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SPEAKING: Applications, Art & Products

In sociolinguistics, SPEAKING or the SPEAKING model, is a model socio-linguistic study (represented as a mnemonic) developed by Dell Hymes. Hymes developed this model as part of a new methodology referred to as the ethnography of speaking. This model is a tool to assist the identification and labeling of components of interactional linguistics that was…

Language: English [EN]
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SPEAKING topic overview

The analysis highlights Applications, Art and Products as prominent areas in the source structure around SPEAKING.

Related topics
23
Source areas
3
Connected nodes
26
Extracted relationships
43
Concept neighborhoods
12
Bridge connections
26

What this topic covers Research coverage

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.

Overview · 10 topics
Divisions · 9 topics
Applications · 4 topics

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.

Explore all related topics Closing gaps

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.

Overview

Divisions

Applications

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.

How SPEAKING connects Entity context

The extracted context around SPEAKING shows recurring relationship patterns in the source. For example, SPEAKING → Certain, Each, For, Linguistic, Participants, The, When Another extracted example is SPEAKING → For, Forms, Hymes, Instrumentalities, Similarly, These. Use these groups to spot repeated connection types before inspecting the individual relationships.

SPEAKING

Top relations

related to Participants · 7
SPEAKING → Certain, Each, For, Linguistic, Participants, The, When
related to Instrumentalities · 6
SPEAKING → For, Forms, Hymes, Instrumentalities, Similarly, These
related to Non-standard · 6
SPEAKING → Business Central, D365BC, Enterprise Resource Planning, ERP, In, Microsoft Dynamics
related to Setting and scene · 6
SPEAKING → At, Conversely, For, Scene, Setting, The
related to Repair · 4
SPEAKING → For, However, Repair, When
related to Rich points · 4
SPEAKING → MAR, Rich, These, This
related to Mistake · 3
SPEAKING → If, In, Mistakes
related to Standard (Linguistic) · 3
SPEAKING → Many, Speech, The SPEAKING
related to Awareness · 2
SPEAKING → Awareness, In

Important terminology

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

Important terminology

speech event model participants act used setting norms one may example key might story rules conversation acts components ends linguistic

SPEAKING relationships Subject–Predicate–Object triples

TTTA extracted 43 structured relationships around SPEAKING. Examples in this analysis include range of formality → instance of → including characteristics and SPEAKING → related to Awareness → Awareness. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
range of formalityinstance ofincluding characteristics0.80text
sense of play or seriousnessinstance ofincluding characteristics0.80text
SPEAKINGrelated to AwarenessAwareness0.60section
SPEAKINGrelated to AwarenessIn0.60section
SPEAKINGrelated to InstrumentalitiesInstrumentalities0.60section
SPEAKINGrelated to InstrumentalitiesThese0.60section
SPEAKINGrelated to InstrumentalitiesHymes0.60section
SPEAKINGrelated to InstrumentalitiesForms0.60section
SPEAKINGrelated to InstrumentalitiesFor0.60section
SPEAKINGrelated to InstrumentalitiesSimilarly0.60section
SPEAKINGrelated to MistakeMistakes0.60section
SPEAKINGrelated to MistakeIn0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around SPEAKING bring nearby vocabulary together. In this analysis, examples include Rules, Implicit and Register. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • speech acts
    • Event
    • Act
    • Sequence
    • Ends
    • Events
    • Speech
    • Rules
    • Example
    • May
    • Expectations
    • Used
    • Participants
  • linguistic competence
    • Ends
    • Key
    • Model
    • Participants
    • Speaking
    • Speech
    • Instrumentalities
    • Repair
    • Scene
    • Event
    • Sequence
    • Acts
  • linguistic anthropologists
    • Ends
    • Key
    • Model
    • Participants
    • Speaking
    • Speech
    • Instrumentalities
    • Repair
    • Scene
    • Event
    • Sequence
    • Acts
  • cultural norms
    • Scene
    • Setting
    • Many
    • Audience
    • Speak
    • Sequence
    • Aunt
    • Speech
    • Story
    • Act
    • Participants
    • Event
  • SPEAKING
    • Rules
    • Implicit
    • Register
    • Interrupting
    • Events
    • Expectations
    • Conversation
    • Used
    • Speech
    • Event
    • Turn-taking
    • Repair
  • speaking
    • Rules
    • Implicit
    • Register
    • Interrupting
    • Events
    • Expectations
    • Conversation
    • Used
    • Speech
    • Event
    • Turn-taking
    • Repair
  • ethnography of speaking
    • Rules
    • Implicit
    • Register
    • Interrupting
    • Events
    • Expectations
    • Conversation
    • Used
    • Speech
    • Event
    • Turn-taking
    • Repair
  • speech community
    • Event
    • Act
    • Rules
    • Example
    • May
    • Expectations
    • Used
    • Repair
    • Implicit
    • Interrupting
    • Conversation
    • Different

Connections between topic areas Semantic bridges

For SPEAKING, one of the stronger structural bridges in this analysis connects SPEAKING with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
SPEAKING — Overview · splits 16 ⟂ 11
SPEAKING — Divisions · splits 17 ⟂ 10
SPEAKING — Applications · splits 22 ⟂ 5

Map overview Semantic statistics

SPEAKING

Nodes27
Edges26
Triples43
Avg. degree1.93
Density0.074074
Components1

Source & methodology

TTTA analyzes the structure around SPEAKING to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Applications, Art & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — SPEAKING · EN edition · Analysis: TopicsToTalkAbout

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