@inproceedings{miletic-etal-2026-wovis,
title = "{W}o{V}is: Interactive Visualization of Word Embeddings for Semantic Change in Historical and Dialectal Language Resources",
author = "Mileti{\'c}, Filip and
Henkel, Maximilian and
Cutura, Rene and
Sadler, Sophie and
Ngo, Quynh Quang and
Sedlmair, Michael and
Schulte im Walde, Sabine",
editor = "Anastasopoulos, Antonis and
Markantonatou, Stella and
Ralli, Angela and
Zampieri, Marcos and
Bompolas, Stavros and
Stamou, Vivian",
booktitle = "Proceedings of the First Workshop on Dialects in {NLP} {---} A Resource Perspective",
month = may,
year = "2026",
address = "Palma de Mallorca",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.dialres-1.17/",
doi = "10.63317/3jzkx999kfxq",
pages = "165--176",
abstract = "Computational modeling of language variation and change often relies on comparisons of word embeddings induced from existing historical and dialectal language resources. However, their use in the wider linguistics research community and in application domains such as lexicography is challenged by their limited manipulability for non-technical users, which in turn exacerbates the underuse of such resources. Aiming to foster a broader uptake of embedding-based analyses, we introduce WoVis, an interactive visualization tool designed to compare word embedding models in analyses of semantic change. Our system supports simultaneous model comparisons along two dimensions (e.g., language varieties and time periods) and provides analyses at different levels of granularity: an overview of the full vocabulary across all word embedding models, distributional behavior of individual words, targeted comparisons of word pairs, and model-external lexical features such as frequency and affective norms. We illustrate the utility of our system on two languages, German and English, with analyses of word usage across language varieties as well as time: West vs. East Germany, 1950{--}1989; and general-domain US vs. scientific UK English, ca. 1800{--}2000."
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<abstract>Computational modeling of language variation and change often relies on comparisons of word embeddings induced from existing historical and dialectal language resources. However, their use in the wider linguistics research community and in application domains such as lexicography is challenged by their limited manipulability for non-technical users, which in turn exacerbates the underuse of such resources. Aiming to foster a broader uptake of embedding-based analyses, we introduce WoVis, an interactive visualization tool designed to compare word embedding models in analyses of semantic change. Our system supports simultaneous model comparisons along two dimensions (e.g., language varieties and time periods) and provides analyses at different levels of granularity: an overview of the full vocabulary across all word embedding models, distributional behavior of individual words, targeted comparisons of word pairs, and model-external lexical features such as frequency and affective norms. We illustrate the utility of our system on two languages, German and English, with analyses of word usage across language varieties as well as time: West vs. East Germany, 1950–1989; and general-domain US vs. scientific UK English, ca. 1800–2000.</abstract>
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%0 Conference Proceedings
%T WoVis: Interactive Visualization of Word Embeddings for Semantic Change in Historical and Dialectal Language Resources
%A Miletić, Filip
%A Henkel, Maximilian
%A Cutura, Rene
%A Sadler, Sophie
%A Ngo, Quynh Quang
%A Sedlmair, Michael
%A Schulte im Walde, Sabine
%Y Anastasopoulos, Antonis
%Y Markantonatou, Stella
%Y Ralli, Angela
%Y Zampieri, Marcos
%Y Bompolas, Stavros
%Y Stamou, Vivian
%S Proceedings of the First Workshop on Dialects in NLP — A Resource Perspective
%D 2026
%8 May
%I Association for Computational Linguistics
%C Palma de Mallorca
%F miletic-etal-2026-wovis
%X Computational modeling of language variation and change often relies on comparisons of word embeddings induced from existing historical and dialectal language resources. However, their use in the wider linguistics research community and in application domains such as lexicography is challenged by their limited manipulability for non-technical users, which in turn exacerbates the underuse of such resources. Aiming to foster a broader uptake of embedding-based analyses, we introduce WoVis, an interactive visualization tool designed to compare word embedding models in analyses of semantic change. Our system supports simultaneous model comparisons along two dimensions (e.g., language varieties and time periods) and provides analyses at different levels of granularity: an overview of the full vocabulary across all word embedding models, distributional behavior of individual words, targeted comparisons of word pairs, and model-external lexical features such as frequency and affective norms. We illustrate the utility of our system on two languages, German and English, with analyses of word usage across language varieties as well as time: West vs. East Germany, 1950–1989; and general-domain US vs. scientific UK English, ca. 1800–2000.
%R 10.63317/3jzkx999kfxq
%U https://aclanthology.org/2026.dialres-1.17/
%U https://doi.org/10.63317/3jzkx999kfxq
%P 165-176
Markdown (Informal)
[WoVis: Interactive Visualization of Word Embeddings for Semantic Change in Historical and Dialectal Language Resources](https://aclanthology.org/2026.dialres-1.17/) (Miletić et al., DialRes 2026)
ACL