Linguistic Issues in Language Technology (LiLT) is an open-access journal that focuses on the relationships between linguistic insights and language technology. In conjunction with machine learning and statistical techniques, deeper and more sophisticated models of language and speech are needed to make significant progress in both existing and newly emerging areas of computational language analysis. The vast quantity of electronically accessible natural language data (text and speech, annotated and unannotated, formal and informal) provides unprecedented opportunities for data-intensive analysis of linguistic phenomena, which can in turn enrich computational methods. Taking an eclectic view on methodology, LiLT provides a forum for this work. In this volume, contributors offer new perspectives on semantic representations for textual inference.

This book presents the current state of experimental philosophy of language, drawing attention to corpus methods. The volume highlights new trends in experimental philosophy of language, thus exploring the future’s discipline. It includes cross-linguistics studies that reveal the differences and similarities in how speakers of different languages use specific terms, and scrutinizes methodological advances used in experimental philosophy of language. The book also includes politically engaged experimental philosophy of language studies focusing on slurs, pejoratives, and hate speech. The topic’s interdisciplinary nature makes the volume of interest to a broad range of scholars across disciplines including philosophy, linguistics, philology, psychology, and computational linguistics.

This book constitutes the refereed proceedings of the 9th Language and Technology Conference: Challenges for Computer Science and Linguistics, LTC 2019, held in Poznan, Poland, in May 2019. The 24 revised papers presented in this volume were carefully reviewed and selected from 67 submissions. The papers are categorized into the following topical sub-headings: Speech Processing; Language Resources and Tools; Computational Semantics; Emotions, Decisions and Opinions; Digital Humanities; Evaluation; and Legal Aspects.

This book constitutes the thoroughly refereed post-conference proceedings of the JSAI-isAI 2015 Workshops LENLS 12, JURISIN 9, AAA 2015, HAT-MASH 2015, TSDAA 2015, ASD-HR 2015, and SKL 2015, held in Kanagawa, Japan, in November 2015. The 39 regular papers presented in this volume were carefully reviewed and selected from 114 submissions. LENLS 12 (Logic and Engineering of Natural Language Semantics) is an annual international workshop on formal semantics and pragmatics and focused on discourse particles; disjunction; truth; copredication; expressive content; categorial grammar; dependent type semantics; sequent calculus; and various aspects of formal pragmatics. JURISIN 9 (Juris-Informatics) is the 9th event in the series. The purpose of this workshop is to discuss fundamental and practical issues such as law, social science, information and intelligent technology, logic and philosophy, including the conventional “AI and law” area. AAA 2015 (Argument for Agreement and Assurance) has the goal of deepening a mutual understanding and exploring a new research field involving researchers/practitioners in formal and informal logic, artificial intelligence, and safety engineering working on agreement and assurance through argument. HAT-MASH 2015 (Healthy Aging Tech Mashup Service, Data and People) provides a forum to discuss important research questions and practical challenges in healthy aging and elderly care support to promote transdisciplinary approaches. TSDAA 2015 (Workshop on Time Series Data Analysis and its Applications) aimes at providing an interdisciplinary forum for discussion of different approaches and techniques of time series data analysis and their implementation in various real life applications. ASD-HR 2015 (Autism Spectrum Disorders Using a Humanoid Robot) presents the studies in the interdisciplinary field of research including both engineering and medical sides. SKL 2015 (Skill Science) discusses the theoretical foundations of skill science as well as practical and engineering issues.