Title
Naturalizing A Programming Language Via Interactive Learning
Abstract
Our goal is to create a convenient natural language interface for performing well-specified but complex actions such as analyzing data, manipulating text, and querying databases. However, existing natural language interfaces for such tasks are quite primitive compared to the power one wields with a programming language. To bridge this gap, we start with a core programming language and allow users to "naturalize" the core language incrementally by defining alternative, more natural syntax and increasingly complex concepts in terms of compositions of simpler ones. In a voxel world, we show that a community of users can simultaneously teach a common system a diverse language and use it to build hundreds of complex voxel structures. Over the course of three days, these users went from using only the core language to using the naturalized language in 85.9% of the last 10K utterances.
Year
DOI
Venue
2017
10.18653/v1/P17-1086
PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 1
DocType
Volume
Citations 
Conference
abs/1704.06956
8
PageRank 
References 
Authors
0.53
11
4
Name
Order
Citations
PageRank
Sida Wang154144.65
Samuel Ginn280.53
Percy Liang33416172.27
Christopher D. Manning4225791126.22