@inproceedings{kery-etal-2019-es,
title = "?`{E}s un pl{\'a}tano? Exploring the Application of a Physically Grounded Language Acquisition System to {S}panish",
author = "Kery, Caroline and
Ferraro, Francis and
Matuszek, Cynthia",
editor = "Bhatia, Archna and
Bisk, Yonatan and
Kordjamshidi, Parisa and
Thomason, Jesse",
booktitle = "Proceedings of the Combined Workshop on Spatial Language Understanding ({S}p{LU}) and Grounded Communication for Robotics ({R}obo{NLP})",
month = jun,
year = "2019",
address = "Minneapolis, Minnesota",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-1602",
doi = "10.18653/v1/W19-1602",
pages = "7--17",
abstract = "In this paper we describe a multilingual grounded language learning system adapted from an English-only system. This system learns the meaning of words used in crowd-sourced descriptions by grounding them in the physical representations of the objects they are describing. Our work presents a framework to compare the performance of the system when applied to a new language and to identify modifications necessary to attain equal performance, with the goal of enhancing the ability of robots to learn language from a more diverse range of people. We then demonstrate this system with Spanish, through first analyzing the performance of translated Spanish, and then extending this analysis to a new corpus of crowd-sourced Spanish language data. We find that with small modifications, the system is able to learn color, object, and shape words with comparable performance between languages.",
}
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%0 Conference Proceedings
%T ?‘Es un plátano? Exploring the Application of a Physically Grounded Language Acquisition System to Spanish
%A Kery, Caroline
%A Ferraro, Francis
%A Matuszek, Cynthia
%Y Bhatia, Archna
%Y Bisk, Yonatan
%Y Kordjamshidi, Parisa
%Y Thomason, Jesse
%S Proceedings of the Combined Workshop on Spatial Language Understanding (SpLU) and Grounded Communication for Robotics (RoboNLP)
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, Minnesota
%F kery-etal-2019-es
%X In this paper we describe a multilingual grounded language learning system adapted from an English-only system. This system learns the meaning of words used in crowd-sourced descriptions by grounding them in the physical representations of the objects they are describing. Our work presents a framework to compare the performance of the system when applied to a new language and to identify modifications necessary to attain equal performance, with the goal of enhancing the ability of robots to learn language from a more diverse range of people. We then demonstrate this system with Spanish, through first analyzing the performance of translated Spanish, and then extending this analysis to a new corpus of crowd-sourced Spanish language data. We find that with small modifications, the system is able to learn color, object, and shape words with comparable performance between languages.
%R 10.18653/v1/W19-1602
%U https://aclanthology.org/W19-1602
%U https://doi.org/10.18653/v1/W19-1602
%P 7-17
Markdown (Informal)
[¿Es un plátano? Exploring the Application of a Physically Grounded Language Acquisition System to Spanish](https://aclanthology.org/W19-1602) (Kery et al., RoboNLP 2019)
ACL