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What is Morphology? 3rd ed.
・ISBN 978-1-119-71520-7 paper US$ 52.95
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| 著者・編者 | Aronoff, Mark / Fudeman, Kirsten, |
|---|---|
| シリーズ | Fundamentals of Linguistics |
| 出版社 | (Wiley-Blackwell, UK) |
| 出版年月 | 2022.03 |
| ページ数 | 344 pp. |
| 言語 | ENG |
| ニュース番号 | <670-3098> |
解説
Provides a critical introduction to the central ideas and perennial problems of morphology, fully revised and updated in a new edition
What is Morphology? is a concise, student-friendly introduction to the fundamentals of contemporary morphological theory and practice. Requiring only a basic knowledge of linguistics, this popular textbook describes morphological phenomena and their interactions with phonology, syntax, and semantics while familiarizing students with the importance of linguistic morphology as a subject of research. Each chapter contains engaging examples and student-friendly explanations to support the development of the skills necessary to analyze a wealth of classic morphological problems.
The third edition is fully updated to reflect the current state of the field, featuring a new chapter on morphology's intersections with typology and computational linguistics. Expanded coverage of morphological productivity and processing is supported by additional exercises, examples, and further reading suggestions. Thoroughly revised chapters cover essential topics including morphemes, the lexicon, phonology, inflection, syncretism, and derived lexemes. This accessible textbook:
- Introduces fundamental phenomena with a descriptive theme and minimal theory
- Uses cross-linguistic data to explain and clarify new concepts
- Provides new and revised chapters written by prominent experts in their respective areas
- Includes answers to all exercises via a companion instructor's website
The latest edition of What is Morphology? remains the ideal textbook for undergraduate and graduate linguistics students, researchers and scholars unfamiliar with linguistic morphology, and professionals involved in industrial applications of linguistics such as speech recognition, natural language understanding, machine translation, text-to-speech, and natural language generation.