Naturligt sprog og maskinoversættelse

Edited in collaboration with FoLLI, the Association of Logic, Language and Information this book constitutes the refereed proceedings of the 28th Workshop on Logic, Language, Information and Computation, WoLLIC 2022, Iasi, Romania, in September 2022. The 25 full papers presented included with 8 extra abstracts, 5 invited talks and 3 tutorials were fully reviewed and selected from 46 submissions. The conference aims fostering interdisciplinary research in pure and applied logic.

This work presents a discourse-aware Text Simplification approach that splits and rephrases complex English sentences within the semantic context in which they occur. Based on a linguistically grounded transformation stage, complex sentences are transformed into shorter utterances with a simple canonical structure that can be easily analyzed by downstream applications. To avoid breaking down the input into a disjointed sequence of statements that is difficult to interpret, the author incorporates the semantic context between the split propositions in the form of hierarchical structures and semantic relationships, thus generating a novel representation of complex assertions that puts a semantic layer on top of the simplified sentences. In a second step, she leverages the semantic hierarchy of minimal propositions to improve the performance of Open IE frameworks. She shows that such systems benefit in two dimensions. First, the canonical structure of the simplified sentences facilitates the extraction of relational tuples, leading to an improved precision and recall of the extracted relations. Second, the semantic hierarchy can be leveraged to enrich the output of existing Open IE approaches with additional meta-information, resulting in a novel lightweight semantic representation for complex text data in the form of normalized and context-preserving relational tuples.

Advances in Graph based Natural Language Processing (NLP) and Information Retrieval (IR) tasks have shown the importance of processing Graph of Words.

This book constitutes the refereed proceedings of the 20th International Conference on Formal Modeling and Analysis of Timed Systems, FORMATS 2022, held in Warsaw, Poland, in September 2022. The 12 full papers together with 2 short papers that were carefully reviewed and selected from 30 submissions are presented in this volume with 3 full-length papers associated with invited/anniversary talks. The papers focus on topics such as modelling, design and analysis of timed computational systems. The conference aims in real-time issues in hardware design, performance analysis, real-time software, scheduling, semantics and verification of real-timed, hybrid and probabilistic systems.

This book constitutes the refereed proceedings of the 13th International Conference of the CLEF Association, CLEF 2022, held in Bologna, Italy in September 2022.The conference has a clear focus on experimental information retrieval with special attention to the challenges of multimodality, multilinguality, and interactive search ranging from unstructured to semi structures and structured data.The 7 full papers presented together with 3 short papers in this volume were carefully reviewed and selected from 14 submissions. This year, the contributions addressed the following challenges: authorship attribution, fake news detection and news tracking, noise-detection in automatically transferred relevance judgments, impact of online education on children's conversational search behavior, analysis of multi-modal social media content, knowledge graphs for sensitivity identification, a fusion of deep learning and logic rules for sentiment analysis, medical concept normalization and domain-specific information extraction.In addition to this, the volume presents 7 "e;best of the labs"e; papers which were reviewed as full paper submissions with the same review criteria. 14 lab overview papers were accepted and represent scientific challenges based on new datasets and real world problems in multimodal and multilingual information access.

27 bidrag indvier os i kunsten at oversætte, især skønlitteratur, primært til dansk ‒ og belyser det danske sprogs rolle i udlandet, historisk og kulturelt. Nogle af vores bedste oversættere præsenterer mange praktiske og teoretiske overvejelser. Hvordan kan man bedst være tro mod originalteksten uden at oversætte ordret? Hvad skal en litterær oversætter kunne? Er maskinoversættelse blevet en allieret med et tveægget sværd? Foruden retstolkning, tegnsprog og kunstsprog kommer antologien omkring en halv snes nære og fjerne sprog fra oldtiden til det 21. århundrede og deres indflydelse på dansk.Klaus Rifbjerg: O, den vejLars Bonnevie: Oversætterens dilemmaerPeter Poulsen: Oversætterens anmærkningerSusanne Bernstein: Den finurlige proces med at oversætte til danskNiels Brunse: Buddenbrooks i dansk perspektivHans Christian Fink: En rejse i sprogetViggo Hjørnager Pedersen: Knap så sødt og velsignet – H.C. Andersen i engelsk oversættelseKai Møller Nielsen: Humor kontra satire – Om at oversætte Aristofanes' komedierSøren Schønberg Sørensen: At oversætte Petrarca – Motto: Det at oversætte digte kræver en digter.Anne Marie Bjerg: Det nære sprog, det svære sprog: SvenskThomas Harder: Italienske krimi-noterMette Tønnesen: Dansk skønlitteratur i italiensk oversættelseJudyta Preis & Jørgen Herman Monrad: Om at oversætte Bruno SchulzJean Renaud: Er det muligt at oversætte fra dansk til fransk?Jean Renaud: Dansk i Frankrig eller …? – Når franskmænd lærer danskJørgen Chemnitz: Sproget er et mellemrumAnders Bay: Brobygning mellem Holland og DanmarkMads Büchert Eskildsen: Lingvistiske aspekter af oversættelse fra russiskShëkufe Tadayoni Heiberg: At sætte sproget overEllen Wulff: Giv kejseren, hvad kejserens erBjørn Z. Simonsen: Kunstsproget ithkuilPeter Bjerre Rosa: Kampen mod uretClaus Thornby Larsen: Når maskinerne oversætterGitte Schmidt: Dansk i EUPhilip Thinggaard: Spøgelse på æggeskaller – Om at tolke fremmedsprog i retssalenSofie Jørgensen: Med tegnsprogstolken på arbejdeErik Skyum-Nielsen: Oversætterens dobbelte hensyn

"This reference book of contributed chapters discusses the tools, methodologies, applications, and implementation of sentiment analysis across various disciplines and industries such as the pharmaceutical industry, government, and the tourism industry and presents emerging technologies and developments within the field of sentiment analysis and opinion mining"--

"This reference book of contributed chapters discusses the tools, methodologies, applications, and implementation of sentiment analysis across various disciplines and industries such as the pharmaceutical industry, government, and the tourism industry and presents emerging technologies and developments within the field of sentiment analysis and opinion mining"--

"This reference book of contributed chapters discusses the tools, methodologies, applications, and implementation of sentiment analysis across various disciplines and industries such as the pharmaceutical industry, government, and the tourism industry and presents emerging technologies and developments within the field of sentiment analysis and opinion mining"--

"This reference book of contributed chapters discusses the tools, methodologies, applications, and implementation of sentiment analysis across various disciplines and industries such as the pharmaceutical industry, government, and the tourism industry and presents emerging technologies and developments within the field of sentiment analysis and opinion mining"--

This book constitutes the proceedings of the 16th International Conference on Theoretical Aspects of Software Engineering, TASE 2022, held in Cluj-Napoca, Romania, July 2022. The 21 full regular papers presented together with 5 short papers in this book were carefully reviewed and selected from 71 submissions. The topics of the papers covering various fields in software engineering and the latest developments in in formal and theoretical software engineering methods and techniques.

This Book Includes: Machine Learning: A Comprehensive, Step-by-Step Guide to Learning and Understanding Machine Learning Concepts, Technology and Principles for BeginnersMachine Learning: A Comprehensive, Step-by-Step Guide to Intermediate Concepts and Techniques in Machine LearningMachine Learning: A Comprehensive, Step-by-Step Guide to Learning and Applying Advanced Concepts and Techniques in Machine LearningMachine Learning: A Complete Exploration of Highly Advanced Machine Learning Concepts, Best Practices and TechniquesBuy the Paperback version of this book, and get the Kindle eBOOK version for FREEGraphics in this book are printed in black and white.Machines are created to make work easier for us, but so many have seen machines as a major barrier due to their supposed technicality of machines.Are you a novice trying to understand the basics of machine?Do you have prior knowledge and you wish to acquire further understanding about tensorFlow, scikit- learn, algorithms, decision trees, random forest, deep learning or neural networks?Are you even a pro and you wish to add to your knowledge?This book is all you need. This painstakingly compiled manuscript unravels the rudiments and generality of machine learning. It is total and all encompassing with accurate and concise principles of machine learning. This quintessential book comprises modules that cut across various level of knowledge in machine learning. It is an exquisite material that grants you practical knowledge in machines. It weighs more than mere words, it is gold in manuscript.You might not know how much you know or how much you need to know until you avail yourself with essential materials. This book is not one of all you need to understand machine learning; it is all you need to uncover the full scope of learning machines.Technicality is very relative when you have the right knowledge. Stay ahead; make a choice that will last. Would You Like To Know More?Scroll to the top of the page and select the buy now button.

The Information Management Systems group at the University of Padua, led by Maristella Agosti, has been a major contributor to information retrieval and digital libraries for nearly twenty years.This group has produced some of Italy's best-known IR researchers, whose work spans a broad range of topics, as the papers in this book demonstrate. One of the goalsof the IR book series is to highlight the work of academic research centers in our ?eld, in order to balancetheperceptionthateveryoneinIRworksforasearchenginecompany. One of the best aspects of our ?eld is that, as academic researchers, we can work with new graduate students and collaborate with companies to ensure that our research has direct impact on systems that people use every day. The Padua group is typical in this respect, and has been involved in a series of collaborations and major European projects over the years. I hope this volume inspires graduate students to pursue research in IR, and I encourage other research groups to contribute their own collections of papers. Amherst, Massachusetts. July 2007. W. Bruce Croft Preface The Information Management Systems (IMS) Research Group was formed in the Department of Information Engineering (formerly Department of El- tronicsandComputer Science)ofthe UniversityofPadua,Italy,in1987when the department was established. The group activities are concerned with the design,modelingandimplementationofadvancedinformationretrievaltools- such as search engines - and digital library systems.

Meaning is a fundamental concept in Natural Language Processing (NLP), in the tasks of both Natural Language Understanding (NLU) and Natural Language Generation (NLG). This is because the aims of these fields are to build systems that understand what people mean when they speak or write, and that can produce linguistic strings that successfully express to people the intended content. In order for NLP to scale beyond partial, task-specific solutions, researchers in these fields must be informed by what is known about how humans use language to express and understand communicative intents. The purpose of this book is to present a selection of useful information about semantics and pragmatics, as understood in linguistics, in a way that's accessible to and useful for NLP practitioners with minimal (or even no) prior training in linguistics.

This book presents a taxonomy framework and survey of methods relevant to explaining the decisions and analyzing the inner workings of Natural Language Processing (NLP) models. The book is intended to provide a snapshot of Explainable NLP, though the field continues to rapidly grow. The book is intended to be both readable by first-year M.Sc. students and interesting to an expert audience. The book opens by motivating a focus on providing a consistent taxonomy, pointing out inconsistencies and redundancies in previous taxonomies. It goes on to present (i) a taxonomy or framework for thinking about how approaches to explainable NLP relate to one another; (ii) brief surveys of each of the classes in the taxonomy, with a focus on methods that are relevant for NLP; and (iii) a discussion of the inherent limitations of some classes of methods, as well as how to best evaluate them. Finally, the book closes by providing a list of resources for further research on explainability.