COCT 書面語語料庫2026
Analyse corpus

This page contains controls for advanced corpus analysis functions. WARNING: currently under development. You have been warned.

Click here for the experimental Lexical Growth Curve tool

Select analysis
Choose an option for corpus analysis:
Saved feature matrices
Name Subcorpus Object unit No. of features No. of objects Date created Actions
You have no saved feature matrices.
Design feature matrix for multivariate analysis
A feature matrix records measurements for selected texts. It can be used for principal component, cluster, or factor analysis.
Select unit of analysis
Choose a unit of analysis (for factoring, clustering, etc.) Currently, only texts can be used as analysis units.
Define object labelling method
Each item in a feature matrix needs a label. Choose how the labels are generated.
Select texts
Select a subcorpus or the full corpus. Only its texts will be included in the feature matrix.
Select features (from saved queries)
Use the tickboxes below to select the saved queries you want to include as features.
Use? Name No. of hits Date Discount?
(100% = No discount)
You do not have any saved queries.
Select features (based on query permutation)
Computed features combine saved query results arithmetically, such as subtracting one query frequency from another.
Use? Operand # 1 Op Operand # 2 Discount?
(100% = No discount)
You do not have any saved queries.
Select additional features
Use? Description

Additional features that do not depend on saved queries are listed below.

  • Standardised type-token ratio (by increments of 400/1,000/2,000)
  • Average word length (optionally limited to regular forms)

Other statistical features can be defined by combining saved query results, such as lexical density.

Every token, including punctuation, is included.

Excludes punctuation, formulas, and other tokens unlikely to be words.
Enter a name for this new feature matrix: