Includes special sessions.

"If you are not already a Steven Pinker addict, this book will make you one." -- Jared Diamond In Words and Rules, Steven Pinker explores profound mysteries of language by picking a deceptively simple phenomenon -- regular and irregular verbs -- and examining it from every angle. With humor and verve, he covers an astonishing array of topics in the sciences and humanities, from the history of languages to how to simulate languages on computers to major ideas in the history of Western philosophy. Through it all, Pinker presents a single, powerful idea: that language comprises a mental dictionary of memorized words and a mental grammar of creative rules. The idea extends beyond language and offers insight into the very nature of the human mind. This is a sparkling, eye-opening, and utterly original book by one of the world's leading cognitive scientists.

The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful introduction to the latest methods and explains how to build machine translation systems for any two languages. It introduces the subject's building blocks from linguistics and probability, then covers the major models for machine translation: word-based, phrase-based, and tree-based, as well as machine translation evaluation, language modeling, discriminative training and advanced methods to integrate linguistic annotation. The book also reports the latest research, presents the major outstanding challenges, and enables novices as well as experienced researchers to make novel contributions to this exciting area. Ideal for students at undergraduate and graduate level, or for anyone interested in the latest developments in machine translation.

This book explores the cognitive plausibility of computational language models and why it’s an important factor in their development and evaluation. The authors present the idea that more can be learned about cognitive plausibility of computational language models by linking signals of cognitive processing load in humans to interpretability methods that allow for exploration of the hidden mechanisms of neural models. The book identifies limitations when applying the existing methodology for representational analyses to contextualized settings and critiques the current emphasis on form over more grounded approaches to modeling language. The authors discuss how novel techniques for transfer and curriculum learning could lead to cognitively more plausible generalization capabilities in models. The book also highlights the importance of instance-level evaluation and includes thorough discussion of the ethical considerations that may arise throughout the various stages of cognitive plausibility research.

This 1844 book describing the workings of Parliament is a standard work, still consulted on procedural matters.