The Spoken Language Translator

This book describes the Spoken Language Translator (SLT), one of the first major projects in the area of automatic speech translation.

Recently, research in the Humanities is showing an increasing interest in exactly how language and other semiotic resources support each other. The eighteen articles of this book focus on the interplay between spoken language and other modalities and address a spectrum of cross-modal resources and their functions. They also discuss how multimodal resources are exploited to increase communicative effectiveness and broaden accessibility to knowledge. This is illustrated with examples from discourse types including dramatic, literary and audiovisual texts, Facebook communication and chats, comics and audio-guides. The volume will be of interest to scholars of linguistics, translation studies, museology and education, and for readers interested in the wide array of possibilities that multimodal texts open up for meaning-making.

NATIONAL BESTSELLER • Seven-year-old Chula lives a carefree life in her gated community in Bogotá, but the threat of kidnappings, car bombs, and assassinations hover just outside her walls, where the godlike drug lord Pablo Escobar reigns, capturing the attention of the nation. “Simultaneously propulsive and poetic, reminiscent of Isabel Allende...Listen to this new author’s voice—she has something powerful to say.” —Entertainment Weekly When her mother hires Petrona, a live-in-maid from the city’s guerrilla-occupied neighborhood, Chula makes it her mission to understand Petrona’s mysterious ways. Petrona is a young woman crumbling under the burden of providing for her family as the rip tide of first love pulls her in the opposite direction. As both girls’ families scramble to maintain stability amidst the rapidly escalating conflict, Petrona and Chula find themselves entangled in a web of secrecy. Inspired by the author's own life, Fruit of the Drunken Tree is a powerful testament to the impossible choices women are often forced to make in the face of violence and the unexpected connections that can blossom out of desperation.

After decades of research activity, Chinese spoken language processing (CSLP) has advanced considerably both in practical technology and theoretical discovery. In this book, the editors provide both an introduction to the field as well as unique research problems with their solutions in various areas of CSLP. The contributions represent pioneering efforts ranging from CSLP principles to technologies and applications, with each chapter encapsulating a single problem and its solutions.A commemorative volume for the 10th anniversary of the international symposium on CSLP in Singapore, this is a valuable reference for established researchers and an excellent introduction for those interested in the area of CSLP.

AUTOMATIC SPEECH RECOGNITION and TRANSLATION for LOW-RESOURCE LANGUAGES This book is a comprehensive exploration into the cutting-edge research, methodologies, and advancements in addressing the unique challenges associated with ASR and translation for low-resource languages. Automatic Speech Recognition and Translation for Low Resource Languages contains groundbreaking research from experts and researchers sharing innovative solutions that address language challenges in low-resource environments. The book begins by delving into the fundamental concepts of ASR and translation, providing readers with a solid foundation for understanding the subsequent chapters. It then explores the intricacies of low-resource languages, analyzing the factors that contribute to their challenges and the significance of developing tailored solutions to overcome them. The chapters encompass a wide range of topics, ranging from both the theoretical and practical aspects of ASR and translation for low-resource languages. The book discusses data augmentation techniques, transfer learning, and multilingual training approaches that leverage the power of existing linguistic resources to improve accuracy and performance. Additionally, it investigates the possibilities offered by unsupervised and semi-supervised learning, as well as the benefits of active learning and crowdsourcing in enriching the training data. Throughout the book, emphasis is placed on the importance of considering the cultural and linguistic context of low-resource languages, recognizing the unique nuances and intricacies that influence accurate ASR and translation. Furthermore, the book explores the potential impact of these technologies in various domains, such as healthcare, education, and commerce, empowering individuals and communities by breaking down language barriers. Audience The book targets researchers and professionals in the fields of natural language processing, computational linguistics, and speech technology. It will also be of interest to engineers, linguists, and individuals in industries and organizations working on cross-lingual communication, accessibility, and global connectivity.

Dennis Tedlock presents startling new methods for transcribing, translating, and interpreting oral performance that carry wide implications for all areas of the spoken arts. Moreover, he reveals how the categories and concepts of poetics and hermeneutics based in Western literary traditions cannot be carried over in their entirety to the spoken arts of other cultures but require extensive reevaluation.

Translation Studies and linguistics have been going through a love­-hate relationship since the 1950s. This book assesses both sides of the relationship, tracing the very real contributions that linguists have made to translation studies and at the same time recognizing the limitations of many of their approaches. With good humour and even­handedness, Fawcett describes detailed taxonomies of translation strategies and deals with traditional problems such as equivalence. Yet he also explains and assesses the more recent contributions of text linguistics, sociolinguistics, pragmatics and psycholinguistics. This work is exceptional in that it presents theories originally produced in Russian, German, French and Spanish as well as English. Its broad coverage and accessible treatment provide essential background reading for students of translation at all levels.

Machine Translation and the Information Soup! Over the past fty years, machine translation has grown from a tantalizing dream to a respectable and stable scienti c-linguistic enterprise, with users, c- mercial systems, university research, and government participation. But until very recently, MT has been performed as a relatively distinct operation, so- what isolated from other text processing. Today, this situation is changing rapidly. The explosive growth of the Web has brought multilingual text into the reach of nearly everyone with a computer. We live in a soup of information, an increasingly multilingual bouillabaisse. And to partake of this soup, we can use MT systems together with more and more tools and language processing technologies|information retrieval engines, - tomated text summarizers, and multimodal and multilingual displays. Though some of them may still be rather experimental, and though they may not quite t together well yet, it is clear that the future will o er text manipulation systems that contain all these functions, seamlessly interconnected in various ways.