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Natural language translation at the intersection of AI and HCI

Authors:

Spence Green,

Jeffrey Heer,

Christopher D. ManningAuthors Info & Claims

Communications of the ACM, Volume 58, Issue 9

Pages 46 - 53

https://doi.org/10.1145/2767151

Published: 24 August 2015 Publication History

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Abstract

Old questions being answered with both AI and HCI.

References

[1]

Bar-Hillel, Y. The present state of research on mechanical translation. American Documentation 2, 4 (1951), 229--237.

Crossref

Google Scholar

[2]

Bar-Hillel, Y. The present status of automatic translation of languages. Advances in Computers 1 (1960), 91--163.

Crossref

Google Scholar

[3]

Beyer, R.T. Hurdling the language barrier. Physics Today 18, 1 (1965), 46--52.

Crossref

Google Scholar

[4]

Birch, A. and Osborne, M. Reordering metrics for MT, (2011).

Google Scholar

[5]

Bisbey, R. and Kay, M. The MIND translation system: a study in man-machine collaboration. Technical Report P-4786, Rand Corp, 1972.

Google Scholar

[6]

Carbonell, J. AI in CAI: An artificial-intelligence approach to computer-assisted instruction. IEEE Transactions on Man-Machine Systems 11, 4 (1970), 190--202.

Crossref

Google Scholar

[7]

Card, S.K., Moran, T.P. and Newell, A. The Psychology of Human-Computer Interaction. Lawrence Erlbaum Associates, 1983.

Digital Library

Google Scholar

[8]

Church, K. W. and Hovy, E. Good applications for crummy machine translation. Machine Translation 8 (1993), 239--258.

Crossref

Google Scholar

[9]

Debons, A. and Cameron, W.J., Eds. Perspectives in Information Science, Vol. 10. NATO Advanced Study Institutes Series. Springer, 1975.

Crossref

Google Scholar

[10]

Denkowski, M., Lavie, A, Lacruz, I. and Dyer, C. Real time adaptive machine translation for post-editing with cdec and TransCenter. In Proceedings of the EACL 2014 Workshop on Humans and Computer-assisted Translation, (2014).

Crossref

Google Scholar

[11]

Engelbart, D.C. Augmenting human intellect: A conceptual framework. Technical report, SRI Summary Report AFOSR-3223 (1962).

Crossref

Google Scholar

[12]

Foster, G., Langlais, P. and Lapalme, G. TransType: text prediction for translators. In Proceedings of ACL Demonstrations, (2002), 93-94.

Digital Library

Google Scholar

[13]

Green, S., Wang, S., Chuang, J., Heer, J. Schuster, S. and Manning, C.D. Human effort and machine learnability in computer aided translation. In Proceedings of EMNLP, (2014), 1225--1236.

Crossref

Google Scholar

[14]

Grudin, J. AI and HCI: Two fields divided by a common focus. AI Magazine 30, 4 (2009, 48--57.

Digital Library

Google Scholar

[15]

Grudin, J. A moving target---the evolution of human-computer interaction. Human-Computer Interaction Handbook: Fundamentals, Evolving Technologies, and Emerging Applications (3rd edition). J.A. Jacko, Ed. CRC Press, 2012.

Google Scholar

[16]

Hauben, M. and Hauben, R. Netizens: On the History and Impact of Usenet and the Internet. IEEE Computer Society Press, Los Alamitos, CA, 1997.

Digital Library

Google Scholar

[17]

Hauben, R. Heinz von Foerster, Margaret Mead and JCR Licklider and the conceptual foundations for the Internet: The early concerns of cybernetics of cybernetics. Presentation in Berlin Germany (Nov. 16, 2003).

Google Scholar

[18]

Horvitz, E. Principles of mixed-initiative user interfaces. In Proceedings of CHI (May 1999), 15--20.

Digital Library

Google Scholar

[19]

Hutchins, J. From first conception to first demonstration: The nascent years of machine translation, 1947--1954: A chronology. Machine Translation 12, 3 (1997), 195--252.

Digital Library

Google Scholar

[20]

Hutchins, J. The origins of the translator's workstation. Machine Translation 13 (1998), 287--307.

Digital Library

Google Scholar

[21]

Hutchins, J. Yehoshua Bar-Hillel: A philosopher's contribution to machine translation. Early Years in Machine Translation: Memoirs and Biographies of Pioneers. W.J. Hutchins, Ed. John Benjamins, 2000.

Google Scholar

[22]

Kay, M. The proper place of men and machines in language translation. Technical Report CSL-80-11, 1980, Xerox Palo Alto Research Center (PARC).

Google Scholar

[23]

Kay, M. The proper place of men and machines in language translation. Machine Translation 12, 1/2 (1998). 3--23.

Digital Library

Google Scholar

[24]

Licklider, J.C.R. Man-computer symbiosis. IRE Transactions on Human Factors in Electronics HFE1 1 (1960), 4--11.

Crossref

Google Scholar

[25]

Melby, A.K. Creating an environment for the translator. In Proceedings of the Third Lugano Tutorial. M. King, ed. (Switzerland, Apr. 2--7, 1984). Edinburgh University Press, 124--132.

Google Scholar

[26]

Melby, A.K., Smith, M.R. and Peterson, J. ITS: Interactive translation system. In Proceedings of the Seventh International Conference on Computational Linguistics. (1980).

Digital Library

Google Scholar

[27]

Pierce, J.R. (ed.) Languages and machines: computers in translation and linguistics. National Research Council Publication 1416. National Academy of Sciences, Washington, D.C., 1966.

Digital Library

Google Scholar

[28]

Sanchis-Trilles, G., Alabau, V., Buck, C., Carl, M., Casacuberta F. and García-Martínez, M., et al. Interactive translation prediction versus conventional post-editing in practice: A study with the CasMaCat workbench. Machine Translation 28, 3/4 (2014), 1--19.

Digital Library

Google Scholar

[29]

Simon, H. A. The New Science of Management Decision. Harper, N.Y., 1960.

Google Scholar

[30]

Slocum, J. A survey of machine translation: its history, current status, and future prospects. Computational Linguistics 11, 1 (1985), 1--17.

Digital Library

Google Scholar

[31]

Somers, H. and Lovel, H. Computer-based support for patients with limited English. EAMT Workshop on MT and Other Language Technology Tools. (2003).

Digital Library

Google Scholar

[32]

Waldrop, M.M. The Dream Machine: J.C.R. Licklider and the Revolution That Made Computing Personal. Viking, N.Y. 2001.

Digital Library

Google Scholar

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Wang JWang KZhou FWang CFu ZFeng ZZhao YZhang YChua TNgo CKumar RLauw HKa-Wei Lee R(2024)Synslator: An Interactive Machine Translation Tool with Online LearningCompanion Proceedings of the ACM Web Conference 202410.1145/3589335.3651240(1023-1026)Online publication date: 13-May-2024
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Rasheed ZGhwanmeh SAlmahadin A(2024)A Critical Review of AI-Driven AR Glasses for Realtime Multilingual Communication2024 Advances in Science and Engineering Technology International Conferences (ASET)10.1109/ASET60340.2024.10708749(1-6)Online publication date: 3-Jun-2024
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Zhang AZhu X(2023)Analysis of English Translation of Corpus Based on BlockchainInternational Journal of Web-Based Learning and Teaching Technologies10.4018/IJWLTT.33276718:2(1-14)Online publication date: 25-Oct-2023
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Index Terms

Natural language translation at the intersection of AI and HCI
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
2. Information systems
  1. Information systems applications
    1. Decision support systems
      1. Expert systems

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Published In

Communications of the ACM Volume 58, Issue 9

September 2015

119 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/2817191

Editor:
Moshe Y. Vardi
Association for Computing Machinery, New York, NY

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

Publication History

Published: 24 August 2015

Published in CACM Volume 58, Issue 9

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Wang JWang KZhou FWang CFu ZFeng ZZhao YZhang YChua TNgo CKumar RLauw HKa-Wei Lee R(2024)Synslator: An Interactive Machine Translation Tool with Online LearningCompanion Proceedings of the ACM Web Conference 202410.1145/3589335.3651240(1023-1026)Online publication date: 13-May-2024
https://dl.acm.org/doi/10.1145/3589335.3651240
Rasheed ZGhwanmeh SAlmahadin A(2024)A Critical Review of AI-Driven AR Glasses for Realtime Multilingual Communication2024 Advances in Science and Engineering Technology International Conferences (ASET)10.1109/ASET60340.2024.10708749(1-6)Online publication date: 3-Jun-2024
https://doi.org/10.1109/ASET60340.2024.10708749
Zhang AZhu X(2023)Analysis of English Translation of Corpus Based on BlockchainInternational Journal of Web-Based Learning and Teaching Technologies10.4018/IJWLTT.33276718:2(1-14)Online publication date: 25-Oct-2023
https://dl.acm.org/doi/10.4018/IJWLTT.332767
Ashktorab ZDesmond MJohnson JPan QDugan CBrachman MSpina C(2023)SME-in-the-loop: Interaction Preferences when Supervising Bots in Human-AI CommunitiesProceedings of the 2023 ACM Designing Interactive Systems Conference10.1145/3563657.3596100(2281-2303)Online publication date: 10-Jul-2023
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Li CLi WLiu CZheng HCai JWang S(2022)Artificial intelligence in multiparametric magnetic resonance imaging: A reviewMedical Physics10.1002/mp.1593649:10Online publication date: 31-Aug-2022
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