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Abstract
Analogical Natural Language Processing aims to challenge the current hegemony of the rulebased paradigm in NLP. Traditional NLP decomposes languages into atomic units, whereas example-based NLP centres around the re-use of language fragments. The book consists of six chapters : a short introduction, chapters on background material, analogical machine translation, stochastic and analogy-based NLP, some experiments in analogical cloning and a conclusion. We shall now look at the chapters more closely
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