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Rime table: History & Products
A rime table or rhyme table (simplified Chinese: 韵图; traditional Chinese: 韻圖; pinyin: yùntú; Wade–Giles: yün-t'u) is a Chinese phonological model, tabulating the syllables of the series of rime dictionaries beginning with the Qieyun (601) by their onsets, rhyme groups, tones and other properties. The method gave a significantly more precise and…
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Rime table topic overview
The analysis highlights History and Products as prominent areas in the source structure around Rime table.
Related topics
63
Source areas
4
Connected nodes
67
Extracted relationships
74
Concept neighborhoods
20
Bridge connections
67
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.
Structure · 28 topics
Overview · 21 topics
History · 9 topics
Thirty-six initials · 5 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.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
How Rime table connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Rime table shows recurring relationship patterns in the source. For example, Rime table → Anatoly, Auroux, Branner, Bruce, Chen, China, Chinese, Christopher, Columbia University Press, David Prager, Detwyler, Gruyter, Hans-Josef, History, ISBN, Jack, Kees, Koerner, Language Sciences, Literary Information Another extracted example is Rime table → Aurel Stein, AustraliaSisheng, Bibliothèque, BNF, British Library Or, Chinese Text Project, Chinese University, Dunhuang, Dylan, Fragments, France Pelliot, Guī, Hong KongRhyme Tables, Internet Archive, Kangxi, Mogao Caves, National Library, Paul Pelliot, Qiyin, Scanned. Use these groups to spot repeated connection types before inspecting the individual relationships.
Rime table
Top relations
related to Further reading· 31
Rime table → Anatoly, Auroux, Branner, Bruce, Chen, China, Chinese, Christopher, Columbia University Press, David Prager, Detwyler, Gruyter, Hans-Josef, History, ISBN, Jack, Kees, Koerner, Language Sciences, Literary Information
related to External links· 26
Rime table → Aurel Stein, AustraliaSisheng, Bibliothèque, BNF, British Library Or, Chinese Text Project, Chinese University, Dunhuang, Dylan, Fragments, France Pelliot, Guī, Hong KongRhyme Tables, Internet Archive, Kangxi, Mogao Caves, National Library, Paul Pelliot, Qiyin, Scanned
related to Structure· 7
Rime table → Guangyun, In, Qieyun, Similarly, The, There, Thus
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 74 structured relationships around Rime table. Examples in this analysis include definitions → instance of → and do not contain dictionary-like material and the Qieyun zhizhangtu have 36 columns → instance of → Some later tables. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
definitions
instance of
and do not contain dictionary-like material
0.80
text
the Qieyun zhizhangtu have 36 columns
instance of
Some later tables
0.80
text
one for each of the 36 initials.The 36 initials were so influential that it was not until 1842 that it was discovered
instance of
Some later tables
0.80
text
Rime table
related to External links
Fragments
0.60
section
Rime table
related to External links
Mogao Caves
0.60
section
Rime table
related to External links
Dunhuang
0.60
section
Rime table
related to External links
British Library Or
0.60
section
Rime table
related to External links
Guī
0.60
section
Rime table
related to External links
Aurel Stein
0.60
section
Rime table
related to External links
Bibliothèque
0.60
section
Rime table
related to External links
France Pelliot
0.60
section
Rime table
related to External links
BNF
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Rime table bring nearby vocabulary together. In this analysis, examples include Tables, Table and Qieyun. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Rime table
Tables
Table
Qieyun
Dictionaries
Tones
Believed
Rhyme
Initial
Groups
Syllables
Chinese
Initials
rime table
Tables
Table
Qieyun
Dictionaries
Tones
Group
Rows
Believed
Rhyme
Initial
Groups
Occur
simplified chinese
Middle
Early
Phonological
Qieyun
Late
Rime
Dictionaries
Rhyme
Groups
Tables
Analysis
Preface
traditional chinese
Middle
Early
Phonological
Qieyun
Late
Rime
Dictionaries
Rhyme
Groups
Tables
Analysis
Preface
rime dictionaries
Tables
Characters
Table
Qieyun
Dictionaries
Rime
Phonological
Used
Believed
Rhyme
Groups
Syllables
qieyun
Rime
Tables
Table
Initials
Rhyme
Rows
Groups
Late
Preface
Early
Classes
Later
rhyme
Groups
Tones
Tone
Guangyun
Charts
Four
Syllables
Group
Rime
Tables
Respectively
Classes
middle chinese
Early
Middle
Late
Phonological
Qieyun
Rime
Guangyun
Respectively
Chart
Dictionaries
Four
Rhyme
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Rime table, one of the stronger structural bridges in this analysis connects Rime table with Structure. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Rime table
Nodes68
Edges67
Triples74
Avg. degree1.97
Density0.029412
Components1
Source & methodology
TTTA analyzes the structure around Rime table to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
