How Mobile Robots Can Self-organise a Vocabulary
by Paul Vogt
Publisher: Language Science Press 2015
Number of pages: 286
This book presents a series of experiments in which two robots try to solve the symbol grounding problem. The experiments are based on the language game paradigm, and involve real mobile robots that are able to develop a grounded lexicon about the objects that they can detect in their world.
Home page url
Download or read it online for free here:
by Steven Bird, Ewan Klein, Edward Loper - O'Reilly Media
This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies. With it, you'll learn how to write Python programs that work with large collections of unstructured text.
by A. Aliseda, R. van Glabbeek, D. Westerstahl - CSLI
This book pursues the recent research in the interface of logic, language and computation, with applications to artificial intelligence and machine learning. It contains contributions to the logical and computational analysis of natural language.
by Igor Boshakov, Alexander Gelbukh
The book focuses on the basic set of ideas and facts from the fundamental science necessary for the creation of intelligent language processing tools, without going deeply into the details of specific algorithms or toy systems.
by A. L. Berger, S. A. Della Pietra, V. J. Della Pietra - Association for Computational Linguistics
The authors describe a method for statistical modeling based on maximum entropy. They present a maximum-likelihood approach for automatically constructing maximum entropy models and describe how to implement this approach efficiently.