2014.eamt.xml

<?xml version='1.0' encoding='UTF-8'?>
<collection id="2014.eamt">
  <volume id="1" ingest-date="2020-11-02">
    <meta>
      <booktitle>Proceedings of the 17th Annual conference of the European Association for Machine Translation</booktitle>
      <publisher>European Association for Machine Translation</publisher>
      <address>Dubrovnik, Croatia</address>
      <month>June 16-18</month>
      <year>2014</year>
      <editor><first>Mauro</first><last>Cettolo</last></editor>
      <editor><first>Marcello</first><last>Federico</last></editor>
      <editor><first>Lucia</first><last>Specia</last></editor>
      <editor><first>Andy</first><last>Way</last></editor>
    </meta>
    <frontmatter>
      <pages>ix–xi</pages>
      <url hash="9325e286">2014.eamt-1.0</url>
    </frontmatter>
    <paper id="1">
      <title>Invited Talk: Encountering the Unknown, Part 2</title>
      <author><first>Jost</first><last>Zetzsche</last></author>
      <pages>xvii</pages>
      <url hash="1c5086f6">2014.eamt-1.1</url>
    </paper>
    <paper id="2">
      <title>Incorporating paraphrasing in translation memory matching and retrieval</title>
      <author><first>Rohit</first><last>Gupta</last></author>
      <author><first>Constantin</first><last>Orǎsan</last></author>
      <pages>3–10</pages>
      <url hash="6a25745d">2014.eamt-1.2</url>
    </paper>
    <paper id="3">
      <title>Combining bilingual terminology mining and morphological modeling for domain adaptation in <fixed-case>SMT</fixed-case></title>
      <author><first>Marion</first><last>Weller</last></author>
      <author><first>Alexander</first><last>Fraser</last></author>
      <author><first>Ulrich</first><last>Heid</last></author>
      <pages>11–18</pages>
      <url hash="7d922986">2014.eamt-1.3</url>
    </paper>
    <paper id="4">
      <title>An efficient method to assist non-expert users in extending dictionaries by assigning stems and inflectional paradigms to unknknown words</title>
      <author><first>Miquel</first><last>Esplà-Gomis</last></author>
      <author><first>Víctor M.</first><last>Sánchez-Cartegna</last></author>
      <author><first>Felipe</first><last>Sánchez-Martínez</last></author>
      <author><first>Rafael C.</first><last>Carrasco</last></author>
      <author><first>Mikel L.</first><last>Forcada</last></author>
      <author><first>Juan Antonio</first><last>Pérez-Ortiz</last></author>
      <pages>19–26</pages>
      <url hash="109a298b">2014.eamt-1.4</url>
    </paper>
    <paper id="5">
      <title>Efficient wordgraph for interactive translation prediction</title>
      <author><first>Germán</first><last>Sanchis-Trilles</last></author>
      <author><first>Daniel</first><last>Ortiz-Martínez</last></author>
      <author><first>Francisco</first><last>Casacuberta</last></author>
      <pages>27–34</pages>
    </paper>
    <paper id="6">
      <title>Translation model based weighting for phrase extraction</title>
      <author><first>Saab</first><last>Mansour</last></author>
      <author><first>Herman</first><last>Ney</last></author>
      <pages>35–43</pages>
      <url hash="3956ad0c">2014.eamt-1.6</url>
    </paper>
    <paper id="7">
      <title>Data selection for discriminative training in statistical machine translation</title>
      <author><first>Xingyi</first><last>Song</last></author>
      <author><first>Lucia</first><last>Specia</last></author>
      <author><first>Trevor</first><last>Cohn</last></author>
      <pages>45–52</pages>
      <url hash="426251a4">2014.eamt-1.7</url>
    </paper>
    <paper id="8">
      <title><fixed-case>TRANSLAIDE</fixed-case>. The translaide.pl system: an effective real world installation of translation memory searching and <fixed-case>EBMT</fixed-case></title>
      <author><first>Rafał</first><last>Jaworski</last></author>
      <author><first>Renata</first><last>Ziemlińska</last></author>
      <pages>53</pages>
      <url hash="0e1c50b8">2014.eamt-1.8</url>
    </paper>
    <paper id="9">
      <title><fixed-case>EU</fixed-case>-Bridge – Bridges across the language divide</title>
      <pages>54</pages>
      <url hash="13c73e53">2014.eamt-1.9</url>
    </paper>
    <paper id="10">
      <title><fixed-case>M</fixed-case>ate<fixed-case>C</fixed-case>at</title>
      <author><first>Marcello</first><last>Federico</last></author>
      <pages>55</pages>
      <url hash="14ca6174">2014.eamt-1.10</url>
    </paper>
    <paper id="11">
      <title><fixed-case>PEDAL</fixed-case>: Post-editing with dynamic active learning</title>
      <pages>56</pages>
      <url hash="fea8d644">2014.eamt-1.11</url>
    </paper>
    <paper id="12">
      <title><fixed-case>CASMACAT</fixed-case>: cognitive analysis and statistical methods for advanced computer aided translation</title>
      <author><first>Philipp</first><last>Koehn</last></author>
      <author><first>Michael</first><last>Carl</last></author>
      <author><first>Francisco</first><last>Casacuberta</last></author>
      <author><first>Eva</first><last>Marcos</last></author>
      <pages>57</pages>
      <url hash="4937d58d">2014.eamt-1.12</url>
    </paper>
    <paper id="13">
      <title><fixed-case>ACCEPT</fixed-case>: Automated Community Content Editing <fixed-case>P</fixed-case>or<fixed-case>T</fixed-case>al</title>
      <pages>58</pages>
      <url hash="403232ec">2014.eamt-1.13</url>
    </paper>
    <paper id="14">
      <title>Source content analysis and training data selection impact on an <fixed-case>MT</fixed-case>-driven program design</title>
      <author><first>Olga</first><last>Beregovaya</last></author>
      <author><first>David</first><last>Landan</last></author>
      <pages>59</pages>
      <url hash="93746405">2014.eamt-1.14</url>
    </paper>
    <paper id="15">
      <title><fixed-case>T</fixed-case>aa<fixed-case>S</fixed-case> Terminology as a Service</title>
      <pages>60</pages>
      <url hash="56faedec">2014.eamt-1.15</url>
    </paper>
    <paper id="16">
      <title>Alignment symmetrisation optimization targeting phrase pivot statistical machine translation</title>
      <author><first>Ahmed El</first><last>Kholy</last></author>
      <author><first>Nizar</first><last>Habash</last></author>
      <pages>63–70</pages>
      <url hash="0ebe22f7">2014.eamt-1.16</url>
    </paper>
    <paper id="17">
      <title>Improving machine translation via triangulation and transliteration</title>
      <author><first>Nadir</first><last>Durrani</last></author>
      <author><first>Philipp</first><last>Koehn</last></author>
      <pages>71–78</pages>
      <url hash="f9fe7d17">2014.eamt-1.17</url>
    </paper>
    <paper id="18">
      <title><fixed-case>SEECAT</fixed-case>: <fixed-case>ASR</fixed-case> &amp; Eye-tracking enabled computer-assisted translation</title>
      <author><first>Mercedes</first><last>García-Martínez</last></author>
      <author><first>Karan</first><last>Singla</last></author>
      <author><first>Aniruddha</first><last>Tammewar</last></author>
      <author><first>Bartolomé</first><last>Mesa-Lao</last></author>
      <author><first>Ankita</first><last>Thakur</last></author>
      <author><first>Anusuya</first><last>M.A.</last></author>
      <author><first>Srinivas</first><last>Bangalore</last></author>
      <author><first>Michael</first><last>Carl</last></author>
      <pages>81-88</pages>
      <url hash="ca5d9ffe">2014.eamt-1.18</url>
    </paper>
    <paper id="19">
      <title><fixed-case>M</fixed-case>oses <fixed-case>SMT</fixed-case> as an aid to translators in the production process</title>
      <author><first>Falko</first><last>Schaefer</last></author>
      <author><first>Joeri</first><last>van de Walle</last></author>
      <author><first>Joachim</first><last>van den Bogaert</last></author>
      <pages>89–92</pages>
      <url hash="2997bd81">2014.eamt-1.19</url>
    </paper>
    <paper id="20">
      <title>Assumptions, expectations and outliers in post-editing</title>
      <author><first>Laura</first><last>Casanellas</last></author>
      <author><first>Lena</first><last>Marg</last></author>
      <pages>93–97</pages>
      <url hash="def70022">2014.eamt-1.20</url>
    </paper>
    <paper id="21">
      <title>Document-level translation quality estimation: exploring discourse and pseudo-references</title>
      <author><first>Carolina</first><last>Scarton</last></author>
      <author><first>Lucia</first><last>Specia</last></author>
      <pages>101–108</pages>
      <url hash="2425cf80">2014.eamt-1.21</url>
    </paper>
    <paper id="22">
      <title>Quality estimation for translation selection</title>
      <author><first>Kahif</first><last>Shah</last></author>
      <author><first>Lucia</first><last>Specia</last></author>
      <pages>109–116</pages>
      <url hash="acb62766">2014.eamt-1.22</url>
    </paper>
    <paper id="23">
      <title>An efficient two-pass decoder for <fixed-case>SMT</fixed-case> using word confidence estimation</title>
      <author><first>Ngoc-Quang</first><last>Luong</last></author>
      <author><first>Laurent</first><last>Besacier</last></author>
      <author><first>Benjamin</first><last>Lecouteux</last></author>
      <pages>117–124</pages>
      <url hash="c4cbf716">2014.eamt-1.23</url>
    </paper>
    <paper id="24">
      <title><fixed-case>HBB</fixed-case>4<fixed-case>ALL</fixed-case>: media accessibility for <fixed-case>HBB</fixed-case> <fixed-case>TV</fixed-case></title>
      <pages>127</pages>
      <url hash="31dbbea5">2014.eamt-1.24</url>
    </paper>
    <paper id="25">
      <title><fixed-case>ALST</fixed-case>: linguistic and sensorial accessibility: technologies for voice-over and audio description</title>
      <pages>128</pages>
      <url hash="665cc1a8">2014.eamt-1.25</url>
    </paper>
    <paper id="26">
      <title><fixed-case>QTL</fixed-case>eap: quality translation with deep language engineering approaches</title>
      <pages>129</pages>
      <url hash="b1bf4c75">2014.eamt-1.26</url>
    </paper>
    <paper id="27">
      <title>The <fixed-case>ASMAT</fixed-case> project – <fixed-case>A</fixed-case>rabic social media analysis tools</title>
      <pages>130</pages>
      <url hash="a23878b6">2014.eamt-1.27</url>
    </paper>
    <paper id="28">
      <title><fixed-case>XL</fixed-case>ike: cross-lingual knowledge extraction</title>
      <pages>131</pages>
      <url hash="e5a5a1f0">2014.eamt-1.28</url>
    </paper>
    <paper id="29">
      <title><fixed-case>A</fixed-case>bu-<fixed-case>M</fixed-case>a<fixed-case>T</fixed-case>ran: automatic building of machine translation</title>
      <pages>132</pages>
      <url hash="62c99d31">2014.eamt-1.29</url>
    </paper>
    <paper id="30">
      <title><fixed-case>QTL</fixed-case>aunch<fixed-case>P</fixed-case>ad: preparation and launch of a large-scale action for quality translation technology</title>
      <pages>133</pages>
      <url hash="87511e70">2014.eamt-1.30</url>
    </paper>
    <paper id="31">
      <title>Able-to-Include: Improving accessibility for people with intellectual disabilities</title>
      <pages>134</pages>
      <url hash="c71ec62f">2014.eamt-1.31</url>
    </paper>
    <paper id="32">
      <title><fixed-case>SCATE</fixed-case>: Smart Computer Aided Translation Environment</title>
      <pages>135</pages>
      <url hash="b7c38ee2">2014.eamt-1.32</url>
    </paper>
    <paper id="33">
      <title>Kanjingo – a mobile app for post-editing</title>
      <author><first>Sharon</first><last>O’Brien</last></author>
      <author><first>Joss</first><last>Moorkens</last></author>
      <author><first>Joris</first><last>Vreeke</last></author>
      <pages>137–141</pages>
      <url hash="7306f01c">2014.eamt-1.33</url>
    </paper>
    <paper id="34">
      <title>Standard language variety conversion for content localisation via <fixed-case>SMT</fixed-case></title>
      <author><first>Federico</first><last>Fancellu</last></author>
      <author><first>Andy</first><last>Way</last></author>
      <author><first>Morgan</first><last>O’Brien</last></author>
      <pages>143–149</pages>
      <url hash="ddbdec78">2014.eamt-1.34</url>
    </paper>
    <paper id="35">
      <title>Collaborative web <fixed-case>UI</fixed-case> localization, or how to build feature-rich multilingual datasets</title>
      <author><first>Vicent</first><last>Alabau</last></author>
      <author><first>Luis A.</first><last>Leiva</last></author>
      <pages>151–154</pages>
      <url hash="9e9af54e">2014.eamt-1.35</url>
    </paper>
    <paper id="36">
      <title>Using the <fixed-case>ACCEPT</fixed-case> framework to conduct an online community-based translation evaluation study</title>
      <author><first>Linda</first><last>Mitchell</last></author>
      <author><first>Johann</first><last>Roturier</last></author>
      <author><first>David</first><last>Silva</last></author>
      <pages>155–158</pages>
      <url hash="4267a986">2014.eamt-1.36</url>
    </paper>
    <paper id="37">
      <title>Handling technical <fixed-case>OOV</fixed-case>s in <fixed-case>SMT</fixed-case></title>
      <author><first>Mark</first><last>Fishel</last></author>
      <author><first>Rico</first><last>Sennrich</last></author>
      <pages>159–162</pages>
      <url hash="2ea4bc60">2014.eamt-1.37</url>
    </paper>
    <paper id="38">
      <title>Using a new analytic measure for the annotation and analysis of <fixed-case>MT</fixed-case> errors on real data</title>
      <author><first>Arle</first><last>Lommel</last></author>
      <author><first>Aljoscha</first><last>Burchardt</last></author>
      <author><first>Maja</first><last>Popović</last></author>
      <author><first>Kim</first><last>Harris</last></author>
      <author><first>Eleftherios</first><last>Avramidis</last></author>
      <author><first>Hans</first><last>Uszkoreit</last></author>
      <pages>165–172</pages>
      <url hash="380b93d6">2014.eamt-1.38</url>
    </paper>
    <paper id="39">
      <title>Complexity of spoken versus written language for machine translation</title>
      <author><first>Nicholas</first><last>Ruiz</last></author>
      <author><first>Marcello</first><last>Federico</last></author>
      <pages>173–180</pages>
      <url hash="44cf984b">2014.eamt-1.39</url>
    </paper>
    <paper id="40">
      <title>Does post-editing increase usability? A study with <fixed-case>B</fixed-case>razilian <fixed-case>P</fixed-case>ortuguese as target language</title>
      <author><first>Sheila</first><last>Castilho</last></author>
      <author><first>Sharon</first><last>O’Brien</last></author>
      <author><first>Fabio</first><last>Alves</last></author>
      <author><first>Morgan</first><last>O’Brien</last></author>
      <pages>183–190</pages>
      <url hash="aef66aad">2014.eamt-1.40</url>
    </paper>
    <paper id="41">
      <title>Relations between different types of post-editing operations, cognitive effort and temporal effort</title>
      <author><first>Maja</first><last>Popović</last></author>
      <author><first>Arle</first><last>Lommel</last></author>
      <author><first>Aljoscha</first><last>Burchardt</last></author>
      <author><first>Eleftherios</first><last>Avramidis</last></author>
      <author><first>Hans</first><last>Uszkoreit</last></author>
      <pages>191–198</pages>
      <url hash="92adf742">2014.eamt-1.41</url>
    </paper>
    <paper id="42">
      <title>Approaching machine translation from translation studies – a perspective on commonalities, potentials, differences</title>
      <author><first>Oliver</first><last>Čulo</last></author>
      <pages>199-206</pages>
      <url hash="7b1310e0">2014.eamt-1.42</url>
    </paper>
    <paper id="43">
      <title>Application of machine translation in localization into low-resourced languages</title>
      <author><first>Raivis</first><last>Skadiņš</last></author>
      <author><first>Mārcis</first><last>Pinnis</last></author>
      <author><first>Andrejs</first><last>Vasiļjevs</last></author>
      <author><first>Inguna</first><last>Skadiņa</last></author>
      <author><first>Tomas</first><last>Hudik</last></author>
      <pages>209–216</pages>
      <url hash="641083b8">2014.eamt-1.43</url>
    </paper>
    <paper id="44">
      <title><fixed-case>SMT</fixed-case> of <fixed-case>G</fixed-case>erman patents at <fixed-case>WIPO</fixed-case>: decompounding and verb structure pre-reordering</title>
      <author><first>Marcin</first><last>Junczys-Dowmunt</last></author>
      <author><first>Bruno</first><last>Pouliquen</last></author>
      <pages>217–220</pages>
      <url hash="d64d2ef1">2014.eamt-1.44</url>
    </paper>
    <paper id="45">
      <title>Extrinsic evaluation of web-crawlers in machine translation: a study on <fixed-case>C</fixed-case>roatian-<fixed-case>E</fixed-case>nglish for the tourism domain</title>
      <author><first>Antonio</first><last>Toral</last></author>
      <author><first>Raphael</first><last>Rubino</last></author>
      <author><first>Miquel</first><last>Esplà-Gomis</last></author>
      <author><first>Tommi</first><last>Pirinen</last></author>
      <author><first>Andy</first><last>Way</last></author>
      <author><first>Gema</first><last>Ramírez-Sánchez</last></author>
      <pages>221–224</pages>
      <url hash="c8b3d19a">2014.eamt-1.45</url>
    </paper>
  </volume>
</collection>