Abstract
Grammatical inference is a subfield of theoretical computer science which aims to characterize, understand, and solve learning problems in terms of formal languages and grammars. The field of computational linguistics faces many different kinds of tasks which involve natural languages and learning. Many of these tasks aim to automate decisions and processes that humans accurately undertake every day with apparently very little conscious effort. Examples include word recognition and segmentation, the phonological, morphological, syntactic, semantic, and pragmatic analysis of both speech and written texts, and, at least for multilingual speakers, translation.
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Heinz, J., de la Higuera, C., van Zaanen, M. (2016). Studying Learning. In: Grammatical Inference for Computational Linguistics. Synthesis Lectures on Human Language Technologies. Springer, Cham. https://doi.org/10.1007/978-3-031-02159-6_1
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DOI: https://doi.org/10.1007/978-3-031-02159-6_1
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-01031-6
Online ISBN: 978-3-031-02159-6
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