Name Translation as a Machine Translation Evaluation Task
作者： Lynette Hirschman , Florence Reeder , John Burger , Keith Miller
DOI:
关键词: Machine translation 、 Rule-based machine translation 、 Task (project management) 、 Transfer-based machine translation 、 Example-based machine translation 、 Synchronous context-free grammar 、 Natural language processing 、 Artificial intelligence 、 Computer-assisted translation 、 Computer science 、 Machine translation software usability
摘要: Name translation has proven to be a challenge for machine providers, but breakthroughs in related natural language processing technologies may make rapid progress possible this area. In paper, we describe the challenges name translation, which takes on greater importance when viewing as an embedded component of translingual process. To show baseline measurement aspect, then procedure evaluation, along with preliminary results from experiment determine feasibility automated evaluation translation.
参考文章(4)
Katarina Mühlenbock, Pernilla Danielsson, When Stålhandski becomes Steelglove: A Corpus Based Study of Names in Paralle Text conference of the association for machine translation in the americas. pp. 266- 274 ,(1998)
David D. Palmer, Mari Ostendorf, John D. Burger, Robust information extraction from automatically generated speech transcriptions Speech Communication. ,vol. 32, pp. 95- 109 ,(2000) , 10.1016/S0167-6393(00)00026-1
D.S. Pallett, Benchmark tests for DARPA resource management database performance evaluations international conference on acoustics, speech, and signal processing. pp. 536- 539 ,(1989) , 10.1109/ICASSP.1989.266482
Jonathan Graehl, Kevin Knight, Machine transliteration Computational Linguistics. ,vol. 24, pp. 599- 612 ,(1998)