Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Unicode bidirectional algorithm

The Unicode Bidirectional Algorithm (UBA), formally defined in Unicode Standard Annex #9 (UAX #9), is a specification developed by the Unicode Consortium that determines how text containing a mixture of left-to-right and right-to-left scripts is displayed. It is a normative part of the Unicode Standard and is required for conformance wherever characters…

Characters, Art & Standards

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Unicode bidirectional algorithm. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Directional Formatting Characters

2 related topics

The Algorithm

4 related topics

Conformance

3 related topics

HTML and CSS Equivalents

3 related topics

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Editors
Manish Goregaokar, Robin Leroy
Latest version
Unicode 17.0.0 (Revision 51, 13 August 2025)
Organization
Unicode Consortium
Status
Active
Year started
1999

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Background

Directional Formatting Characters

The Algorithm

Conformance

HTML and CSS Equivalents

Security Considerations

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Unicode bidirectional algorithm

Nodes28
Edges27
Triples10
Avg. degree1.93
Density0.071429
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Unicode bidirectional algorithm

Top relations

related to External links · 3
Unicode bidirectional algorithm → Revision, UAX, Unicode
Editors · 1
Unicode bidirectional algorithm → Manish Goregaokar, Robin Leroy
Latest version · 1
Unicode bidirectional algorithm → Unicode 17.0.0 (Revision 51, 13 August 2025)
Organization · 1
Unicode bidirectional algorithm → Unicode Consortium
Status · 1
Unicode bidirectional algorithm → Active
Website · 1
Unicode bidirectional algorithm → www.unicode.org/reports/tr9/
Year started · 1
Unicode bidirectional algorithm → 1999

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

unicode characters embedding directional bidirectional text right-to-left uba paragraph display standard formatting levels level scripts arabic hebrew overrides types algorithm

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Unicode bidirectional algorithmEditorsManish Goregaokar, Robin Leroy1.00infobox
Unicode bidirectional algorithmLatest versionUnicode 17.0.0 (Revision 51, 13 August 2025)1.00infobox
Unicode bidirectional algorithmOrganizationUnicode Consortium1.00infobox
Unicode bidirectional algorithmStatusActive1.00infobox
Unicode bidirectional algorithmWebsitewww.unicode.org/reports/tr9/1.00infobox
Unicode bidirectional algorithmYear started19991.00infobox
Arabic or Hebrew are renderedinstance ofIt is a normative part of the Unicode Standard and is required for conformance wherever characters from right-to-left scripts0.80text
Unicode bidirectional algorithmrelated to External linksUAX0.60section
Unicode bidirectional algorithmrelated to External linksRevision0.60section
Unicode bidirectional algorithmrelated to External linksUnicode0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.