Work

Macho: Writing Programs with Natural Language and Examples

Year: 2012

Type: article

Abstract: —Current natural language programming systems avoid the difficulties of dealing with abstract and ambiguous concepts by restricting the input words to those comparable to a normal high-level programming language. Our system, language by asking the programmer to provide a unit test: one or more examples of correct input and output. This may seem unnecessarily complicated, but we show that natural language and examples have a surprising synergy both in constraining the ambiguity of the specification and in generating correct solutions. I.

Source: Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)

Authors: Anthony Cozzie, Samuel T. King

Institution: University of Illinois Urbana-Champaign

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W587262310

FWCI: 2.902

Cites: 31

Cited by: 12

Related to: 10