no code implementations • GWC 2019 • Khuyagbaatar Batsuren, Amarsanaa Ganbold, Altangerel Chagnaa, Fausto Giunchiglia
The manual evaluation of the resource1 estimated its quality at 96. 4%.
1 code implementation • NAACL (SIGMORPHON) 2022 • Khuyagbaatar Batsuren, Gábor Bella, Aryaman Arora, Viktor Martinović, Kyle Gorman, Zdeněk Žabokrtský, Amarsanaa Ganbold, Šárka Dohnalová, Magda Ševčíková, Kateřina Pelegrinová, Fausto Giunchiglia, Ryan Cotterell, Ekaterina Vylomova
The SIGMORPHON 2022 shared task on morpheme segmentation challenged systems to decompose a word into a sequence of morphemes and covered most types of morphology: compounds, derivations, and inflections.
Ranked #8 on Morpheme Segmentaiton on UniMorph 4.0
1 code implementation • LREC 2022 • Temuulen Khishigsuren, Gábor Bella, Khuyagbaatar Batsuren, Abed Alhakim Freihat, Nandu Chandran Nair, Amarsanaa Ganbold, Hadi Khalilia, Yamini Chandrashekar, Fausto Giunchiglia
We capture the phenomenon of diversity through the notions of lexical gap and language-specific word and use a systematic method to infer gaps semi-automatically on a large scale.