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Mathematical linguistics. --- Computational linguistics. --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Algebraic linguistics --- Linguistics, Mathematical --- Information theory --- Computational linguistics --- Data processing --- Statistical methods --- Mathematical models --- Lingüística matemàtica --- Lingüística computacional --- Lingüística --- Teoria de la informació --- Glossemàtica --- Gramàtica de dependències --- Lingüística aplicada --- Processament de la parla --- Traducció automàtica
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This volume explores the universal mathematical properties underlying big language data and possible reasons why such properties exist, revealing how we may be unconsciously mathematical in our language use. These properties are statistical and thus different from linguistic universals that contribute to describing the variation of human languages, and they can only be identified over a large accumulation of usages. The book provides an overview of state-of-the art findings on these statistical universals and reconsiders the nature of language accordingly, with Zipf's law as a well-known example. The main focus of the book further lies in explaining the property of long memory, which was discovered and studied more recently by borrowing concepts from complex systems theory. The statistical universals not only possibly lie as the precursor of language system formation, but they also highlight the qualities of language that remain weak points in today's machine learning. In summary, this book provides an overview of language's global properties. It will be of interest to anyone engaged in fields related to language and computing or statistical analysis methods, with an emphasis on researchers and students in computational linguistics and natural language processing. While the book does apply mathematical concepts, all possible effort has been made to speak to a non-mathematical audience as well by communicating mathematical content intuitively, with concise examples taken from real texts.
Social sciences (general) --- Sociology --- Mathematics --- sociologie --- sociale wetenschappen --- wiskunde
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Text entry has never been so important as it is today. This is in large part due to the phenomenal, relatively recent success of mobile computing, text messaging on mobile phones, and the proliferation of small devices like the Blackberry and Palm Pilot. Compared with the recent past, when text entry was primarily through the standard "qwerty? keyboard, people today use a diverse array of devices with the number and variety of such devices ever increasing. The variety is not just in the devices, but also in the technologies used: Entry modalities have become more varied and include
Computers. --- Electronic data processing --- Human-computer interaction. --- Natural language processing (Computer science) --- Data entry. --- NLP (Computer science) --- Computer-human interaction --- Human factors in computing systems --- Interaction, Human-computer --- Data capturing in electronic data processing --- Data entry in electronic data processing --- Entry of data in electronic data processing --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Artificial intelligence --- Human-computer interaction --- Semantic computing --- Human engineering --- User-centered system design --- User interfaces (Computer systems) --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Data preparation --- Information Technology --- General and Others
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Social sciences (general) --- Sociology --- Mathematics --- sociologie --- sociale wetenschappen --- wiskunde
Choose an application
Text entry has never been so important as it is today. This is in large part due to the phenomenal, relatively recent success of mobile computing, text messaging on mobile phones, and the proliferation of small devices like the Blackberry and Palm Pilot. Compared with the recent past, when text entry was primarily through the standard "qwerty? keyboard, people today use a diverse array of devices with the number and variety of such devices ever increasing. The variety is not just in the devices, but also in the technologies used: Entry modalities have become more varied and include
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