Lost in Machine Translation: A Method to Reduce Meaning Loss

25 February 2019

Papers citing "Lost in Machine Translation: A Method to Reduce Meaning Loss"

5 / 5 papers shown

Title
Generating Pragmatic Examples to Train Neural Program Synthesizers Saujas Vaduguru Daniel Fried Yewen Pu NAI 32 5 0 09 Nov 2023
Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches Daniel Fried Nicholas Tomlin Jennifer Hu Roma Patel Aida Nematzadeh 29 6 0 15 Nov 2022
Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes Hyunwoo J. Kim Byeongchang Kim Gunhee Kim 42 67 0 18 Sep 2021
A practical introduction to the Rational Speech Act modeling framework Gregory Scontras Michael Henry Tessler Michael Franke 20 13 0 20 May 2021
Mutual exclusivity as a challenge for deep neural networks Kanishk Gandhi Brenden M. Lake 36 14 0 24 Jun 2019