Algebraic Structures in Natural Language
Object category:
Elektronische Ressource
Person/Institution:
Publisher:
Taylor & Francis Group
Place of publication:
Milton
Date:
2022
Extent, illustration, format:
1 online resource (309 pages)
Language:
Englisch
Providing institution:
Additional information
Abstract:
Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- Contributors -- Introduction -- CHAPTER 1: On the Proper Role of Linguistically Oriented Deep Net Analysis in Linguistic Theorising -- CHAPTER 2: What Artificial Neural Networks Can Tell Us about Human Language Acquisition -- CHAPTER 3: Grammar through Spontaneous Order -- CHAPTER 4: Language is Acquired in Interaction -- CHAPTER 5: Why Algebraic Systems aren't Sufficient for Syntax -- CHAPTER 6: Learning Syntactic Structures from String Input -- CHAPTER 7: Analysing Discourse Knowledge in Pre-Trained LMs -- CHAPTER 8: Linguistically Guided Multilingual NLP -- CHAPTER 9: Word Embeddings are Word Story Embeddings (and That's Fine) -- CHAPTER 10: Algebra and Language: Reasons for (Dis)content -- CHAPTER 11: Unitary Recurrent Networks -- Index.
Object text:
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Contact
Universität Erfurt
Forschungsbibliothek Gotha
Schloss Friedenstein
Schlossplatz 1
99867 Gotha
+49 361 737-5540
bibliothek.gotha(at)uni-erfurt.de
Forschungsbibliothek Gotha
Schloss Friedenstein
Schlossplatz 1
99867 Gotha
+49 361 737-5540
bibliothek.gotha(at)uni-erfurt.de
Administrative details
Created:
2023-04-12
Last changed:
2022-11-25
Added to portal:
2023-04-12
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