DocumentCode
3723108
Title
Analogical Reasoning for Natural to Formal Language Transfer
Author
Vincent Letard;Sophie Rosset;Gabriel Illouz
Author_Institution
LIMSI, Orsay, France
fYear
2015
Firstpage
210
Lastpage
217
Abstract
In this paper, we explore the use of proportional analogy reasoning to address the problem of language transfer, that is the production of an utterance in a defined target language, given another in the source language. The application we focused on is the transfer of requests in a natural language (French) into commands in a formal language (bash). We introduce a hybrid approach which parallelly uses formal analogy in the language domain and in the more general word sequences domain in order to separately tackle linguistic and parametric variations. On the observation that parametric variations are the most unpredictable, we also apply analogy to automatically extend the available data by generating new requests from the existing ones. Our approach is language independent, it was designed with the help of analogical reasoning to be as generic as possible.
Keywords
"Cognition","Natural languages","Pragmatics","Formal languages","Training","Production","Learning systems"
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence (ICTAI), 2015 IEEE 27th International Conference on
ISSN
1082-3409
Type
conf
DOI
10.1109/ICTAI.2015.42
Filename
7372138
Link To Document