Natural Language Generation
Natural Language Generation (NLG) is the natural language processing task of generating natural language from a machine representation system such as a knowledge base or a logical form. Psycholinguists prefer the term language production when such formal representations are interpreted as models for mental representations.
It could be said an NLG system is like a translator that converts a computer based representation into a natural language representation. However, the methods to produce the final language are different from those of a compiler due to the inherent expressivity of natural languages.
NLG may be viewed as the opposite of natural language understanding: whereas in natural language understanding the system needs to disambiguate the input sentence to produce the machine representation language, in NLG the system needs to make decisions about how to put a concept into words.
Simple examples are systems that generate form letters. These do not typically involve grammar rules, but may generate a letter to a consumer, e.g. stating that a credit card spending limit was reached. More complex NLG systems dynamically create texts to meet a communicative goal. As in other areas of natural language processing, this can be done using either explicit models of language (e.g., grammars) and the domain, or using statistical models derived by analysing human-written texts.
A source for the SIGGEN portion of the ACL Anthology. A specialist textbook is Reiter and Dale (2000), but this does not describe developments in the field since 2000.
Read more about Natural Language Generation: Example, Stages, Applications, Evaluation
Famous quotes containing the words natural, language and/or generation:
“Surely knowledge of the natural world, knowledge of the human condition, knowledge of the nature and dynamics of society, knowledge of the past so that one may use it in experiencing the present and aspiring to the future—all of these, it would seem reasonable to suppose, are essential to an educated man. To these must be added another—knowledge of the products of our artistic heritage that mark the history of our esthetic wonder and delight.”
—Jerome S. Bruner (20th century)
“It’s not that we want the political jobs themselves ... but they seem to be the only language the men understand. We don’t really want these $200 a year jobs. But the average man doesn’t understand working for a cause.”
—Jennie Carolyn Van Ness (b. c. 1890–?)
“Our Indian said that he was a doctor, and could tell me some medicinal use for every plant I could show him ... proving himself as good as his word. According to his account, he had acquired such knowledge in his youth from a wise old Indian with whom he associated, and he lamented that the present generation of Indians “had lost a great deal.””
—Henry David Thoreau (1817–1862)