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Memory-Based Language Processing
Memory-based language processing--a machine learning and problem solving method for language technology--is based on the idea that the direct re-use of examples using analogical reasoning is more suited for solving language processing problems than the application of rules extracted from those examples. This book discusses the theory and practice of memory-based language processing, showing its comparative strengths over alternative methods of language modelling. Language is complex, with few generalizations, many sub-regularities and exceptions, and the advantage of memory-based language processing is that it does not abstract away from this valuable low-frequency information.
The Public Statutes at Large of the United States of America
Vols. for 1950-19 contained treaties and international agreements issued by the Secretary of State as United States treaties and other international agreements.
Crosslinguistic Facets of the Subjunctive
No other grammatical phenomenon causes as many problems in teaching and learning as the subjunctive. Most grammars devote as many pages to the presentation of the rules as to the exceptions. This becomes even more frustrating when dealing with the differences, not only between different language families, but even within the Romance language family alone, since it seems that each language shapes the functional area of the subjunctive individually. The aim of this volume is therefore to reconsider the representation of the subjunctive in Romance languages in a crosslinguistic and contrastive way. First, an overview of research in this area from the beginnings to the latest neurolinguistic fin...
The Palgrave Handbook of Global Mormonism
This handbook explores contemporary Mormonism within a global context. The authors provide a nuanced picture of a historically American religion in the throes of the same kinds of global change that virtually every conservative faith tradition faces today. They explain where and how the Church of Jesus Christ of Latter-day Saints has penetrated national and cultural boundaries in Latin America, Oceania, Europe, Asia, and Africa, as well as in North America beyond the borders of Mormon Utah. They also address numerous concerns within a multinational, multicultural church: What does it mean to be a Latter-day Saint in different world regions? What is the faith’s appeal to converts in these places? What are the peculiar problems for members who must manage Mormon identities in conjunction with their different national, cultural, and ethnic identities? How are leaders dealing with such issues as the status of women in a patriarchal church, the treatment of LGBTQ members, increasing disaffiliation of young people, and decreasing growth rates in North and Latin America while sustaining increasing growth in parts of Asia and Africa?
Bilingual Language Acquisition
An in-depth and meticulous study of the English-Spanish bilingual development of two siblings from their first word to age six.
Analogical Modeling
Analogical Modeling (AM) is an exemplar-based general theory of description that uses both neighbors and non-neighbors (under certain well-defined conditions of homogeneity) to predict language behavior. This book provides a basic introduction to AM, compares the theory with nearest-neighbor approaches, and discusses the most recent advances in the theory, including psycholinguistic evidence, applications to specific languages, the problem of categorization, and how AM relates to alternative approaches of language description (such as instance families, neural nets, connectionism, and optimality theory). The book closes with a thorough examination of the problem of the exponential explosion, an inherent difficulty in AM (and in fact all theories of language description). Quantum computing (based on quantum mechanics with its inherent simultaneity and reversibility) provides a precise and natural solution to the exponential explosion in AM. Finally, an extensive appendix provides three tutorials for running the AM computer program (available online).
