Textual Patterns introduces corpus resources, tools and analytic frameworks of central relevance to language teachers and teacher educators. Specifically it shows how key word analysis, combined with the systematic study of vocabulary and genre, can form the basis for a corpus informed approach to language teaching. The first part of the book gives the reader a strong grounding in the way in which language teachers can use corpus analysis tools (wordlists, concordances, key words) to describe language patterns in general and text patterns in particular. The second section presents a series of case studies which show how a key word / corpus informed approach to language education can work in practice. The case studies include: General language education (i.e. students in national education systems and those following international examination programmes), foreign languages for academic purposes, literature in language education, business and professional communication, and cultural studies in language education.

This book systematically depicts the theory of textual patterns (chengshi) of the eight-part essays and logic in ancient Chinese texts. With the rare materials, it covers all the basic and important aspects of the whole process and values of chengshi, such as the transformation of different parts and the coherent expression of the doctrines, the planning of writing, and the application to the aesthetic and pedagogic fields. It also explores the similarities and disparities of logical patterns between ancient Chinese and Western texts. Though entirely fresh and tentative, the contrastive studies get new insights into the logic and philosophical concepts hidden in the writings for better understanding of the uniqueness and richness implied in Chinese culture.

Textual Patterns introduces corpus resources, tools and analytic frameworks of central relevance to language teachers and teacher educators. Specifically it shows how key word analysis, combined with the systematic study of vocabulary and genre, can form the basis for a corpus informed approach to language teaching. The first part of the book gives the reader a strong grounding in the way in which language teachers can use corpus analysis tools (wordlists, concordances, key words) to describe language patterns in general and text patterns in particular. The second section presents a series of case studies which show how a key word / corpus informed approach to language education can work in practice. The case studies include: General language education (i.e. students in national education systems and those following international examination programmes), foreign languages for academic purposes, literature in language education, business and professional communication, and cultural studies in language education.

Via a hermeneutics focused on Chinese numerology and concentric arrangements, this book offers a novel construal of the textual universe proper to early China writings. The author lays bare distinguishable patterns of textual composition while relating them to corresponding patterns of thinking. He differentiates rhetorical variants through detailed studies of the Zhuangzi’s Inner chapters, the Laozi, the Analects, and the Huainanzi. The philosophical depth and relevance of the Chinese ancient worldview appear in a fresh light when one unearths the patterns into which its content is embedded. The focus on textual patterns and rhetorical arrangements also facilitates the reading of Chinese classics alongside other traditions. The book will be a valuable reference for scholars and graduate students studying Chinese literary criticism, Chinese philosophy, and comparative philosophy.

This book constitutes the proceedings of the Third International Conference on Analysis of Images, Social Networks and Texts, AIST 2014, held in Yekaterinburg, Russia, in April 2014. The 11 full and 10 short papers were carefully reviewed and selected from 74 submissions. They are presented together with 3 short industrial papers, 4 invited papers and tutorials. The papers deal with topics such as analysis of images and videos; natural language processing and computational linguistics; social network analysis; machine learning and data mining; recommender systems and collaborative technologies; semantic web, ontologies and their applications; analysis of socio-economic data.

Writing matters, and so does research into real-life writing. The shift from an industrial to an information society has increased the importance of writing and text production in education, in everyday life and in more and more professions in the fields of economics and politics, science and technology, culture and media. Through writing, we build up organizations and social networks, develop projects, inform colleagues and customers, and generate the basis for decisions. The quality of writing is decisive for social resonance and professional success. This ubiquitous real-life writing is what the present handbook is about. The de Gruyter Handbook of Writing and Text Production brings together and systematizes state-of-the-art research. The volume contains five sections, focussing on (I) the theory and methodology of writing and text production research, as well as on problem-oriented and problem-solving approaches related to (II) authors, (III) modes and media, (IV) genres, and (V) domains of writing and text production. Throughout the 21 chapters, exemplary research projects illustrate the theoretical perspectives from globally relevant research spaces and traditions. Both established and future scholars can benefit from the handbook’s fresh approach to writing in the context of multimodal, multi-semiotic text production.

Annotation This book constitutes the refereed proceedings of the 13th International Conference on Text, Speech and Dialogue, TSD 2010, held in Brno, Czech Republic, September 2010. The 71 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 144 submissions. The topics of the conference include, but are not limited to text corpora and tagging, transcription problems in spoken corpora, sense disambiguation, links between text and speech oriented systems, parsing issues, multi-lingual issues, information retrieval and information extraction, text/topic summarization, machine translation, semantic web, speech modeling, speech recognition, search in speech for IR and IE, text-to-speech synthesis, emotions and personality modeling, user modeling, knowledge representation in relation to dialogue systems, assistive technologies based on speech and dialogue, applied systems and software, facial animation, as well as visual speech synthesis.