arXiv:2604. 14397v2 Announce Type: replace-cross Abstract: We study the task of automatically expanding WordNet-style lexical resources to new languages through sense generation.
By David Basil, Chirooth Girigowda, Bradley Hauer, Sahir Momin, Ning Shi, Grzegorz Kondrak
arXiv:2608.04186v3 Announce Type: replace
Abstract: This paper presents a conceptual framework for developing an electronic explanatory dictionary of the Tajik language using large language models (L...
By Mullosharaf K. Arabov, Saidali M. Pirzoda, Behruz A. Sultonov
arXiv:2011.03783v3 Announce Type: replace-cross
Abstract: In this work, we introduce the construction of a machine translation (MT) assisted and human-in-the-loop multilingual parallel corpus with an...
By Lifeng Han, Najet Hadj Mohamed, Malak Rassem, Gareth Jones, Alan Smeaton, Goran Nenadic
The paper tackles the problem of automatically generating dictionary definitions for learner’s dictionaries, focusing on simplicity and clarity. It introduces a new evaluation framework that uses large language models as judges, validated against human annotators with comparable agreement levels. The authors also present an iterative simplification approach that produces definitions scoring highly on their criteria and exhibiting lexical simplicity.
By Yusuke Ide, Adam Nohejl, Joshua Tanner, Hitomi Yanaka, Christopher Lindsay, Taro Watanabe
MUDIDI is a two-stage framework designed to digitize multilingual dictionaries that are currently only available as scanned images. The first stage assesses character recognition and markup preservation, while the second stage segments dictionary entries and maps them into the SIL Multi-Dictionary Formatter schema. The authors also release a dataset of 30 annotated dictionaries and benchmark OCR, LLM, and VLM systems, finding that LLMs generally outperform others and that providing additional context improves digitization quality.
By David Setiawan, Temuulen Khishigsuren, Milind Agarwal, Pagnarith Pit, Aso Mahmudi, Ekaterina Vylomova
arXiv:2609.17539v1 Announce Type: new
Abstract: We present MudawanSn, a gold-standard resource of 1,271 sentence-aligned pairs manually translated from Wolof into Modern Standard Arabic (MSA). The so...
By Mouhamed Mbaye, Thierno Diop