15-16 December 2022
rooms 715 (Th morning) and 720
Bâtiment Olympe de Gouges
8 Place Paul Ricoeur
75013 PARIS
Accès au bâtiment Olympe de Gouges
No registration fee, but registration is mandatory before December 10. Contact Maud Benard maud.benard@u-paris.fr
This two day workshop is intended as a recap of two Université Paris Cité research projects and a potential platform for exchanges at a European level of comparable research questions. We would like to share our results, but also our doubts (limitations and frustrations) about two funded research projects conceived in an interdisciplinary perspective designed to empower linguists and translators with a better grasp of neural machine translation with strong help from computational scientists, computational linguists and data scientists.
In this spirit, we have put up a programme that welcomes similar European projects that voice comparable research questions carried out in partner universities. For institutional reasons, we have focused on members of the Circle U Alliance.
This event is funded by the Laboratoire de Linguistique formelle (LLF) and CLILLAC-ARP labs and jointly organised by Nicolas Ballier, Maud Bénard & Guillaume Wiesniewski.
PROGRAMME
DECEMBER 15th
Morning: room 715
(zoom : https://u-paris.zoom.us/j/85674176101?pwd=TEZYcHo3eEx3dk9JNmVwbXdIL2gyQT09
ID : 856 7417 6101
secret code : 806693)
9h30 Welcome coffee
10h Nicolas Ballier (UPCité, CLILLAC-ARP & LLF) Introduction
10h05 François Yvon (Orsay, LISN) Neural Machine Translation for Linguists of Good Will
11h Guillaume Wisniewski (UPCité, LLF) What can linguists learn from probing neural networks ?
12h Bingzhi Li, Guillaume Wisniewski and Benoit Crabbé (all UPCité, LLF) What can we learn from neural networks about agreements and coreference?
13h LUNCH BREAK
Afternoon: room 720
14h30 NeuroViz team [Nicolas Ballier (UPCité, CLILLAC-ARP & LLF), Lina Conti (UPCité), François Yvon (Orsay, LISN), Guillaume Wisniewski (UPCité, LLF), Lichao Zhu (UPCité, CLILLAC-ARP & LLF)] Some Lessons from the NeuroViz project. Presentation of the deliverables of the project : papers, scripts, datasets; working with JoeyNMT, a pedagogical toolkit; more to explore on Visualisation : alternate visualising systems
15h10 Discussion (the robustness of translation toolkits)
15h30 Bilal Faye (Université Sorbonne Paris Nord) : Investigating Byte Pair Encoding and linguistic complexity (Some results from the ComplexNeuroViz project)
16h00 Coffee break
16h30 Caroline Rossi (UGA) and Nicolas Ballier (UPCité) the Grenoble Swansea MAKE-NMTViz project
17h Round Table : next steps for Research
François Yvon, Caroline Rossi, Alina Secară (Universität Wien), Dragoș Ciobanu (Universität Wien)
18h End
DECEMBER 16th
All day room 720
(on Zoom https://u-paris.zoom.us/j/88117026423?pwd=MGZDL0hBdTZTK3NIcnpTL0VPbUk5UT09
ID : 881 1702 6423
secret code : 177146)
9h00 zoom tests
9h15 Nicolas Ballier (UPCité) Introduction : the steep learning curve of Neural Machine Translation (NMT)
9h30 Juan Antonio Pérez-Ortiz (Universitat d’Alacant) the Gourmet Project for NMT for less-resourced languages
10h Marie-Aude Lefer (UCLouvain) Assessing NMTPE quality in translator education: the PostEditMe project
discussant : Natalie Kübler (UPCité) On error typologies
11h00 Coffee break
11h30 Ralph Krüger and Janica Hackenbuchner (Koeln) NMT, MT Literacy and Data Literacy for Specialised translation
discussant : Christoph Declercq (Utrecht), (tbc)
12h30 Lunch break
14h00 SPECTRANS team (UPCité) : Some lessons from the SPECTRANS project. Presentation of the deliverables of the project: papers, apps, Python notebooks, datasets, How is society impacted with NMT?, A springboard for other projects : Specialised translation and data collection (OCTAVES, ARTES and corpus building).
Alexandra Mestivier & Brice Bricaud Octaves: a platform for collecting specialised student translations and post-edited machine translation output
Mojca Pecman et Brice Bricaud, ARTES et TAN : l’adaptation au domaine.
15h00 Maria Zimina, Nicolas Ballier, Lichao Zhu (UPCité) : PAPTAN : A platform for Neural Machine Translation: training translation models for research and teaching (Pure Neural Server)
- deep learning for teaching
- partnership for SYSTRAN Pure Neural Server
- WMT22 competitions (biomedical English)
15h30 Coffee break
16h00 Round Table with some lightning presentations from some members of the Circle U Alliance Teaching and Researching NMT
Dragos Ciobanu & Alina Secara (Universität Wien), Marie-Aude Lefer & Anais Tack (UCLouvain, UPCité)
How can we establish collaborations between translators and computational scientists?
17h00 Round Table Next plans: do we need a COST on NMT?
Maria Zimina-Poirot (UPCité, CLILLAC-ARP) & Nicolas Ballier The KLILT project, Nicolas Froeliger (UPCité, CILLLAC-ARP), similar initiatives in Europe
The LITHME COST partially deals with digital literacy in humanities. Do we need a COST on Neural Machine Translation?
18h00 Nicolas Ballier Final words
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