Results 291 to 300 of about 182,846 (314)
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Ellipsis and Computational Linguistics

2019
AbstractThis chapter considers approaches to ellipsis within computational linguistics. It begins with the structure of the ellipsis site—a topic that has received little attention in computational linguistics. There are two prominent accounts of the recovery of ellipsis: that of Lappin and McCord (1990) and Dalrymple et al. (1991).
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Kantian Computational Linguistics

2021
Language is a defining characteristic of higher order species—particularly of us, homo sapiens. For that reason, it is only appropriate to conclude that linguistic capability—the ability to understand and generate natural language—is essential in any tools that we build for cognitive assistance. Fast and superior automated solutions exist in most other
Raman Kannan   +4 more
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Named Entities for Computational Linguistics

2016
One of the challenges brought on by the digital revolution of the recent decades is the mechanism by which information carried by texts can be extracted in order to access its contents.The processing of named entities remains a very active area of research, which plays a central role in natural language processing technologies and their applications ...
Nouvel, Damien   +2 more
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Computational linguistics and the study of linguistic performance

Computers and the Humanities, 1972
T begin with, I would like to assert that computational linguistics (henceforth CL), despite its qualifying adjective, has to do with human behavior and, in particular, with that subset of human behavioral patterns that we study in linguistics. In other words, one of the tasks of c L as a science is to explain human behavior insofar as it avails itself
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Computational Linguistics

1986
In spite of the rapid growth of interest in the computer analysis of language, this book provides an integrated introduction to the field. Inevitably, when many different approaches are still being considered, a straightforward work of synthesis would be neither possible nor practicable.
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Lying and Computational Linguistics

2018
AbstractThis chapter espouses an engineering perspective on lying, showing how various departures from the truth arise naturally when computers talk about data. We start by explaining how Natural Language Generation (NLG) systems work when they talk about data. Then we discuss how, perhaps surprisingly, such systems cannot help deviating from the truth
Ehud Reiter, Kees van Deemter
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Computers in Linguistics

Language, 1987
Douglas Biber, Christopher Butler
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Putting Linguistics Back into Computational Linguistics

2017
Abstract Almost all practitioners of natural language processing make a crucial error that also besets much of Chomsky's argument about the poverty of the stimulus in first language learning, namely that we can discover all we need to know about language by examining sufficiently large quantities of it.
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Applications in Computational Linguistics

2017
This chapter gives several specific case studies concerning linguistics. Specifically, it demonstrates applications of scattered context grammars in this scientific field. It concentrates its attention to many complicated English syntactical structures and demonstrates how scattered context grammars allow us to explore them clearly, elegantly, and ...
Alexander Meduna, Ondřej Soukup
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Semiotics and Computational Linguistics

1999
Signs, which are the domain of inquiry in semiotics, have a complex ontology. Apart from being used—adequate knowledge provided—by communicators, and recognized as being decomposable into smaller elements and aggregatable to larger structures, they are also meant to be understood.
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