Language-Representability: Possibilities and Limitations

The study of word-representability was initiated by the seminal work of Kitaev and Pyatkin in 2008 that has later led to the monograph by Kitaev and Lozin in 2015.In this paper, we build on the very recent work by Fernau et al. who proposed a general framework that generalizes certain aspects of word-representability, so that any binary language describes a graph class.In this work, we systematically study particularly small languages and observe that they characterize well-known graph classes, e.g., interval, permutation, circle, and bipartite chain graphs.Thus, we strengthen the bond between formal languages and graph classes, even for small binary languages.We also show some limitations of our approach by proving that, e.g., families of sparse graphs like planar graphs cannot be characterized by any language following this approach.

Authors

Institutions

Publication Details

Journal
Electronic Proceedings in Theoretical Computer Science
Published
2026-08-24
DOI
https://doi.org/10.4204/eptcs.451.11
Primary Topic
Multilingual Education and Policy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Language-Representability: Possibilities and Limitations

Henning Fernau, Pamela Fleischmann, Silas Cato Sacher, Kevin Mann et al.
Electronic Proceedings in Theoretical Computer Science
Multilingual Education and Policy
article

Language-Representability: Possibilities and Limitations

Henning Fernau, Pamela Fleischmann, Silas Cato Sacher, Kevin Mann, Zhidan Feng
article en

Abstract

The study of word-representability was initiated by the seminal work of Kitaev and Pyatkin in 2008 that has later led to the monograph by Kitaev and Lozin in 2015.In this paper, we build on the very recent work by Fernau et al. who proposed a general framework that generalizes certain aspects of word-representability, so that any binary language describes a graph class.In this work, we systematically study particularly small languages and observe that they characterize well-known graph classes, e.g., interval, permutation, circle, and bipartite chain graphs.Thus, we strengthen the bond between formal languages and graph classes, even for small binary languages.We also show some limitations of our approach by proving that, e.g., families of sparse graphs like planar graphs cannot be characterized by any language following this approach.

Electronic Proceedings in Theoretical Computer ScienceVol. 451
Christian-Albrechts-Universität zu Kiel (DE), Beijing Open University (CN), Universität Trier (DE)
Reduced inequalities
Openalex Percentile: Top 4%
Multilingual Education and Policy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.