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A filled pause is a non-silent pause in an otherwise fluent speech, where instead of a silent pause there is a filler. The filler can be non-lexical or semiarticulate utterances such as huh, uh, erm, um, or hmm. Fillers may also include words such as well, so, I mean, and like, when used in ways that don't change the meaning of the surrounding speech.
The analysis highlights Art and Overview as prominent areas in the source structure around Filled pause.
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.
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The extracted context around Filled pause shows recurring relationship patterns in the source. For example, Filled pause → non-silent pause in an otherwise fluent speech. 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.
speech filler pause silent also include filled non-silent otherwise fluent non-lexical semiarticulate utterances huh uh erm um hmm fillers may
TTTA extracted 11 structured relationships around Filled pause. Examples in this analysis include Filled pause → is a → non-silent pause in an otherwise fluent speech and huh → instance of → The filler can be non-lexical or semiarticulate utterances. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Filled pause | is a | non-silent pause in an otherwise fluent speech | 0.90 | text |
| huh | instance of | The filler can be non-lexical or semiarticulate utterances | 0.80 | text |
| uh | instance of | The filler can be non-lexical or semiarticulate utterances | 0.80 | text |
| erm | instance of | The filler can be non-lexical or semiarticulate utterances | 0.80 | text |
| um | instance of | The filler can be non-lexical or semiarticulate utterances | 0.80 | text |
| or hmm | instance of | The filler can be non-lexical or semiarticulate utterances | 0.80 | text |
| well | instance of | Fillers may also include words | 0.80 | text |
| I mean | instance of | Fillers may also include words | 0.80 | text |
| and like | instance of | Fillers may also include words | 0.80 | text |
| when used in ways that don't change the meaning of the surrounding speech.This particular type of pause is one of several types of speech disfluencies | instance of | Fillers may also include words | 0.80 | text |
| which also include silent pauses | instance of | Fillers may also include words | 0.80 | text |
The concept neighborhoods around Filled pause bring nearby vocabulary together. In this analysis, examples include Fluent, Non-silent and Otherwise. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bridges highlight paths between different parts of the Filled pause map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Filled pause to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Art & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Filled pause · EN edition · Analysis: TopicsToTalkAbout