<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="way-gough-2003-teaching">
    <titleInfo>
        <title>Teaching and assessing empirical approaches to machine translation</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Andy</namePart>
        <namePart type="family">Way</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Nano</namePart>
        <namePart type="family">Gough</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2003-sep&quot; 23-27&quot;</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Workshop on Teaching Translation Technologies and Tools</title>
        </titleInfo>
        <originInfo>
            <place>
                <placeTerm type="text">New Orleans, USA</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <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>
    <identifier type="citekey">way-gough-2003-teaching</identifier>
    <location>
        <url>https://aclanthology.org/2003.mtsummit-tttt.8</url>
    </location>
    <part>
        <date>2003-sep&quot; 23-27&quot;</date>
    </part>
</mods>
</modsCollection>

%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.