Algebraic Structures in Natural Language (eBook, PDF)

Redaktion: Lappin, Shalom; Bernardy, Jean-Philippe

• Format: PDF

Produktbeschreibung

Algebraic Structures in Natural Language by bringing together leading researchers from computational and mathematical linguistics, psychology and behavioural science, addresses the learning procedures through which humans acquire natural language, and the way in which they represent its properties.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 308
• Erscheinungstermin: 23. Dezember 2022
• Englisch
• ISBN-13: 9781000817874
• Artikelnr.: 66483540

Autorenporträt

Shalom Lappin is a Professor of Computational Linguistics at the University of Gothenburg, Professor of Natural Language Processing at Queen Mary University of London and Emeritus Professor of Computational Linguistics at King's College London. His research focuses on the application of machine learning and probabilistic models to the representation and the acquisition of linguistic knowledge. Jean-Philippe Bernardy is a researcher at the University of Gothenburg. His main research interest is in interpretable linguistic models, in particular, those built from first principles of algebra, probability and geometry.

Inhaltsangabe

1. On the Proper Role of Linguistically Oriented Deep Net Analysis in
Linguistic Theorizing by Marco Baroni. 2. What Artificial Neural Networks
Can Tell Us About Human Language Acquisition by Alex Warstadt and Samuel R.
Bowman. 3. Grammar through Spontaneous Order by Nick Chater and Morten H.
Christiansen. 4. Language is Acquired in Interaction by Eve V. Clark. 5.
Why Algebraic Systems aren't Sufficient for Syntax by Ben Ambridge. 6.
Learning Syntactic Structures from String Input by Ethan Gotlieb Wilcox,
Jon Gauthier, Jennifer Hu, Peng Qian, and Roger Levy. 7. Analyzing
Discourse Knowledge in Pre-Trained LMs by Sharid Löaiciga. 8.
Linguistically Guided Multilingual NLP by Olga Majewska, Ivan Vuli¿c, and
Anna Korhonen. 9. Word Embeddings are Word Story Embeddings (and that's
fine) by Katrin Erk and Gabriella Chronis. 10. Algebra and Language:
Reasons for (Dis)content by Lawrence S. Moss. 11. Unitary Recurrent
Networks by Jean-Philippe Bernardy and Shalom Lappin.