CFP (Workshop): Workshop on Machine Learning for Ancient Languages (ML4AL 2024) (Proposals due 05/17/24)
Proposals are being accepted for the Workshop on Machine Learning for Ancient Languages (ML4AL 2024). The Workshop aims to inspire collaboration and support research momentum in the emerging field of Machine Learning for the study of ancient texts. Submissions which tackle low-data, underrepresented, non-Western ancient languages are welcome. The workshop will take place in a hybrid format in Bangkok, Thailand on August 15, 2024. Proposals are due by May 17, 2024.
Dear List Members,
On behalf of the Organising Committee, it is my pleasure to circulate the 1st Call for Papers for the Workshop on Machine Learning for Ancient Languages (ML4AL 2024). The Workshop is co-located at ACL 2024 and will take place in a hybrid format in Bangkok, Thailand and remotely, on 15 August 2024. The submission deadline is May 17th, 2024 11:59pm, UTC-12 (anywhere on Earth). Please refer to the ML4AL workshop website https://www.ml4al.com/ for the full CfP and for more information.
DESCRIPTION
The ML4AL Workshop aims to inspire collaboration and support research momentum in the emerging field of Machine Learning for the study of ancient texts. We invite contributions tackling texts from the diverse corners of the globe, in any language, script or medium. We establish a chronological scope from the inception of writing systems in ancient Mesopotamia and Egypt (3400 BCE) to the late first millennium CE. We welcome contributions on topics related to, but not limited to:
– Digitization: bringing textual sources to a high-quality machine-readable format (e.g., through HTR).
– Restoration: recovering missing text and reassembling fragmented written artefacts (inscriptions, papyri, potsherds etc.).
– Attribution: contextualising a document within its original geographical, chronological and authorial setting.
– Linguistic analysis: involving tasks such as POS tagging, text parsing, segmentation, representation learning, semantics, sentiment, language identification.
– Textual criticism: the process of reconstructing a text’s philological tradition of textual transmission, including the tasks of stemmatology and intertextuality.
– Translation and decipherment.
Encompassing such a vast and fertile remit for assistive Machine Learning applications to the study of ancient texts, the ML4AL Workshop is designed to facilitate and invigorate the ongoing collaborative impetus between AI and the Humanities. ACL (https://www.ml4al.com/) is the most prominent conference on Machine Learning and NLP in the world, and this is the first time a workshop on the topic of Machine Learning for Ancient Languages is included at an ACL meeting.
We particularly welcome submissions which tackle low-data, underrepresented, non-Western ancient languages, and we encourage researchers and practitioners from diverse backgrounds, working on ancient languages, irrespective of their gender, ethnicity, nationality, or academic affiliations, including fellows tackling low-underrepresented and non-Western centric ancient languages.
SUBMISSION INFORMATION
We welcome long (8 page) and short (4 page) paper submissions, in PDF format following the ACL template style, made through OpenReview or ARR. Accepted regular workshop papers will be included in the workshop proceedings, but non-archival submissions are also welcome. All submissions should be completely anonymous to allow a double-blind review process (each paper is expected to be reviewed by at least three reviewers). Selected accepted papers will be presented orally and the rest as posters. Papers on relevant topics that have appeared or might appear in other venues (workshops, conferences, journals) are also welcome, which can be presented at the workshop but will not be included in the workshop proceedings. Already published contributions (excluding preprints) cannot be accepted.
ORGANISING COMMITTEE
Dr John Pavlopoulos, Athens University of Economics and Business, Greece Dr Thea Sommerschield, University of Nottingham, UK Dr Yannis Assael, Google DeepMind, UK Dr Shai Gordin, Ariel University, Israel Prof. Kyunghyun Cho, NYU, CIFAR, Genentech, USA Prof. Marco Passarotti, Universit? Cattolica del Sacro Cuore, Italy Dr Rachele Sprugnoli, Universit? di Parma, Italy Dr Yudong Liu, Western Washington University, USA Dr Bin Li, Nanjing Normal University, China Dr Adam Anderson, UC Berkeley, USA Contact the organisers at: ml4al.organizers@gmail.com
PROGRAM COMMITTEE
Masayuki Asahara; John Bodel; Gregory Crane; Katrien De Graef; Sanhong Deng; Mark Depauw; Hanne Eckhoff; Margherita Fantoli; Minxuan Feng; Ethan Fetaya; Federica Gamba; Laura Hawkins; Chul Heo; Petra He?m?nkov?; Marietta Horster; Renfen Hu; Kyle Johnson; Alek Keersmaekers; Ussen Kimanuka; Thomas Koentges; Els Lefever; Chaya Liebeskind; Eliese-Sophia Lincke; Chao-Lin Liu; Liu Liu; Congjun Long; Jiaming Luo; Massimo Maiocchi; Isabelle Marthot-Santaniello; Barbara McGillivray; M. Willis Monroe; Alex Mullen; Chiara Palladino; Chanjun Park, Upstage; Edoardo M. Ponti; Mladen Popovic; Jonathan Prag; Avital Romach; Edgar Roman-Rangel; Matteo Romanello; Brent Seales; Andrew Senior; Si Shen; Barak Sober; Richard Sproat; Gabriel Stanovsky; Vanessa Stefanak; Silvia Stopponi; Qi Su; Matthew I. Swindall; Xuri Tang; Charlotte Tupman; Dongbo Wang; Haneul Yoo; Chongsheng Zhang.
IMPORTANT DATES
– Paper submission deadline: May 17, 2024
– Notification of acceptance: June 17, 2024
– Camera-ready paper due: July 1, 2024
– Workshop: August 15, 2024
All deadlines are 11:59 pm UTC -12h (anywhere on Earth).