SIGMORPHON @sigmorphon
ACL Special Interest Group (SIG) on Computational Morphology and Phonology sigmorphon.github.io Baltimore, MD Joined April 2018-
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We're happy to announce that our 2024 workshop will be co-located with NAACL in Mexico City. More details will be shared soon.
SIGMORPHON is happy to announce two invited talks for the 2023 workshop. Carmen Saldana (University of Zurich), and Kyle Gorman (CUNY) have both agreed to give invited talks. Please keep an eye on the website for more information.
We have Shared Tasks looking for participants! 3 tasks this year: Inflection Generation, Morphological Segmentation, and Interlinear Glossing. For more details (and to sign up), check out the webpages: sigmorphon.github.io/sharedtasks/20…
First CFP for 2023 Workshop! SIGMORPHON is holding its yearly workshop in July, co-located with ACL in Toronto. Paper deadline: April 8. For more details, see sigmorphon.github.io/workshops/2023/
A special issue (on Computational Morphology) of the Journal of Language Modeling has extended its submission date to February 15, 2023. For more information, check out jlm.ipipan.waw.pl/index.php/JLM
SIGMORPHON has accepted 3 shared tasks for our planned 2023 workshop. The inflection task will be continuing for another year, as will the morpheme segmentation task that debuted last year. We will also be hosting a new task on morphological glossing. Details to come.
A reminder: SIGMORPHON is calling for shared task proposals. Proposals are due by September 30. Please visit sigmorphon.github.io/workshops/2023… for more details.
Calling all Shared Task Organizers! We're currently accepting Shared Task proposals for the 2023 Workshop. Details can be found here: sigmorphon.github.io/workshops/2023… Deadline for submission is September 30, 2022.
SIGMORPHON is happy to announce that our best paper goes to James Tanner, Morgan Sonderegger, and Jane Stuart-Smith, for their paper: "Multidimensional acoustic variation in vowels across English dialects" Congratulations, James, @tarzanslam, and @jhstuartsmith! #NAACL2022
Are you planning on attending SIGMORPHON virtually? If so, we've added important information regarding how to do so to the workshop website: sigmorphon.github.io/workshops/2022/ #NAACL2022 #NLProc
SIGMORPHON 2022 is next Thursday, July 14. We have a great program set up. Details can be found here: sigmorphon.github.io/workshops/2022… Whether you're attending virtually or in person, we look forward to seeing you! #NAACL2022 #NLProc
We have decided to extend the submission deadline for papers from April 8 (this Friday) to April 14 (next Thursday). Submission time is anywhere in the world. We look forward to your submissions! Details: sigmorphon.github.io/workshops/2022/ #NAACL2022 #NLProc
It's Sigmorphin' time! The websites for the Shared Tasks are up and running, and accepting registrations to participate. Don't delay - check out the links on sigmorphon.github.io/workshops/2022/ now! #NLProc #NAACL2022
We are also seeking participants for the following shared tasks: - Morphological Inflection - Grapheme-to-Phoneme Prediction - Morphological Segmentation Details will be available on the website (sigmorphon.github.io/workshops/2022/) soon. #NLProc #NAACL22
Here's the first announcement of several: We have 2 Invited Speakers for our workshop in July: Laura Gwilliams, NYU Gasper Begus, Berkeley We're happy to welcome them both to SIGMORPHON 2022! More details will follow. Keep an eye on sigmorphon.github.io/workshops/2022/ #NLProc #NAACL22
SIGMORPHON 2022 is officially happening! We will be co-located with NAACL in Seattle, Washington in July 2022. More details will be forthcoming soon, but we have 2 great invited speakers lined up, and 3 shared tasks (including one we've never had before). #NAACL2022 #NLProc
Reminder: Shared Task proposals are due in about 2 weeks, on September 30. Details: sigmorphon.github.io/workshops/2022…
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Antonis Anastasopoulo.. @anas_ant
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Delip Rao e/σ @deliprao
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Kat Vylomova (कत�.. @ivrik
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SIGTYP @sig_typ
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Jade Abbott @alienelf
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Dr. Christina Bergman.. @chbergma
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759 Followers 4K Following Perhaps we were born to merely coexist, or rather to collaborate. After that, we will return to Our Creator. 俳句好き。手話好き。宗教好き。留守番大好き。 Newest poem on ASEAN IPR:
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e'lena 'alβ̞aɾeð .. @lirondos
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Johannes Bjerva @johannesbjerva
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Tuhin Chakrabarty @TuhinChakr
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Manuel Mager (Turatem.. @pywirrarika
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910 Followers 2K Following phon/morpho, language change, variation, sociolinguistics, pseudowords, networks, stats… science, politics, lolcats :) he/him JeremyNeedle scholar social
Kanishka Misra 😶�.. @kanishkamisra
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Eray Yildiz @erayildiz
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Luis @otroFama
274 Followers 3K Following Otro programador más... || AI/ML/NLP enthusiast 🤓 || torch.manual_seed(42) || No lloren por mi, sólo estoy leyendo Ulises #Ulysses
Saw "INTJ" in my log files and it took me a while to figure out that I'm looking at a POS tag, not a Myers-Briggs type
It's finally out! (submitted to LREC) Common Voice: A Massively-Multilingual Speech Corpus arxiv.org/abs/1912.06670
A bit late on the announcement, but I'm thrilled that @ChaqHilaria, Christopher Cox, me, and @gneubig will give a tutorial @coling2020: "Endangered Languages meet Modern NLP". Importantly, other than datasets and methods, we'll try to cover EL community perspectives and needs.
I wrote a short note on why simple averaging for tasks with multiple languages that include duplicates (e.g. @sigmorphon, UD parsing) can lead to skewed results. Instead, I think averaging per language or language family first is a better option: cs.cmu.edu/~aanastas/eval…
@alon_jacovi I'm an author of Attention is not not Explanation- our conclusion (which could have been stated more clearly in the paper) is that the utility of attention mechanisms for faithful explanation (as in, whether they pass the tests we propose), is highly task-specific.
@sarahwiegreffe @alon_jacovi To be stated more clearly in the talk :) Tuesday 10:48 session 1A, come one come all!
Trying to explain programming skills in Australian English: "I'm proficient in [a:]" "In what?" "[a:]" "...?" "Oh sorry, [a:ɹ]"
@pcastr @conitzer @RealAAAI No lesson learned: x.com/nlpmattg/statu…
AAAI 2019: "If you would like to provide an author response, please set aside some time during the following period to perform this task: Friday, October 12 at 5:00pm PDT until Monday, October 15 at 5:00pm PDT." Author response mostly over a weekend? @RealAAAI, what gives?
Imagine linguistics, but with this attitude
This is THE lesson I've tried to learn from Esther: “I don’t have many opinions to start with...I have one opinion—one should evaluate things—which is strongly held. I’m never unhappy with the results. I haven’t yet seen a result I didn’t like.” newyorker.com/magazine/2010/…
Don't forget to stop by Hackerman B17 today at noon to attend @najoungkim's seminar, titled "Probing What Different NLP Tasks Teach Machines About Function Word Comprehension and Where To Go Next." Lunch will be served!
So happy and honoured to been awarded the travel grant to present our paper at the WNGT workshop. DM me to meet up in Hong Kong!
Okay so lesson learned, tweeting while organizing a conference is like texting while driving.
@RichardSocher why is being large a selling point? I understand people are proud of having built an extremely good model, and even of having found ways to train a large model on finite computational resources. But by itself, 1.6B parameters seems a weakness, rather than a strength to me.
It was the best performing inflection system (based on accuracy) at the @sigmorphon '19 inflection shared task. We combine multiple techniques (data hallucination, training schedule adapted for cross-lingual training, decoupled lemma and tag attention, two-step decoding process).
What made the whole project suuuper exciting was the chance to work on so many different low-resource languages (80 transfer languages, 45 test languages -- thanks @sigmorphon!) and to learn so much more about morphology!
Have you (n)ever wondered how to combine self-training and multi-task training? :) @johannesbjerva, @IAugenstein and I present transductive auxiliary task self-training: a straightforward way to improve the performance of multi-task models.
ift.tt/30igGXp Transductive Auxiliary Task Self-Training for Neural Multi-Task Models. (arXiv:1908.06136v1 [cs.CL]) #NLProc
Awesome talk by Janet Pierre-Humbert @sigmorphon A taste: Humans judge compounds/derivational affixes as more likely written by a woman or man: participants judge -ette and -case to be written by a woman, and -ium and -onomy to be written by a man. #nlproc #acl2019nlp
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