SIGMORPHON 2022 will be co-located with NAACL 2022 in Seattle, USA.
SIGMORPHON aims to bring together researchers interested in applying computational techniques to problems in morphology, phonology, and phonetics. Work that addresses orthographic issues is also welcome. Papers will be on substantial, original, and unpublished research on these topics, potentially including strong work in progress. Appropriate topics include (but are not limited to) the following as they relate to the areas of the workshop:
- New formalisms, computational treatments, or probabilistic models of existing linguistic formalisms
- Unsupervised, semi-supervised, or machine learning of linguistic knowledge
- Analysis or exploitation of multilingual, multi-dialectal, or diachronic data
- Integration of morphology, phonology, or phonetics with other NLP tasks
- Algorithms for string analysis and manipulation, including finite-state methods
- Models of psycholinguistic experiments
- Approaches to orthographic variation
- Approaches to morphological reinflection
- Corpus linguistics
- Machine transliteration and back-transliteration
- Morpheme identification and word segmentation
- Speech technologies relating to phonetics or phonology
- Speech science (both production and comprehension)
- Instructional technologies for second-language learners
- Tools and resources
SIGMORPHON encourages interaction between work in computational linguistics and work in theoretical phonetics, phonology and morphology, and to ensure that each of these fields profits from the interaction. Our recent meetings have been successful in this regard, and we hope to see this continue in 2022.
Many mainstream linguists studying phonetics, phonology and morphology are employing computational tools and models that are of considerable interest to computational linguists. Similarly, models and tools developed by and for computational linguists may be of interest to theoretical linguists working in these areas. This workshop provides a forum for these researchers to interact and become exposed to each others’ ideas and research.
February 2, 2022: First Call for Workshop Papers
8 14, 2022: Workshop Paper Due Date
6 13, 2022: Notification of acceptance
20 27, 2022: Camera-Ready papers due
July 14, 2022: Workshop Date
Long papers should be original, topical, and clear. Completed work is preferable to intended work. Either way, the paper must disclose the state of completion of the reported results. We also encourage short submissions. These can either cover research or describe important problems (new or old).
The only accepted format for submitted papers is Adobe PDF. Submissions should be anonymous, without authors or an acknowledgement section; self-citations should appear in third person. Submissions should follow the two-column format of ACL proceedings, and long papers should not exceed eight (8) pages, short papers should not exceed four (4) pages. Unlimited additional pages are allowed for the references section in both cases. However, all material other than the bibliography must fall within the first 8/4 pages! The camera-ready submission will be allowed to have 1 extra page to address reviewer concerns. We encourage the submission of supplemental material such as data and code, as well as appendices; however, supplemental material should not be essential for the understanding of the submission. We strongly recommend the use of the LaTeX style files or Microsoft Word document template on the ACL conference website. We reserve the right to reject submissions that do not conform to these styles, including font size restrictions.
SIGMORPHON 2022 adopts ACL’s new policies for submission, review, and citation. Submissions that violate any of these policies will be rejected without review. Most importantly, the policies refer to the anonymity period, which begins one month before the 2022 submission deadline and ends at time of notification (or withdrawal).
We have a very full program scheduled for July 14.
IMPORTANT INFORMATION FOR VIRTUAL ATTENDEES
SIGMORPHON 2022 will be a hybrid event. However, the way that registration is worded is potentially confusing. If you register for workshops-only, you will have access to the virtual room, as well as the Underline presentations (the wording of the registration suggested otherwise). If you are having difficulty accessing the link, please contact Eleanor Chodroff at (FIRSTNAME DOT LASTNAME AT york DOT ac DOT uk) with proof of registration to obtain the link for the workshop.
SIGMORPHON is pleased to welcome the following invited speakers to our workshop.
Laura Gwilliams - University of California - San Francisco
Gasper Begus - University of California - Berkeley
SIGMORPHON is hosting 3 shared tasks this year. More information to come shortly.
Khuyagbaatar Batsuren, National University of Mongolia
Canaan Breiss, MIT
Jane Chandlee, Haverford College
Çağrı Çöltekin, University of Tübingen
Daniel Dakota, Indiana University
Aniello de Santo, University of Utah
Ewan Dunbar, University of Toronto
Aniello De Santo, University of Utah
Indranil Dutta, Jadavpur University
Micha Elsner, The Ohio State University
Cassandra Jacobs, University of Buffalo
Adam Jardine, Rutgers University
Greg Kobele, Universität Leipzig
Jordan Kodner, Stony Brook University
Sandra Kübler, Indiana University
Andrew Lamont, University of Massachusetts Amherst
Rob Malouf, San Diego State University
Giorgio Magri, CNRS
Rob Malouf, San Diego State University
John Mansfield, University of Melbourne
Arya McCarthy, Johns Hopkins University
Kemal Oflazer, CMU Qatar
Gerald Penn, University of Toronto
Jelena Prokic, Universiteit Leiden
Jonathan Rawski, San Jose State University
Brian Roark, Google AI
Miikka Silfverberg, University of British Columbia
Morgan Sonderegger, McGill University
Kairit Sirts, University of Tartu
Caitlin Smith, UC Davis
Ekaterina Vylomova, University of Melbourne
Adam Wiemerslage, University of Colorado
Adina Williams, Facebook AI Research
Colin Wilson, Johns Hopkins University
Changbing Yang, University of British Columbia
Anssi Yli-Jyrä, University of Helsinki
- Garrett Nicolai, University of British Columbia
- Eleanor Chodroff, University of York