Generate Text Skip-grams

Find hidden connections. Generate k-skip-n-grams to analyze non-adjacent word patterns.

101 chars20 words
#
Skip-gram
Count
%
1
a journey
1
2.70%
2
a miles
1
2.70%
3
a of
1
2.70%
4
a single
1
2.70%
5
a step
1
2.70%
6
a thousand
1
2.70%
7
begins a
1
2.70%
8
begins with
1
2.70%
9
brown fox
1
2.70%
10
brown jumps
1
2.70%
11
dog a
1
2.70%
12
dog journey
1
2.70%
13
fox jumps
1
2.70%
14
fox over
1
2.70%
15
journey a
1
2.70%
16
journey of
1
2.70%
17
jumps over
1
2.70%
18
jumps the
1
2.70%
19
lazy a
1
2.70%
20
lazy dog
1
2.70%
21
miles begins
1
2.70%
22
miles with
1
2.70%
23
of a
1
2.70%
24
of thousand
1
2.70%
25
over lazy
1
2.70%
26
over the
1
2.70%
27
quick brown
1
2.70%
28
quick fox
1
2.70%
29
single step
1
2.70%
30
the brown
1
2.70%
31
the dog
1
2.70%
32
the lazy
1
2.70%
33
the quick
1
2.70%
34
thousand begins
1
2.70%
35
thousand miles
1
2.70%
36
with a
1
2.70%
37
with single
1
2.70%

Configuration

N-Gram Size2 words
25
Skip Distance (K)1 skips
0 (Standard)5

Data Actions

Statistics

Total Found37
Unique37
Top Skip-grama journey

Continue with Related Tools

Text Unigrams

Single word frequency.

Text Bigrams

Two-word phrase analysis.

Text N-grams

Custom sequence length.

Discover Hidden Text Patterns

The Generate Text Skip-grams tool takes text analysis beyond simple adjacency. By allowing "skips" (gaps) between words, it reveals how terms relate to each other even when separated by descriptive words or conjunctions. It is an essential utility for training Word2Vec models, performing semantic search, and advanced corpus linguistics.

Powerful Features

Adjustable 'K' Skip

Control the look-ahead distance. Set K=1 to skip one word, or up to K=5 for loose connections.

Flexible 'N' Size

Don't stop at pairs. Generate skip-trigrams (3 words) or 4-grams with gaps.

Instant Export

Get your training data ready. Export frequency lists as CSV or JSON in one click.

File Processing

Upload .txt or .md documents directly to analyze large bodies of text.

Results Filtering

Instantly search through thousands of generated skip-grams to find specific keys.

Lightning Fast

Optimized algorithms generate thousands of combinations in milliseconds.

Why Use Skip-grams?

Semantic Understanding

Standard bigrams see "kick the ball" as [kick, the], [the, ball]. Skip-grams see [kick, ball], capturing the true action being performed.

Robust Data for AI

By providing more context pairs, skip-grams help train models that are robust to variations in phrasing and sentence structure.

Visual Example

Sentence: "The quick brown fox"
Standard Bigrams (K=0):
1. The quick
2. quick brown
3. brown fox
1-Skip-Bigrams (K=1):
All K=0 results PLUS:
1. The brown (skips 'quick')
2. quick fox (skips 'brown')

How to Use

  1. Enter Text: Paste your source text or upload a document.
  2. Set N-Size: Choose the length of the sequence (usually 2).
  3. Set K-Skip: Choose how many words can be skipped (start with 1 or 2).
  4. Filter: Toggle "Stop Words" to remove noise like "the" or "and".
  5. Download: Export your unique pattern list as a CSV.

Frequently Asked Questions

What is a skip-gram?

A skip-gram is a generalization of an N-gram where the words in the sequence do not need to be adjacent. They allow for 'skipping' over a certain number of words (defined by k) to find relationships between nearby but separated terms.

What does 'k-skip-n-gram' mean?

k represents the maximum distance allowed between words, and n is the number of words in the sequence. For example, a 1-skip-2-gram finds pairs of words that are either next to each other or separated by exactly one word.

How is this used in AI and NLP?

Skip-grams are the foundation of the Skip-gram model used in Word2Vec. By training on skip-grams, AI models learn that 'bank of the river' and 'bank river' are contextually related, understanding word meanings based on their recurring neighbors.

What is the difference between Bigrams and Skip-grams?

A standard Bigram only considers adjacent keys (Word A + Word B). A Skip-gram with k=1 would consider (Word A + Word B) AND (Word A + Word C), skipping 'Word B' to link A and C directly.

Can I filter out common words?

Yes, our tool includes a Stop Words filter that removes common non-descriptive words (like 'the', 'and', 'in') before processing, ensuring your skip-grams focus on meaningful content.

What is the maximum skip distance supported?

You can set the skip distance (k) up to 5 words. We found this range covers the vast majority of linguistic use cases while keeping processing time efficient.

Does this tool work with large files?

Yes, you can upload .txt, .md, or .csv files to analyze entire articles or datasets. The tool processes everything locally in your browser for privacy and speed.

How do I export the results?

After generation, you can click Export CSV to open the data in Excel, or Export JSON for programmatic use. You can also copy the list to your clipboard.

Is punctuation handled correctly?

By default, the tool ignores punctuation to focus on pure word relationships. You can disable this if you need to treat punctuation marks as tokens in your sequence.

Is this tool free to use?

Yes, Generate Text Skip-grams is completely free, with no daily limits or sign-up required.