activity
20172026
most citedUniMorph 4.0: Universal Morphology

37 citations · 57 across the 9 of their papers we have counts for

collaborators

16 papers

cs.CL2026

MUDIDI: A Two-Stage Framework for Multilingual Dictionary Digitization with Language Models

David Setiawan, Temuulen Khishigsuren, Milind Agarwal +3

Multilingual dictionaries are among the most valuable documentary resources for low-resource and endangered languages, yet many remain available only as scans. For many decades, th…

cs.CL2026

CommonMorph: Participatory Morphological Documentation Platform

Aso Mahmudi, Sina Ahmadi, Kemal Kurniawan +3

Collecting and annotating morphological data present significant challenges, requiring linguistic expertise, methodological rigour, and substantial resources. These barriers are pa…

cs.CL2024★ 6 cited

Evaluating Subword Tokenization: Alien Subword Composition and OOV Generalization Challenge

Khuyagbaatar Batsuren, Ekaterina Vylomova, Verna Dankers +4

The popular subword tokenizers of current language models, such as Byte-Pair Encoding (BPE), are known not to respect morpheme boundaries, which affects the downstream performance…

cs.CL2022★ 37 cited

UniMorph 4.0: Universal Morphology

Khuyagbaatar Batsuren, Omer Goldman, Salam Khalifa +93

The Universal Morphology (UniMorph) project is a collaborative effort providing broad-coverage instantiated normalized morphological inflection tables for hundreds of diverse world…

cs.CL2022

The SIGMORPHON 2022 Shared Task on Morpheme Segmentation

Khuyagbaatar Batsuren, Gábor Bella, Aryaman Arora +10

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, deriva…

cs.CL2021

SIGTYP 2021 Shared Task: Robust Spoken Language Identification

Elizabeth Salesky, Badr M. Abdullah, Sabrina J. Mielke +6

While language identification is a fundamental speech and language processing task, for many languages and language families it remains a challenging task. For many low-resource an…