Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
In linguistic typology, active–stative alignment (also split intransitive alignment or semantic alignment) is a type of morphosyntactic alignment in which the sole argument ("subject") of an intransitive clause (often symbolized as S) is sometimes marked in the same way as an agent of a transitive verb (that is, like a subject such as "I" or "she" in…
The analysis highlights Occurrence, Argument marking and Overview as prominent areas in the source structure around Active–stative alignment.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Active–stative alignment shows recurring relationship patterns in the source. For example, Active–stative alignment → Active, Also, The, Thus. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
languages active case verb argument language stative intransitive alignment doi isbn patientive agentive 10 marking marked ergative subject semantic verbs
TTTA extracted 10 structured relationships around Active–stative alignment. Examples in this analysis include English that generally align S as S → instance of → stative languages contrast with accusative languages and to run are marked like transitive agents → instance of → arguments of active verbs. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| English that generally align S as S | instance of | stative languages contrast with accusative languages | 0.80 | text |
| to run are marked like transitive agents | instance of | arguments of active verbs | 0.80 | text |
| as in accusative languages | instance of | arguments of active verbs | 0.80 | text |
| and arguments of inactive verbs such as to stand are marked like transitive objects | instance of | arguments of active verbs | 0.80 | text |
| as in ergative languages | instance of | arguments of active verbs | 0.80 | text |
| Chickasaw | instance of | A subgroup of Muskogean languages | 0.80 | text |
| Active–stative alignment | related to Terminology | Active | 0.60 | section |
| Active–stative alignment | related to Terminology | Also | 0.60 | section |
| Active–stative alignment | related to Terminology | Thus | 0.60 | section |
| Active–stative alignment | related to Terminology | The | 0.60 | section |
The concept neighborhoods around Active–stative alignment bring nearby vocabulary together. In this analysis, examples include Stative, Languages and Alignment. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Active–stative alignment, one of the stronger structural bridges in this analysis connects Active–stative alignment with Occurrence. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Active–stative alignment to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Occurrence, Argument marking & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Active–stative alignment · EN edition · Analysis: TopicsToTalkAbout