Angler: Helping Machine Translation Practitioners Prioritize Model Improvements-Reference-Cited by-同舟云学术

Angler: Helping Machine Translation Practitioners Prioritize Model Improvements

Published:2023-04-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
language:
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Author:

Robertson Samantha¹^ORCID,Wang Zijie J.²^ORCID,Moritz Dominik³^ORCID,Kery Mary Beth⁴^ORCID,Hohman Fred³^ORCID

Affiliation:

1. Electrical Engineering and Computer Sciences, University of California, Berkeley, United States

2. College of Computing, Georgia Tech, United States

3. Apple, United States

4. Apple Inc., United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3544548.3580790

Reference151 articles.

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2. Saleema Amershi , Andrew Begel , Christian Bird , Robert DeLine , Harald Gall , Ece Kamar , Nachiappan Nagappan , Besmira Nushi , and Thomas Zimmermann . 2019. Software Engineering for Machine Learning: A Case Study. In 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) . IEEE, Montreal, QC , Canada , 291–300. https://doi.org/10.1109/ICSE-SEIP. 2019 .00042 10.1109/ICSE-SEIP.2019.00042 Saleema Amershi, Andrew Begel, Christian Bird, Robert DeLine, Harald Gall, Ece Kamar, Nachiappan Nagappan, Besmira Nushi, and Thomas Zimmermann. 2019. Software Engineering for Machine Learning: A Case Study. In 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP). IEEE, Montreal, QC, Canada, 291–300. https://doi.org/10.1109/ICSE-SEIP.2019.00042

3. Should We Treat Data as Labor? Moving Beyond “Free”

4. Linguistic Evaluation of German-English Machine Translation Using a Test Suite

5. Distribution-Matching Embedding for Visual Domain Adaptation;Baktashmotlagh Mahsa;Journal of Machine Learning Research,2016

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