2020.amta.xml

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<collection id="2020.amta">
  <volume id="research" ingest-date="2020-09-29">
    <meta>
      <booktitle>Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)</booktitle>
      <publisher>Association for Machine Translation in the Americas</publisher>
      <address>Virtual</address>
      <month>October</month>
      <year>2020</year>
      <url hash="cf58b1c3">2020.amta-research</url>
      <editor><first>Michael</first><last>Denkowski</last></editor>
      <editor><first>Christian</first><last>Federmann</last></editor>
    </meta>
    <frontmatter>
      <url hash="c999c44a">2020.amta-research.0</url>
    </frontmatter>
    <paper id="1">
      <title>A New Approach to Parameter-Sharing in Multilingual Neural Machine Translation</title>
      <author><first>Benyamin</first><last>Ahmadnia</last></author>
      <author><first>Bonnie</first><last>Dorr</last></author>
      <pages>1-6</pages>
      <url hash="80433d80">2020.amta-research.1</url>
    </paper>
    <paper id="2">
      <title>Investigation of Transformer-based Latent Attention Models for Neural Machine Translation</title>
      <author><first>Parnia</first><last>Bahar</last></author>
      <author><first>Nikita</first><last>Makarov</last></author>
      <author><first>Hermann</first><last>Ney</last></author>
      <pages>7-20</pages>
      <url hash="ab377789">2020.amta-research.2</url>
    </paper>
    <paper id="3">
      <title>Machine Translation with Unsupervised Length-Constraints</title>
      <author><first>Jan</first><last>Niehues</last></author>
      <pages>21-35</pages>
      <url hash="1703cda0">2020.amta-research.3</url>
    </paper>
    <paper id="4">
      <title>Constraining the Transformer <fixed-case>NMT</fixed-case> Model with Heuristic Grid Beam Search</title>
      <author><first>Guodong</first><last>Xie</last></author>
      <author><first>Andy</first><last>Way</last></author>
      <pages>36-49</pages>
      <url hash="bfa1dbb6">2020.amta-research.4</url>
    </paper>
    <paper id="5">
      <title>Machine Translation System Selection from Bandit Feedback</title>
      <author><first>Jason</first><last>Naradowsky</last></author>
      <author><first>Xuan</first><last>Zhang</last></author>
      <author><first>Kevin</first><last>Duh</last></author>
      <pages>50-63</pages>
      <url hash="7a7c697c">2020.amta-research.5</url>
    </paper>
    <paper id="6">
      <title>Generative latent neural models for automatic word alignment</title>
      <author><first>Anh Khoa</first><last>Ngo Ho</last></author>
      <author><first>François</first><last>Yvon</last></author>
      <pages>64-77</pages>
      <url hash="b52b0b01">2020.amta-research.6</url>
    </paper>
    <paper id="7">
      <title>The Impact of Indirect Machine Translation on Sentiment Classification</title>
      <author><first>Alberto</first><last>Poncelas</last></author>
      <author><first>Pintu</first><last>Lohar</last></author>
      <author><first>James</first><last>Hadley</last></author>
      <author><first>Andy</first><last>Way</last></author>
      <pages>78-88</pages>
      <url hash="0acc9959">2020.amta-research.7</url>
    </paper>
    <paper id="8">
      <title>Towards Handling Compositionality in Low-Resource Bilingual Word Induction</title>
      <author><first>Viktor</first><last>Hangya</last></author>
      <author><first>Alexander</first><last>Fraser</last></author>
      <pages>89-101</pages>
      <url hash="06ef2839">2020.amta-research.8</url>
    </paper>
    <paper id="9">
      <title>The <fixed-case>O</fixed-case>pen<fixed-case>NMT</fixed-case> Neural Machine Translation Toolkit: 2020 Edition</title>
      <author><first>Guillaume</first><last>Klein</last></author>
      <author><first>François</first><last>Hernandez</last></author>
      <author><first>Vincent</first><last>Nguyen</last></author>
      <author><first>Jean</first><last>Senellart</last></author>
      <pages>102-109</pages>
      <url hash="12b210d9">2020.amta-research.9</url>
    </paper>
    <paper id="10">
      <title>The Sockeye 2 Neural Machine Translation Toolkit at <fixed-case>AMTA</fixed-case> 2020</title>
      <author><first>Tobias</first><last>Domhan</last></author>
      <author><first>Michael</first><last>Denkowski</last></author>
      <author><first>David</first><last>Vilar</last></author>
      <author><first>Xing</first><last>Niu</last></author>
      <author><first>Felix</first><last>Hieber</last></author>
      <author><first>Kenneth</first><last>Heafield</last></author>
      <pages>110-115</pages>
      <url hash="ea31ea44">2020.amta-research.10</url>
    </paper>
    <paper id="11">
      <title><fixed-case>THUMT</fixed-case>: An Open-Source Toolkit for Neural Machine Translation</title>
      <author><first>Zhixing</first><last>Tan</last></author>
      <author><first>Jiacheng</first><last>Zhang</last></author>
      <author><first>Xuancheng</first><last>Huang</last></author>
      <author><first>Gang</first><last>Chen</last></author>
      <author><first>Shuo</first><last>Wang</last></author>
      <author><first>Maosong</first><last>Sun</last></author>
      <author><first>Huanbo</first><last>Luan</last></author>
      <author id="yang-liu-ict"><first>Yang</first><last>Liu</last></author>
      <pages>116-122</pages>
      <url hash="05778535">2020.amta-research.11</url>
    </paper>
    <paper id="12">
      <title>Dynamic Masking for Improved Stability in Online Spoken Language Translation</title>
      <author><first>Yuekun</first><last>Yao</last></author>
      <author><first>Barry</first><last>Haddow</last></author>
      <pages>123-136</pages>
      <url hash="5bd97e2b">2020.amta-research.12</url>
    </paper>
    <paper id="13">
      <title>On Target Segmentation for Direct Speech Translation</title>
      <author><first>Mattia A.</first><last>Di Gangi</last></author>
      <author><first>Marco</first><last>Gaido</last></author>
      <author><first>Matteo</first><last>Negri</last></author>
      <author><first>Marco</first><last>Turchi</last></author>
      <pages>137-150</pages>
      <url hash="351d5d8d">2020.amta-research.13</url>
    </paper>
    <paper id="14">
      <title>Domain Robustness in Neural Machine Translation</title>
      <author><first>Mathias</first><last>Müller</last></author>
      <author><first>Annette</first><last>Rios</last></author>
      <author><first>Rico</first><last>Sennrich</last></author>
      <pages>151-164</pages>
      <url hash="4c44c3d5">2020.amta-research.14</url>
    </paper>
    <paper id="15">
      <title>Low-Resource <fixed-case>NMT</fixed-case>: an Empirical Study on the Effect of Rich Morphological Word Segmentation on <fixed-case>I</fixed-case>nuktitut</title>
      <author><first>Tan Ngoc</first><last>Le</last></author>
      <author><first>Fatiha</first><last>Sadat</last></author>
      <pages>165-172</pages>
      <url hash="89b200df">2020.amta-research.15</url>
    </paper>
  </volume>
  <volume id="user" ingest-date="2020-10-22">
    <meta>
      <booktitle>Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 2: User Track)</booktitle>
      <publisher>Association for Machine Translation in the Americas</publisher>
      <address>Virtual</address>
      <month>October</month>
      <year>2020</year>
      <editor><first>Janice</first><last>Campbell</last></editor>
      <editor><first>Dmitriy</first><last>Genzel</last></editor>
      <editor><first>Ben</first><last>Huyck</last></editor>
      <editor><first>Patricia</first><last>O’Neill-Brown</last></editor>
      <url hash="b3fa84ec">2020.amta-user</url>
    </meta>
    <frontmatter>
      <url hash="971b5a4a">2020.amta-user.0</url>
    </frontmatter>
    <paper id="1">
      <title>Operationalizing <fixed-case>MT</fixed-case> Quality Estimation</title>
      <author><first>Miklos</first><last>Urban</last></author>
      <author><first>Maribel</first><last>Rodríguez Molina</last></author>
      <pages>1-31</pages>
      <attachment type="presentation" hash="5d8dae04">2020.amta-user.1.Presentation.pdf</attachment>
    </paper>
    <paper id="2">
      <title>In search of an acceptability/unacceptability threshold in machine translation post-editing automated metrics</title>
      <author><first>Lucía</first><last>Guerrero</last></author>
      <pages>32-47</pages>
      <attachment type="presentation" hash="994a605a">2020.amta-user.2.Presentation.pdf</attachment>
    </paper>
    <paper id="3">
      <title>A Survey of Qualitative Error Analysis for Neural Machine Translation Systems</title>
      <author><first>Denise</first><last>Díaz</last></author>
      <author><first>James</first><last>Cross</last></author>
      <author><first>Vishrav</first><last>Chaudhary</last></author>
      <author><first>Ahmed</first><last>Kishky</last></author>
      <author><first>Philipp</first><last>Koehn</last></author>
      <pages>48-77</pages>
      <attachment type="presentation" hash="58ee4f3a">2020.amta-user.3.Presentation.pdf</attachment>
    </paper>
    <paper id="4">
      <title><fixed-case>COMET</fixed-case> - Deploying a New State-of-the-art <fixed-case>MT</fixed-case> Evaluation Metric in Production</title>
      <author><first>Craig</first><last>Stewart</last></author>
      <author><first>Ricardo</first><last>Rei</last></author>
      <author><first>Catarina</first><last>Farinha</last></author>
      <author><first>Alon</first><last>Lavie</last></author>
      <pages>78-109</pages>
      <attachment type="presentation" hash="3fc0edf6">2020.amta-user.4.Presentation.pdf</attachment>
    </paper>
    <paper id="5">
      <title>Scaling up automatic translation for software: reduction of post-editing volume with well-defined customer impact</title>
      <author><first>Dag</first><last>Schmidtke</last></author>
      <pages>110-123</pages>
      <attachment type="presentation" hash="e78b71c6">2020.amta-user.5.Presentation.pdf</attachment>
    </paper>
    <paper id="6">
      <title>Auto <fixed-case>MT</fixed-case> Quality Prediction Solution and Best Practice</title>
      <author><first>Martin Lei</first><last>Xiao</last></author>
      <author><first>York</first><last>Jin</last></author>
      <pages>124-137</pages>
      <attachment type="presentation" hash="097fecfb">2020.amta-user.6.Presentation.pdf</attachment>
    </paper>
    <paper id="7">
      <title>A language comparison of Human Evaluation and Quality Estimation</title>
      <author><first>Silvio</first><last>Picinini</last></author>
      <author><first>Adam</first><last>Bittlingmayer</last></author>
      <pages>138-161</pages>
      <attachment type="presentation" hash="7382478b">2020.amta-user.7.Presentation.pdf</attachment>
    </paper>
    <paper id="8">
      <title>Machine Translation quality across demographic dialectal variation in Social Media.</title>
      <author><first>Adithya</first><last>Renduchintala</last></author>
      <author><first>Dmitriy</first><last>Genzel</last></author>
      <pages>162-189</pages>
      <attachment type="presentation" hash="9a435854">2020.amta-user.8.Presentation.pdf</attachment>
    </paper>
    <paper id="9">
      <title>Making the business case for adopting <fixed-case>MT</fixed-case></title>
      <author><first>Rodrigo</first><last>Cristina</last></author>
      <pages>190-203</pages>
      <attachment type="presentation" hash="c03cf355">2020.amta-user.9.Presentation.pdf</attachment>
    </paper>
    <paper id="10">
      <title>Flexible Customization of a Single Neural Machine Translation System with Multi-dimensional Metadata Inputs</title>
      <author><first>Evgeny</first><last>Matusov</last></author>
      <author><first>Patrick</first><last>Wilken</last></author>
      <author><first>Christian</first><last>Herold</last></author>
      <pages>204-216</pages>
      <url hash="96f44f74">2020.amta-user.10</url>
    </paper>
    <paper id="11">
      <title>Customized Neural Machine Translation Systems for the <fixed-case>S</fixed-case>wiss Legal Domain</title>
      <author><first>Rubén</first><last>Martínez-Domínguez</last></author>
      <author><first>Matīss</first><last>Rikters</last></author>
      <author><first>Artūrs</first><last>Vasiļevskis</last></author>
      <author><first>Mārcis</first><last>Pinnis</last></author>
      <author><first>Paula</first><last>Reichenberg</last></author>
      <pages>217-223</pages>
      <url hash="c50305b2">2020.amta-user.11</url>
    </paper>
    <paper id="12">
      <title>Machine Translation Hype, Crash-Tested by Translation Students</title>
      <author><first>Jon</first><last>Ritzdorf</last></author>
      <pages>224-236</pages>
      <attachment type="presentation" hash="b18bd32e">2020.amta-user.12.Presentation.pdf</attachment>
    </paper>
    <paper id="13">
      <title>Use <fixed-case>MT</fixed-case> to Simplify and Speed Up Your Alignment for <fixed-case>TM</fixed-case> Creation</title>
      <author><first>Judith</first><last>Klein</last></author>
      <pages>237-269</pages>
      <attachment type="presentation" hash="f5e27782">2020.amta-user.13.Presentation.pdf</attachment>
    </paper>
    <paper id="14">
      <title>Selection of <fixed-case>MT</fixed-case> Systems in Translation Workflows</title>
      <author><first>Aleš</first><last>Tamchyna</last></author>
      <pages>270-291</pages>
      <attachment type="presentation" hash="6e740281">2020.amta-user.14.Presentation.pdf</attachment>
    </paper>
    <paper id="15">
      <title>Beyond <fixed-case>MT</fixed-case>: Opening Doors for an <fixed-case>NLP</fixed-case> Pipeline</title>
      <author><first>Alex</first><last>Yanishevsky</last></author>
      <pages>292-308</pages>
      <attachment type="presentation" hash="1fd594b6">2020.amta-user.15.Presentation.pdf</attachment>
    </paper>
    <paper id="16">
      <title>Building Multi-Purpose <fixed-case>MT</fixed-case> Portfolio</title>
      <author><first>Konstantin</first><last>Savenkov</last></author>
      <pages>309-339</pages>
      <attachment type="presentation" hash="f075070a">2020.amta-user.16.Presentation.pdf</attachment>
    </paper>
    <paper id="17">
      <title>Simultaneous Speech Translation in <fixed-case>G</fixed-case>oogle <fixed-case>T</fixed-case>ranslate</title>
      <author><first>Jeff</first><last>Pitman</last></author>
      <pages>340-381</pages>
      <attachment type="presentation" hash="d4f5592b">2020.amta-user.17.Presentation.pdf</attachment>
    </paper>
    <paper id="18">
      <title>Understanding Challenges to Enterprise Machine Translation Adoption</title>
      <author><first>Bart</first><last>Maczynski</last></author>
      <pages>382-408</pages>
      <attachment type="presentation" hash="c496a528">2020.amta-user.18.Presentation.pdf</attachment>
    </paper>
    <paper id="19">
      <title>Lexically Constrained Decoding for Sequence Generation</title>
      <author><first>Tony</first><last>O’Dowd</last></author>
      <pages>409-435</pages>
      <attachment type="presentation" hash="3e92c5a3">2020.amta-user.19.Presentation.pdf</attachment>
    </paper>
    <paper id="20">
      <title>Building Salesforce Neural Machine Translation System</title>
      <author><first>Kazuma</first><last>Hashimoto</last></author>
      <author><first>Raffaella</first><last>Buschiazzo</last></author>
      <author><first>Caiming</first><last>Xiong</last></author>
      <author><first>Teresa</first><last>Marxhall</last></author>
      <pages>436-451</pages>
      <attachment type="presentation" hash="8439f824">2020.amta-user.20.Presentation.pdf</attachment>
    </paper>
    <paper id="21">
      <title>Successful Tech Transfer of <fixed-case>MT</fixed-case> Research in Government</title>
      <author><first>Kathy</first><last>Baker</last></author>
      <pages>452-468</pages>
      <attachment type="presentation" hash="b8b84196">2020.amta-user.21.Presentation.pdf</attachment>
    </paper>
    <paper id="22">
      <title>Plugging into Trados: Augmenting Translation in the Enclave</title>
      <author><first>Corey</first><last>Miller</last></author>
      <author><first>Chiara</first><last>Higgins</last></author>
      <author><first>Paige</first><last>Havens</last></author>
      <author><first>Steven</first><last>Van Guilder</last></author>
      <author><first>Rodney</first><last>Morris</last></author>
      <author><first>Danielle</first><last>Silverman</last></author>
      <pages>469-483</pages>
      <url hash="9708597b">2020.amta-user.22</url>
      <attachment type="presentation" hash="5cfca763">2020.amta-user.22.Presentation.pdf</attachment>
    </paper>
    <paper id="23">
      <title><fixed-case>PEMT</fixed-case> for the Public Sector: Discovery, Scoping, and Delivery</title>
      <author><first>Konstantine</first><last>Boukhvalov</last></author>
      <author><first>Eileen</first><last>Block</last></author>
      <pages>484-513</pages>
      <attachment type="presentation" hash="f2d295eb">2020.amta-user.23.Presentation.pdf</attachment>
    </paper>
    <paper id="24">
      <title>Shareable <fixed-case>TTS</fixed-case> Components</title>
      <author><first>Steve</first><last>LaRocca</last></author>
      <pages>514-524</pages>
      <attachment type="presentation" hash="ce2ce835">2020.amta-user.24.Presentation.pdf</attachment>
    </paper>
    <paper id="25">
      <title>A Tale of Eight Countries or the <fixed-case>EU</fixed-case> Council Presidency Translator in Retrospect</title>
      <author><first>Mārcis</first><last>Pinnis</last></author>
      <author><first>Toms</first><last>Bergmanis</last></author>
      <author><first>Kristīne</first><last>Metuzāle</last></author>
      <author><first>Valters</first><last>Šics</last></author>
      <author><first>Artūrs</first><last>Vasiļevskis</last></author>
      <author><first>Andrejs</first><last>Vasiļjevs</last></author>
      <pages>525-546</pages>
      <url hash="e759a91a">2020.amta-user.25</url>
      <attachment type="presentation" hash="5f0d71c0">2020.amta-user.25.Presentation.pdf</attachment>
    </paper>
    <paper id="26">
      <title><fixed-case>A</fixed-case>merican <fixed-case>S</fixed-case>ign <fixed-case>L</fixed-case>anguage (<fixed-case>ASL</fixed-case>) to <fixed-case>E</fixed-case>nglish Machine Translation</title>
      <author><first>Patricia</first><last>O’Neill-Brown</last></author>
      <pages>547-562</pages>
      <attachment type="presentation" hash="167e2012">2020.amta-user.26.Presentation.pdf</attachment>
    </paper>
    <paper id="27">
      <title>Why is it so Hard to Develop Comparable Translation Evaluations and How Can Standards Help?</title>
      <author><first>Jennifer</first><last>DeCamp</last></author>
      <pages>563-576</pages>
      <attachment type="presentation" hash="f9693fa1">2020.amta-user.27.Presentation.pdf</attachment>
    </paper>
    <paper id="28">
      <title>Using Contemporary <fixed-case>US</fixed-case> Government Data to Train Custom <fixed-case>MT</fixed-case> for <fixed-case>COVID</fixed-case>-19</title>
      <author><first>Achim</first><last>Ruopp</last></author>
      <pages>577-592</pages>
      <attachment type="presentation" hash="62008925">2020.amta-user.28.Presentation.pdf</attachment>
    </paper>
  </volume>
  <volume id="pemdt" ingest-date="2020-11-16">
    <meta>
      <booktitle>Proceedings of 1st Workshop on Post-Editing in Modern-Day Translation</booktitle>
      <publisher>Association for Machine Translation in the Americas</publisher>
      <address>Virtual</address>
      <month>October</month>
      <year>2020</year>
      <editor><first>John E.</first><last>Ortega</last></editor>
      <editor><first>Marcello</first><last>Federico</last></editor>
      <editor><first>Constantin</first><last>Orasan</last></editor>
      <editor><first>Maja</first><last>Popovic</last></editor>
    </meta>
    <frontmatter>
      <url hash="d2fc4651">2020.amta-pemdt.0</url>
    </frontmatter>
    <paper id="1">
      <title>Keynote: Evaluating <fixed-case>MT</fixed-case> based on translation speed - a review of the status quo and a proposal for the future</title>
      <author><first>John</first><last>Moran</last></author>
      <pages>1-15</pages>
      <attachment type="presentation" hash="d01d59b8">2020.amta-pemdt.1.Presentation.pdf</attachment>
    </paper>
    <paper id="2">
      <title>Help Me! Those Free and/or Open Source Machine Translation Tools!</title>
      <author><first>Serene</first><last>Su</last></author>
      <pages>16-37</pages>
      <attachment type="presentation" hash="341917bc">2020.amta-pemdt.2.Presentation.pdf</attachment>
    </paper>
    <paper id="3">
      <title><fixed-case>MT</fixed-case> Quality Estimator - <fixed-case>QUEST</fixed-case></title>
      <author><first>Christopher</first><last>Reid</last></author>
      <author><first>Patrick</first><last>McCrae</last></author>
      <pages>38-55</pages>
      <attachment type="presentation" hash="5d7d496e">2020.amta-pemdt.3.Presentation.pdf</attachment>
    </paper>
    <paper id="4">
      <title><fixed-case>MT</fixed-case> Post Editing challenges: Training happy and successful posteditors</title>
      <author><first>Luciana</first><last>Ramos</last></author>
      <pages>56-60</pages>
      <attachment type="presentation" hash="73e33c26">2020.amta-pemdt.4.Presentation.pdf</attachment>
    </paper>
    <paper id="5">
      <title><fixed-case>COPECO</fixed-case>: a Collaborative Post-Editing Corpus in Pedagogical Context</title>
      <author><first>Jonathan</first><last>Mutal</last></author>
      <author><first>Pierrette</first><last>Bouillon</last></author>
      <author><first>Perrine</first><last>Schumacher</last></author>
      <author><first>Johanna</first><last>Gerlach</last></author>
      <pages>61-78</pages>
      <attachment type="presentation" hash="b3e76e10">2020.amta-pemdt.5.Presentation.pdf</attachment>
    </paper>
    <paper id="6">
      <title><fixed-case>MT</fixed-case> for Subtitling: Investigating professional translators’ user experience and feedback</title>
      <author><first>Maarit</first><last>Koponen</last></author>
      <author><first>Umut</first><last>Sulubacak</last></author>
      <author><first>Kaisa</first><last>Vitikainen</last></author>
      <author><first>Jörg</first><last>Tiedemann</last></author>
      <pages>79-92</pages>
      <url hash="2156b579">2020.amta-pemdt.6</url>
    </paper>
    <paper id="7">
      <title>Improving the Multi-Modal Post-Editing (<fixed-case>MMPE</fixed-case>) <fixed-case>CAT</fixed-case> Environment based on Professional Translators’ Feedback</title>
      <author><first>Nico</first><last>Herbig</last></author>
      <author><first>Santanu</first><last>Pal</last></author>
      <author><first>Tim</first><last>Düwel</last></author>
      <author><first>Raksha</first><last>Shenoy</last></author>
      <author><first>Antonio</first><last>Krüger</last></author>
      <author><first>Josef</first><last>van Genabith</last></author>
      <pages>93-108</pages>
      <url hash="aeece50b">2020.amta-pemdt.7</url>
    </paper>
    <paper id="8">
      <title>Translation vs Post-editing of <fixed-case>NMT</fixed-case> Output: Insights from the <fixed-case>E</fixed-case>nglish-<fixed-case>G</fixed-case>reek language pair</title>
      <author><first>Maria</first><last>Stasimioti</last></author>
      <author><first>Vilelmini</first><last>Sosoni</last></author>
      <pages>109-124</pages>
      <url hash="5c3ddebc">2020.amta-pemdt.8</url>
    </paper>
  </volume>
  <volume id="impact" ingest-date="2020-11-23">
    <meta>
      <booktitle>Workshop on the Impact of Machine Translation (iMpacT 2020)</booktitle>
      <publisher>Association for Machine Translation in the Americas</publisher>
      <address>Virtual</address>
      <month>October</month>
      <year>2020</year>
      <editor><first>Sharon</first><last>O'Brien</last></editor>
      <editor><first>Michel</first><last>Simard</last></editor>
      <url hash="53cbcb4a">2020.amta-impact</url>
    </meta>
    <frontmatter>
      <attachment type="presentation" hash="1458745e">2020.amta-impact.0.Presentation.pdf</attachment>
    </frontmatter>
    <paper id="1">
      <title>The Machine is Blind: Bottom-Up Feedback on the Impact of <fixed-case>MT</fixed-case> on Human Translation Performance</title>
      <author><first>Rhett</first><last>Whitaker</last></author>
      <pages>1-17</pages>
      <attachment type="presentation" hash="089c2e0d">2020.amta-impact.1.Presentation.pdf</attachment>
    </paper>
    <paper id="2">
      <title>Responsible ‘Gist’ <fixed-case>MT</fixed-case> Use in the Age of Neural <fixed-case>MT</fixed-case></title>
      <author><first>Marianna J.</first><last>Martindale</last></author>
      <pages>18-45</pages>
      <attachment type="presentation" hash="a4973739">2020.amta-impact.2.Presentation.pdf</attachment>
    </paper>
    <paper id="3">
      <title>A Different, Ethical Machine Translation is Possible: <fixed-case>E</fixed-case>nglish-<fixed-case>C</fixed-case>atalan Free/Open-Source Neural Machine Translation</title>
      <author><first>Vicent</first><last>Briva-Iglesias</last></author>
      <pages>46-61</pages>
      <attachment type="presentation" hash="861be8fa">2020.amta-impact.3.Presentation.pdf</attachment>
    </paper>
    <paper id="4">
      <title>A Case Study of Natural Gender Phenomena in Translation: A Comparison of <fixed-case>G</fixed-case>oogle <fixed-case>T</fixed-case>ranslate, Bing <fixed-case>M</fixed-case>icrosoft Translator and <fixed-case>D</fixed-case>eep<fixed-case>L</fixed-case> for <fixed-case>E</fixed-case>nglish to <fixed-case>I</fixed-case>talian, <fixed-case>F</fixed-case>rench and <fixed-case>S</fixed-case>panish</title>
      <author><first>Argentina Anna</first><last>Rescigno</last></author>
      <author><first>Johanna</first><last>Monti</last></author>
      <author><first>Andy</first><last>Way</last></author>
      <author><first>Eva</first><last>Vanmassenhove</last></author>
      <pages>62-90</pages>
      <attachment type="presentation" hash="e3b61018">2020.amta-impact.4.Presentation.pdf</attachment>
    </paper>
    <paper id="5">
      <title>Empowering translators of marginalized languages through the use of language technology</title>
      <author><first>Alp</first><last>Öktem</last></author>
      <author><first>Manuel</first><last>Locria</last></author>
      <author><first>Eric</first><last>Paquin</last></author>
      <author><first>Grace</first><last>Tang</last></author>
      <pages>91-122</pages>
      <attachment type="presentation" hash="8b993899">2020.amta-impact.5.Presentation.pdf</attachment>
    </paper>
    <paper id="6">
      <title>Exploring Greater Impact: Business Translation Beyond Localization?</title>
      <author><first>Kirti</first><last>Vashee</last></author>
      <pages>123-151</pages>
      <attachment type="presentation" hash="e9ec082b">2020.amta-impact.6.Presentation.pdf</attachment>
    </paper>
    <paper id="7">
      <title>Predictive Translation Memory in the Wild - A Study of Interactive Machine Translation Use on Lilt</title>
      <author><first>Geza</first><last>Kovacs</last></author>
      <pages>152-216</pages>
      <attachment type="presentation" hash="ff0b8def">2020.amta-impact.7.Presentation.pdf</attachment>
    </paper>
  </volume>
</collection>