Inlay

Interested in analyzing 𝗖𝗵𝗶𝗹𝗱-𝗔𝗱𝘂𝗹𝘁 𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻𝘀 with computational tools? Then the 𝗖𝗔𝗜𝗧 𝗧𝗼𝗼𝗹𝗸𝗶𝘁 🪁 (pronounced [kaIt]) might be just what you’re looking for! It includes a brand-new i𝗻-𝗱𝗼𝗺𝗮𝗶𝗻 𝗱𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝗰𝘆 𝗽𝗮𝗿𝘀𝗲𝗿, 𝗣𝗢𝗦 𝘁𝗮𝗴𝗴𝗲𝗿, and 𝘂𝘁𝘁𝗲𝗿𝗮𝗻𝗰𝗲-𝗹𝗲𝘃𝗲𝗹 𝗰𝗼𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗮𝗴𝗴𝗲𝗿.

See you in Brazil! I’m really looking forward to discussing the results and possible extensions of this work with all of you.🤗

In the paper, accepted at CONLL 🎊, we have conducted an in-depth error analysis, comparing CAIT annotations with those of the off the-shelf English Stanza parser, highlighting systematic differences in dependency predictions and the structural biases introduced by general-purpose parsers.

We also demonstrate the practical utility of CAIT through a case study :) This show how valuable this tool is for empirical studies of language development that rely on large-scale syntactic analysis. Check out the pre-print at: arxiv.org/abs/2605.19718

Infinite thanks to @arianna-bis.bsky.social , @jumelet.bsky.social and @yevgenm.bsky.social Best supervisors out there!!😍

You can access the models through the repository: github.com/fpadovani/CA... Thank you to the amazing team: @xiulinyang.bsky.social @bbunzeck.bsky.social @arianna-bis.bsky.social @yevgenm.bsky.social @jumelet.bsky.social

CHILDES is a paramount resource for language acquisition studies -- yet computational tools for analyzing its syntactic structure remain limited. Leveraging the recent release of the UD-English-CHILDE...

I’m very happy to share that my latest paper on the 𝐚𝐜𝐪𝐮𝐢𝐬𝐢𝐭𝐢𝐨𝐧 𝐨𝐟 𝐯𝐞𝐫𝐛 𝐦𝐞𝐚𝐧𝐢𝐧𝐠, tested on models trained under CDL data vs ADL data , has been accepted for an 𝐨𝐫𝐚𝐥 𝐩𝐫𝐞𝐬𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 at the upcoming edition of 𝐂𝐨𝐠𝐒𝐜𝐢, which will take place at the end of July in Rio de Janeiro.💃

Announcing a new version of our 2024 paper on linguistic hypothesis generation from LMs! @najoung.bsky.social and I have systematized our hypothesis generation framework, added stringent criteria for model selection, 10x-ed our learning trials, and included an epigraph from Jeff Elman 🙏!