligence (AI).

The two-volume set LNCS 13451 and 13452 constitutes revised selected papers from the CICLing 2019 conference which took place in La Rochelle, France, April 2019.

This book furthers the historical and technical debate by looking at reasoning as the action of language when it is devoted to explaining or foretelling, based on the authors' centennial combined experience in fuzzy logic.

Over the last few years, natural language processing has seen remarkable progress due to the emergence of larger-scale models, better training techniques, and greater availability of data.

This essay constitutes yet another approach to the fields of inquiry variously known as discourse analysis, discourse grammar, text grammar, functional 1 syntax, or text linguistics.

As online information grows dramatically, search engines such as Google are playing a more and more important role in our lives.

This is the first volume specifically dedicated to competition in inflection and word-formation, a topic that has increasingly attracted attention.

An accessible introduction to lexical structure and design, and the relation of the lexicon to grammar as a whole.

Implementing a novel method for identifying idiolectal co-selections, and taking the UNABOM investigation as a case study, this Pivot evaluates the effectiveness and reliability of using the web for forensic purposes.

This is an essential guide to using digital resources in the study of English language and linguistics.

This book teaches readers to integrate data analysis techniques into humanities research practices using the R programming language.

Communication is one of the most challenging human phenomena, and the same is true of its paradigmatic verbal realization as a dialogue.

In the late 1990s, AI witnessed an increasing use of the term 'argumentation' within its bounds: in natural language processing, in user interface design, in logic programming and nonmonotonic reasoning, in Al's interface with the legal community, and in the newly emerging field of multi-agent systems.

Data-Driven Techniques in Speech Synthesis gives a first review of this new field.

The two-volume set LNCS 10761 + 10762 constitutes revised selected papers from the CICLing 2017 conference which took place in Budapest, Hungary, in April 2017.

Introduces a formal theory of linguistic individuality, a perspective-changing framework moving the field towards more cognitively realistic methods of authorship analysis.

This book serves as a basic reference for thoseinterested in the application of metaheuristics to speech enhancement.

This book is based on publications from the ISCA Tutorial and Research Workshop on Multi-Modal Dialogue in Mobile Environments held at Kloster Irsee, Germany, in 2002.

One of the challenges brought on by the digital revolution of the recent decades is the mechanism by which information carried by texts can be extracted in order to access its contents.

The papers in this collection present the numeral systems of more than twenty Nigerian languages.

From an abundance of intensifiers to frequent repetition and parallelisms, Donald Trump's idiolect is highly distinctive from that of other politicians and previous Presidents of the United States.