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4461
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4462
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4463
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4464Publicado 1979Materias: “…linguistics…”
Libro electrónico -
4465
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4466Publicado 2001Materias: “…linguistics…”
Libro electrónico -
4467
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4468
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4469Materias: “…linguistics…”
Libro electrónico -
4470
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4471Publicado 1975Materias: “…linguistics…”
Libro electrónico -
4472Publicado 2017Materias: “…linguistics…”
Libro electrónico -
4473
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4474Publicado 2024Tabla de Contenidos: “…Cover -- Titlepage -- Copyright -- Contents -- List of figures -- List of tables -- Introduction -- Part I Theoretical preliminaries -- 1 Lexical variation and the lexeme-lection-lect triangle -- 1.1 Choices of lexicological perspective -- 1.2 Semasiology, conceptual onomasiology, formal onomasiology -- 1.3 Onomasiological profiles and lectometry -- 1.4 The lexicon in language variation research -- 1.5 From cognitive linguistics to cognitive sociolinguistics -- The bottom line -- 2 Distributional semantics and the fog of meaning -- 2.1 From contexts to clusters -- 2.2 The diversity of distributional semantics -- 2.3 Sense determination and semantic indeterminacy -- 2.4 Semantics without meaning -- The bottom line -- Part II Distributional methodology -- 3 Parameters and procedures for token-based distributional semantics -- 3.1 From text to vector space -- 3.2 Linguistically informed parameters -- 3.3 Statistical parameters -- 3.4 From vector space to token clouds -- 3.5 Overview of implemented settings -- The bottom line -- 4 Visual analytics for token-based distributional semantics -- 4.1 Dimensionality reduction for visualization -- 4.2 Selecting representative models -- 4.3 The NephoVis visualization tool -- 4.4 A ShinyApp extension for NephoVis -- The bottom line -- Part III Semasiological and onomasiological explorations -- 5 Making sense of distributional semantics -- 5.1 No single optimal solution -- 5.2 Types of information -- 5.3 Semantic heterogeneity -- 5.4 One cloud, one sense -- 5.5 Prototypical contexts -- 5.6 Semantic profiling -- The bottom line -- 6 The interplay of semasiology and onomasiology -- 6.1 Onomasiology and token clouds -- 6.2 Verbs of destruction in Dutch -- 6.3 Destruction in contemporary Dutch -- 6.4 Destruction across the centuries -- 6.5 The evolution of onomasiological sets -- The bottom line…”
Libro electrónico -
4475
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4476por Goplerud, DenaMaterias:
Publicado 1985Biblioteca Universitat Ramon Llull (Otras Fuentes: Red de Bibliotecas de la Archidiócesis de Granada)Libro -
4477
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4478
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4479Publicado 2020“…What you will learn Use NLP techniques for understanding, processing, and generating text Understand PyTorch, its applications and how it can be used to build deep linguistic models Explore the wide variety of deep learning architectures for NLP Develop the skills you need to process and represent both structured and unstructured NLP data Become well-versed with state-of-the-art technologies and exciting new developments in the NLP domain Create chatbots using attention-based neural networks Who this book is for This PyTorch book is for NLP developers, machine learning and deep learning developers, and anyone interested in building intelligent language applications using both traditional NLP approaches and deep learning architectures. …”
Libro electrónico -
4480Publicado 2002“…Amsterdam Studies in the Theory and History of Linguistic Science. Series IV, Current Issues in Linguistic Theory…”
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