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A Machine Learning Approach to Evaluating Translation Quality
This paper explores the possibility of applying Machine Learning for Machine Translation evaluation.
Date:
June 20, 2017
Creator:
Reyes Ayala, Brenda & Chen, Jiangping
Object Type:
Paper
System:
The UNT Digital Library
A Machine Learning Approach to Evaluating Translation Quality
Poster presented at the 2017 ACM/IEEE-CS Joint Conference on Digital Libraries. explores the possibility of applying Machine Learning for Machine Translation evaluation.
Date:
June 20, 2017
Creator:
Reyes Ayala, Brenda & Chen, Jiangping
Object Type:
Poster
System:
The UNT Digital Library
Z39.50 Interoperability Testing Framework for Online Library Catalogs Using Radioactive MARC Records
This document discusses a Z39.50 Interoperability Testing framework. In a first phase of the Z39.50 Interoperability Testbed, a large dataset of MARC records was used. In this work, the authors are exploring how a set of special, diagnostic MARC records can be developed and used to identify interoperability problems between a Z39.50 client and a Z39.50 server providing access to a database of bibliographic records supporting the search and retrieval functions of an online library catalog. The authors refer to these special, diagnostic records as radioactive MARC records. It discusses the various components and identifies the tasks related to developing and implementing the components.
Date:
June 20, 2004
Creator:
Moen, William E.
Object Type:
Text
System:
The UNT Digital Library