World's simplest browser-based utility for creating skip-grams from text. Load your text in the input form on the left, set the values for k and n, and you'll instantly get k-skip-n-grams in the output area. Powerful, free, and fast. Load text – get k-skip-n-grams. Created by developers from team Browserling.
World's simplest browser-based utility for creating skip-grams from text. Load your text in the input form on the left, set the values for k and n, and you'll instantly get k-skip-n-grams in the output area. Powerful, free, and fast. Load text – get k-skip-n-grams. Created by developers from team Browserling.
With this tool, you can generate skip-grams (also known as k-skip-n-grams) for any text. Skip-grams are similar to n-grams but with the key difference being that words (or letters) aren't next to each other. Skip-grams can have gaps of constant length between words (or letters), which are controlled by the variable k. For example, a 2-gram (also known as bigram) is a sequence of consecutive words (or letters) of length 2. A 1-skip-2-gram is a similar sequence of words (letters) of length 2 but with 1 word skipped between them. For example, a 2-gram for the sentence "you reap what you sow" is "you reap, reap what, what you, you sow" but the 1-skip-2-gram for the same sentence is "you what, reap you, what sow". As you can see every 1 word is skipped in this sequence. You can specify any value for the skip "k" parameter and the group length "n" parameter in the options. By default, the program creates word skip-grams but you can also create skip-grams for individual letters by switching to the corresponding mode in the options. For example, if the skip-gram generation mode is selected for letters and you're generating 2-skip-3-grams (k=2, n=3), then the text "orange cats" will be converted to the sequence "on_, rgc, aea, n_t, gcs". Here, the "_" symbol denotes a space. The program uses it to visualize spaces in letter groups. If necessary, you can change this symbol in the "Symbol to Replace Spaces" option and use a regular space here. To ensure a consistent data format for all skip-grams, the utility converts all letters to lowercase by default but you can choose not to do this in the options. The program also removes the set of commonly used punctuation marks. By default, the removed punctuation marks are "?.,!()". You can add any other punctuation marks here or disable the "Delete Punctuation Marks" checkbox so that punctuation is not removed from the text. By default, the program does not take into account the beginning and end of each sentence. It creates a continuous skip-gram for all sentences in the text. But if you want to generate skip-grams for individual sentences, you can activate the "Stop at the Sentence Edge" option. Finally, you can customize the separation symbols between k-skip-n-grams in the output by specifying which symbol to use inside each n-gram (by default, it's a space) and which symbol to use between n-grams themselves (by default, it's a newline "\n"). Textabulous!
With this tool, you can generate skip-grams (also known as k-skip-n-grams) for any text. Skip-grams are similar to n-grams but with the key difference being that words (or letters) aren't next to each other. Skip-grams can have gaps of constant length between words (or letters), which are controlled by the variable k. For example, a 2-gram (also known as bigram) is a sequence of consecutive words (or letters) of length 2. A 1-skip-2-gram is a similar sequence of words (letters) of length 2 but with 1 word skipped between them. For example, a 2-gram for the sentence "you reap what you sow" is "you reap, reap what, what you, you sow" but the 1-skip-2-gram for the same sentence is "you what, reap you, what sow". As you can see every 1 word is skipped in this sequence. You can specify any value for the skip "k" parameter and the group length "n" parameter in the options. By default, the program creates word skip-grams but you can also create skip-grams for individual letters by switching to the corresponding mode in the options. For example, if the skip-gram generation mode is selected for letters and you're generating 2-skip-3-grams (k=2, n=3), then the text "orange cats" will be converted to the sequence "on_, rgc, aea, n_t, gcs". Here, the "_" symbol denotes a space. The program uses it to visualize spaces in letter groups. If necessary, you can change this symbol in the "Symbol to Replace Spaces" option and use a regular space here. To ensure a consistent data format for all skip-grams, the utility converts all letters to lowercase by default but you can choose not to do this in the options. The program also removes the set of commonly used punctuation marks. By default, the removed punctuation marks are "?.,!()". You can add any other punctuation marks here or disable the "Delete Punctuation Marks" checkbox so that punctuation is not removed from the text. By default, the program does not take into account the beginning and end of each sentence. It creates a continuous skip-gram for all sentences in the text. But if you want to generate skip-grams for individual sentences, you can activate the "Stop at the Sentence Edge" option. Finally, you can customize the separation symbols between k-skip-n-grams in the output by specifying which symbol to use inside each n-gram (by default, it's a space) and which symbol to use between n-grams themselves (by default, it's a newline "\n"). Textabulous!
This program creates a 1-skip-2-gram from words in a short sentence about the ocean. The parameter "k=1" means "skip one word" and the parameter "n=2" means combine two words". So to create a 1-skip-2-gram, it combines the 1st word with the 3rd, the 2nd word with the 4th, the 3rd word with the 5th, the 4th word with the 6th, and the 5th word with the 7th. To make sure the data is consistent and the words in the 1-skip-2-gram have the same format, it converts all letters to lowercase and removes the period at the end of the sentence. In the output, it prints the 1-skip-2-gram in a vertical column and separates pairs of words within groups with spaces.
In this example, we create individual skipgrams for each sentence. To do this, we activate the "Stop at the Sentence Edge" mode. This mode splits the text into separate sentences and creates skipgrams for each sentence separately. We set the parameters for the skipgrams to k = 2 and n = 2 (making 2skip2grams), separate the words within each bigram with the ellipsis symbol "…", and separate individual 2grams with a Unicode block symbol "▐".
In this example, we switch to the letter skip-gram generation mode. In this mode, individual letters of the words are used as units. We create groups of letters of length 4 and skip 3 consecutive letters between them. We also remove all punctuation, turn letters to lowercase, and use the "_" character to show whitespaces.
You can pass input to this tool via ?input query argument and it will automatically compute output. Here's how to type it in your browser's address bar. Click to try!
Find Levenstein distance of two text fragments.
Create a list of all words in text.
Lemmatize all words in text.
Apply stemming to all words in text.
Add color to punctuation symbols in text.
Add color to letters in text.
Add color to words in text.
Add color to sentences in text.
Add color to paragraphs in text.
Add slight perturbations to the given text.
Mess up characters in your text.
Generate text using random words.
Generate lorem ipsum placeholder text.
Generate a crossword puzzle from the given words.
Convert English text to Braille writing system.
Convert Braille symbols to English text.
Convert text characters to their corresponding code points.
Convert numeric character code points to text.
Convert CSV data to plain text columns.
Convert plain text columns to a CSV file.
Create a list of all 3-grams.
Encode the entire text to a single number.
Decode text that was encoded as a number back to text.
Divide text into chunks of certain size.
Apply formatting and modification functions to text.
Count the number of punctuation marks and other sybmols in text.
Count the number of letters in text.
Count the number of sentences in text.
Count the number of paragraphs in text.
Apply text transformation rules to any text.
Analyze text for interesting patterns.
Add accent marks to text letters.
Add a counter before every letter in text.
Add a counter before every word in text.
Add a counter before every sentence in text.
Add a counter before every paragraph in text.
Interleave the letters or words of the given text fragments.
Mess up the spacing between letters in any text.
Extract all emails from text.
Extract all URLs from text.
Extract all numbers from text.
Extract all countries from text.
Extract all cities from text.
Convert text to punycode.
Convert punycode to text.
Encode text to Baudot encoding.
Decode Baudot-encoded text.
Encode text to base32 encoding.
Decode base32-encoded text.
Encode text to base45 encoding.
Decode base45-encoded text.
Encode text to base58 encoding.
Decode base58-encoded text.
Encode text to Ascii85 encoding.
Decode Ascii85-encoded text.
Encode text to base65536 encoding.
Decode base65536-encoded text.
Encode text to nettext encoding.
Decode nettext-encoded text.
Convert written text into natural sounding voice.
Convert a voice recording to text.
Encode text to UTF8 encoding.
Decode UTF8-encoded text.
Encode text to UTF16 encoding.
Decode UTF8-encoded text.
Encode text to UTF32 encoding.
Decode UTF32-encoded text.
Encode text to IDN.
Decode IDN-encoded text.
Convert text to Unix-to-Unix encoding.
Decode Unix-to-Unix-encoded text.
Convert text to Xxencoding.
Decode Xxencoded text.
Encode text to QP encoding.
Decode QP-encoded text.
Remove all HTML tags from Text.
Remove all XML tags from Text.
Remove new line symbols from the end of each text line.
Find the difference between two text fragments.
Generate various text typos.
Generate a mirror reflection of text.
Cut out a piece of text.
Grep text for regular expression matches.
Extract first symbols, words, or lines from text.
Extract last symbols, words, or lines from text
Return the first letter of each word in text.
Make every paragraph to be two paragraphs in the given text.
Create an image from all words in text.
Create a circle from all letters in text.
Create a spiral from all letters in text.
Create a circle from all words in text.
Create a matrix of any dimensions from letters in text.
Create a matrix of any dimensions from words in text.
Create a spiral from all words in text.
Split the input text into syllables.
Write any text on an LCD display (with LCD font).
Convert text to 2-dimensional drawing.
Convert text to 3-dimensional drawing.
Create a horizontally or vertically scrolling text.
Create a GIF animation of a text message.
Create a GIF animation that slowly reveals a text message.
Decode text using the wrong encoding and create garbled text.
Try to find original text from garbled mojibaked text.
Make text harder to read.
Generate the entire alphabet from a to z.
Print the alphabet in random order.
Delete swear words from text.
Edit text in a neat browser-based editor.
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We're Browserling — a friendly and fun cross-browser testing company powered by alien technology. At Browserling we love to make people's lives easier, so we created this collection of online text tools. Our tools are focused on getting things done and as soon as you load your text in the input of any of our tools, you'll instantly get the result. Behind the scenes, our online text tools are actually powered by our web developer tools that we created over the last couple of years. Check them out!
