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Symmetrical voice

Symmetrical voice, also known as Austronesian alignment or the Austronesian focus system, is a typologically unusual kind of morphosyntactic alignment in which "one argument can be marked as having a special relationship to the verb". This special relationship manifests itself as a voice affix on the verb that corresponds to the syntactic role of a noun…

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Research, Philippine examples & Formosan examples

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

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Overview

Terminology

Studies

Properties

Proto-Austronesian examples

Formosan examples

Batanic examples

Philippine examples

North Bornean examples

Malayic examples

Barito examples

Non-Austronesian examples

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

Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.

Symmetrical voice

Nodes96
Edges95
Triples15
Avg. degree1.98
Density0.020833
Components1

How this topic connects Entity context

Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.

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

Symmetrical voice

Top relations

related to Agreement with the semantic role of the subject · 4
Symmetrical voice → Actor Voice, For, In, The
related to Non-Austronesian examples · 2
Symmetrical voice → Alignment, Austronesian
related to Promotion direct to subject · 2
Symmetrical voice → Languages, Oblique

Important terminology Word statistics

Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.

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Important terminology

dir voice erg obl man ng 3sg subject acc ang lalaki sa ind na voices patient money child av actor

Entity relationships Subject–Predicate–Object triples

Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.
SubjectPredicateObjectConfidenceSrc
themeinstance ofthe voice affixes may also agree with semantic roles0.80text
goalinstance ofthe voice affixes may also agree with semantic roles0.80text
reasoninstance ofthe voice affixes may also agree with semantic roles0.80text
and timeinstance ofthe voice affixes may also agree with semantic roles0.80text
passivisationinstance ofthey can behave like regular direct objects and undergo processes0.80text
as ininstance ofthey can behave like regular direct objects and undergo processes0.80text
matayinstance ofverb roots0.80text
Symmetrical voicerelated to Agreement with the semantic role of the subjectIn0.60section
Symmetrical voicerelated to Agreement with the semantic role of the subjectFor0.60section
Symmetrical voicerelated to Agreement with the semantic role of the subjectActor Voice0.60section
Symmetrical voicerelated to Agreement with the semantic role of the subjectThe0.60section
Symmetrical voicerelated to Non-Austronesian examplesAlignment0.60section

Related concept clusters Concept neighborhoods

Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.

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

    Connections between topic areas Semantic bridges

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