Cynthia Matuszek


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¿Es un plátano? Exploring the Application of a Physically Grounded Language Acquisition System to Spanish
Caroline Kery | Francis Ferraro | Cynthia Matuszek
Proceedings of the Combined Workshop on Spatial Language Understanding (SpLU) and Grounded Communication for Robotics (RoboNLP)

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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Proceedings of the First Workshop on Language Grounding for Robotics
Mohit Bansal | Cynthia Matuszek | Jacob Andreas | Yoav Artzi | Yonatan Bisk
Proceedings of the First Workshop on Language Grounding for Robotics


Using Language Groundings for Context-Sensitive Text Prediction
Timothy Lewis | Cynthia Matuszek | Amy Hurst | Matthew Taylor
Proceedings of the Workshop on Uphill Battles in Language Processing: Scaling Early Achievements to Robust Methods