A Machine Learning Approach to Evaluating Translation Quality

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Description

Poster presented at the 2017 ACM/IEEE-CS Joint Conference on Digital Libraries. explores the possibility of applying Machine Learning for Machine Translation evaluation.

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1 poster : ill. ; 106 x 152 cm.

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Reyes Ayala, Brenda & Chen, Jiangping June 20, 2017.

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This poster is part of the collection entitled: UNT Scholarly Works and was provided by the UNT College of Information to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 557 times. More information about this poster can be viewed below.

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Situated at the intersection of people, technology, and information, the College of Information's faculty, staff and students invest in innovative research, collaborative partnerships, and student-centered education to serve a global information society. The college offers programs of study in information science, learning technologies, and linguistics.

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Description

Poster presented at the 2017 ACM/IEEE-CS Joint Conference on Digital Libraries. explores the possibility of applying Machine Learning for Machine Translation evaluation.

Physical Description

1 poster : ill. ; 106 x 152 cm.

Source

  • ACM/IEEE-CS Joint Conference on Digital Libraries, June 19-23, 2017. Toronto, Canada.

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UNT Scholarly Works

Materials from the UNT community's research, creative, and scholarly activities and UNT's Open Access Repository. Access to some items in this collection may be restricted.

UNT Graduate Student Works

This collection houses graduate student works other than theses and dissertations. All materials have been previously accepted by a professional organization or approved by a faculty mentor. The collection includes, but is not limited to projects or problems in lieu of thesis, supplemental files associated with theses and dissertations, posters, recitals, presentations, articles, reviews, book chapters, exhibitions, and artwork. Some items in this collection are restricted to use by the UNT community.

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A Machine Learning Approach to Evaluating Translation Quality (Paper)

A Machine Learning Approach to Evaluating Translation Quality

This paper explores the possibility of applying Machine Learning for Machine Translation evaluation.

A Machine Learning Approach to Evaluating Translation Quality - ark:/67531/metadc993374

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Creation Date

  • June 20, 2017

Added to The UNT Digital Library

  • Aug. 29, 2017, 9:38 a.m.

Description Last Updated

  • Sept. 1, 2017, 10:15 a.m.

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Total Uses: 557

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Reyes Ayala, Brenda & Chen, Jiangping. A Machine Learning Approach to Evaluating Translation Quality, poster, June 20, 2017; (https://digital.library.unt.edu/ark:/67531/metadc990997/: accessed April 1, 2023), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Information.

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