We demonstrate HeMT, a multilingual Web system for human evaluation of machine translated metadata records. It allows human evaluators to examine and assess machine translation results for sample metadata records in Chinese, English, and Spanish. This paper describes the design principles, users, an
A methodology for diagnostic evaluation of spoken human — machine dialogue
✍ Scribed by LAILA DYBKJÆR; NIELS OLE BERNSEN; HANS DYBKJÆR
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 283 KB
- Volume
- 48
- Category
- Article
- ISSN
- 1071-5819
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✦ Synopsis
Diagnostic evaluation is an important instrument for the development of high-quality spoken language dialogue systems. Yet no rigorous methodology exists for the systematic and exhaustive diagnostic evaluation of all aspects of spoken language interaction: recognition, synthesis, grammar, vocabulary, dialogue, etc. The paper addresses part of this problem by presenting a methodology for the diagnostic evaluation of spoken human-machine dialogue. The first part of the methodology is general and supports the detection of any kind of user-system interaction problem. The second part concerns the classification, diagnosis and repair of problems of dialogue interaction. These problems are of two broad kinds: dialogue design errors and user errors. Use of the methodology is demonstrated through analysis of a corpus from the user test of the Danish Dialogue System.
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