{"id":773,"date":"2021-09-08T17:30:37","date_gmt":"2021-09-08T17:30:37","guid":{"rendered":"https:\/\/www.asling.org\/tc43\/?page_id=773"},"modified":"2022-11-16T13:27:11","modified_gmt":"2022-11-16T13:27:11","slug":"confirmed-presentations-in-alpha","status":"publish","type":"page","link":"https:\/\/asling.org\/tc44\/confirmed-presentations-in-alpha\/","title":{"rendered":"Presentations in alphabetical order"},"content":{"rendered":"
\n\n

Below is a list of Presentations<\/em> (status: 5 November 2022)<\/h2>\n\n\n\n

Authors have been informed that their submission has been accepted. All who have reconfirmed<\/strong> that they will attend and present are listed with links below to their abstracts, as well as presenters’ and, as applicable, co-authors’ bio details.<\/p>\n\n\n

\n\nIn alphabetical order by TITLE<\/strong><\/span>\n\n\n\nIn alphabetical order by Surname of AUTHOR(S)<\/strong><\/a>\n\n<\/div>\n\n\n
<\/tr>
Title of Event<\/th>Authors and Co-authors<\/th><\/tr><\/thead>
Accessibility for the deaf and hard of hearing through language technology: real-time<\/a>\u00a0speech-to-text and machine translation tool of the European Parliament<\/a> (KEYNOTE ADDRESS)<\/strong><\/td>Valter Mavri\u010d<\/strong>
<\/a>Keynote Speaker<\/strong><\/em><\/td><\/tr>
Algorithms and technologies of training translators and interpreters for the Industry 4.0 Economy<\/a><\/strong> <\/mark>14<\/mark><\/mark><\/td>Olga Egorova<\/a><\/strong><\/td><\/tr>
Automated translation analysis using a multi-faceted framework<\/a><\/strong><\/td>Rafa\u0142 Jaworski<\/a>,
Andrzej Zydro\u0144<\/a><\/strong><\/td><\/tr>
Do translators use machine translation and if so, how?<\/a> <\/strong>13<\/mark><\/td>Michael Farrell<\/strong><\/a><\/td><\/tr>
Educating translators in the era of translation as human-computer interaction: How are we faring?<\/a> <\/strong>28<\/mark><\/td>Vilelmini Sosoni<\/strong><\/a>,
Maria Stasimioti<\/a><\/strong><\/td><\/tr>
eLegislate – the XML ATP chain in the European Parliament – Focus on Translation<\/a><\/strong><\/td>Paula Marginean<\/a><\/strong>,
Pedro Garcia-Dieguez<\/a><\/strong><\/td><\/tr>
Error Analysis for Machine Translated text from English into Kazakh<\/a><\/strong> 25<\/mark><\/td>Dinara Akmurzina<\/a><\/strong><\/td><\/tr>
Error analysis of real-time speech machine translation in the context of the European Parliament’s Innovation Partnership<\/a><\/strong><\/td>Elisa Di Nuovo<\/a><\/strong> 5<\/mark><\/td><\/tr>
Evaluation of adaptive machine translation from a gender-neutral language perspective<\/a><\/strong> 7<\/mark><\/td>Aida Kostikova<\/a><\/strong>,
Joke Daems<\/a><\/strong>,
Todor Lazerov<\/a><\/strong><\/td><\/tr>
Exploring different speech recognizers for post-editing translation outputs: A pilot study in an international organization<\/a><\/strong> 31<\/mark><\/td>Jeevanthi Uthpala Liyanapathirana<\/a>,
Pierrette Bouillon<\/a><\/strong><\/td><\/tr>
F<\/a>a<\/a>i<\/a>r<\/a>s<\/a>l<\/a>a<\/a>t<\/a>o<\/a>r<\/a>:<\/a> <\/a>Machine<\/a> translation bias removal tool<\/a> 12<\/mark><\/strong><\/td>Michal M\u011b<\/strong>chura<\/a><\/strong><\/td><\/tr>
gApp: a text preprocessing system to improve the neural machine translation of discontinuous multiword expressions<\/a><\/strong> <\/strong><\/a>39<\/mark><\/td>Carlos Manuel Hidalgo Ternero<\/a><\/strong>,
Xiaoqing Zhou Lian<\/a><\/strong><\/td><\/tr>
Good but not always fair: tackling gender bias in automatic translation<\/strong> (KEYNOTE ADDRESS)<\/strong><\/a><\/td>Luisa Bentivogli<\/strong>
<\/a>Keynote Speaker<\/strong><\/em><\/td><\/tr>
How Collaborative is Concurrent Translation? Insights From a Survey of 804 Translators<\/a><\/strong> 8<\/mark><\/td>Joanna Gough<\/a>,
\u00d6zlem Temiz\u00f6z<\/a><\/strong><\/strong><\/td><\/tr>
HypoLexicon \u2013 A Terminological Resource for Describing Hyponymic Information<\/a><\/strong> 18<\/mark><\/td>Juan Carlos Gil-Berrozpe<\/a><\/strong><\/td><\/tr>
Impact of Domain-Adapted Multilingual Neural Machine Translation in the Medical Domain<\/a><\/strong> 2<\/mark><\/td>Miguel Angel Rios Gaona<\/a><\/strong>,
<\/a>Raluca-Maria Chereji<\/a><\/strong>,
<\/a>Alina Secara\u0306<\/strong><\/a>,
<\/a>Drago\u0219 Ciobanu<\/strong><\/a><\/td><\/tr>
Investigating the use of speech technologies in consecutive interpreting: A pilot study on ASR-enhanced CAI tool prototype \u2018Sight-Terp’<\/a><\/strong> 32<\/mark><\/td>Cihan \u00dcnl\u00fc<\/a><\/strong>,
Aymil Do\u011fan<\/a><\/strong><\/td><\/tr>
Machine Translation Quality Monitoring at the Translation Centre for the Bodies of the European Union<\/a> <\/mark><\/strong>17<\/mark><\/td>Mauro Bubnic<\/a>,<\/strong>
Daniel Mar\u00edn Buj<\/a><\/strong><\/td><\/tr>
Peculiarities of Polish academic legal writing in English translation: field experts vs. algorithms<\/a><\/strong> 19<\/mark><\/td>Anna Setkowicz-Ryszka<\/a><\/strong><\/td><\/tr>
Pre-task perceptions and their impact on final translation quality: implications for training<\/a><\/strong> 11<\/mark><\/td>Vicent Briva-Iglesias<\/a>,
Sharon O’Brien<\/a>,
Benjamin R. Cowan<\/a><\/strong><\/td><\/tr>
A Study on the worthiness of MWE manually-annotated corpora to train Neural Networks to detect MWEs<\/a><\/strong> 30<\/mark><\/td>Emmanuelle Esperan\u00e7a-Rodier<\/a>,
Fiorella Albasini<\/a>,
<\/strong>Yacine Haddad<\/td><\/tr>
A Study Towards a Standardized Typology of Machine Translation Post-Editing Guidelines: A Suggested Template for Language Professionals<\/strong><\/a> 4<\/mark><\/td>Luc\u00eda Guerrero<\/strong><\/a>,
Viveta Gene<\/strong><\/a><\/td><\/tr>
Towards a Technologized translation classroom \u2013 Practices and perceptions from trainers at a Swiss University<\/a><\/strong> 10<\/mark><\/td>Roser S\u00e1nchez-Castany<\/a>,
Silvia Rodr\u00edguez V\u00e1zquez<\/a>,
Marianne Starlander<\/a><\/strong><\/td><\/tr>
Transformation to the Cloud as a Service Vendor: Lessons Learned<\/a> 16<\/mark><\/strong> 16<\/mark><\/td>Matthias Heyn<\/a><\/strong><\/td><\/tr>
The use of CAT tools and corpus analysis in comparative literary translation research: an English-Arabic case study<\/a><\/strong> 9<\/mark><\/td>Amal Haddad Haddad<\/a><\/strong><\/td><\/tr>
The use of speech technologies in translation, revision, and post-editing machine translation (PEMT)<\/a><\/strong> 26<\/mark><\/td>Raluca Chereji<\/a><\/strong>,
Claudia Wiesinger<\/a>,
Justus Brockmann<\/a><\/strong>,
Alina Secar\u0103<\/strong><\/a>,
Drago\u0219 Ciobanu<\/strong><\/a><\/td><\/tr>
A User Study on Machine Translation Finetuning with Custom Translation Memories in 3 Language Pairs<\/strong><\/a> 40<\/mark><\/td>Gokhan Dogru<\/strong><\/a>,
Joss Moorkens<\/strong><\/a><\/td><\/tr>
Using bitext mining to identify translated material: practical assessment and new applications<\/a><\/strong> 6<\/mark><\/td>Zhilu Tu<\/a><\/strong>,
Minghao Wang,
Mark Shuttleworth,
Zhiwen Hua<\/td><\/tr>
Why are generic MT engines of limited assistance to lawyers and legal academics wishing to communicate in English as the lingua franca? A reviser’s and post-editor’s perspective<\/a><\/strong> <\/td>Anna Setkowicz-Ryszka<\/a><\/strong><\/td><\/tr>
More presentations may follow<\/strong><\/em><\/td><\/td><\/tr><\/tbody><\/table><\/figure>\n\n<\/div><\/div>\n\n\n

 <\/p>\n\n\n\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

Below is a list of Presentations (status: 5 November 2022) Authors have been informed that their submission has been accepted. All who have reconfirmed that they will attend and present are listed with links below to their abstracts, as well as presenters’ and, as applicable, co-authors’ bio details. Title of Event Authors and Co-authors Accessibility … Read more<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"ub_ctt_via":"","footnotes":""},"class_list":["post-773","page","type-page","status-publish"],"featured_image_src":null,"_links":{"self":[{"href":"https:\/\/asling.org\/tc44\/wp-json\/wp\/v2\/pages\/773","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/asling.org\/tc44\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/asling.org\/tc44\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/asling.org\/tc44\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/asling.org\/tc44\/wp-json\/wp\/v2\/comments?post=773"}],"version-history":[{"count":9,"href":"https:\/\/asling.org\/tc44\/wp-json\/wp\/v2\/pages\/773\/revisions"}],"predecessor-version":[{"id":4925,"href":"https:\/\/asling.org\/tc44\/wp-json\/wp\/v2\/pages\/773\/revisions\/4925"}],"wp:attachment":[{"href":"https:\/\/asling.org\/tc44\/wp-json\/wp\/v2\/media?parent=773"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}