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    <abstract>Empirical methods in Natural Language Processing (NLP) and Machine Translation (MT) have become mainstream in the research field. Accordingly, it is important that the tools and techniques in these paradigms be taught to potential future researchers and developers in University courses. While many dedicated courses on Statistical NLP can be found, there are few, if any courses on Empirical Approaches to MT. This paper presents the development and assessment of one such course as taught to final year undergraduates taking a degree in NLP.</abstract>
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%0 Conference Proceedings
%T Teaching and assessing empirical approaches to machine translation
%A Way, Andy
%A Gough, Nano
%S Workshop on Teaching Translation Technologies and Tools
%D 2003
%8 sep 23 27
%C New Orleans, USA
%F way-gough-2003-teaching
%X Empirical methods in Natural Language Processing (NLP) and Machine Translation (MT) have become mainstream in the research field. Accordingly, it is important that the tools and techniques in these paradigms be taught to potential future researchers and developers in University courses. While many dedicated courses on Statistical NLP can be found, there are few, if any courses on Empirical Approaches to MT. This paper presents the development and assessment of one such course as taught to final year undergraduates taking a degree in NLP.
%U https://aclanthology.org/2003.mtsummit-tttt.8

Markdown (Informal)

[Teaching and assessing empirical approaches to machine translation](https://aclanthology.org/2003.mtsummit-tttt.8) (Way & Gough, MTSummit 2003)

• Teaching and assessing empirical approaches to machine translation (Way & Gough, MTSummit 2003)

ACL

• Andy Way and Nano Gough. 2003. Teaching and assessing empirical approaches to machine translation. In Workshop on Teaching Translation Technologies and Tools, New Orleans, USA.