Statistics

Text Inspector is a professional online tool for giving you key statistics about your text

As these statistics play an important part in other tools, you can correct them if Text Inspector has analysed them wrongly.

Stats_summary_v2

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Sentence count: This is the number of sentences in your document. At the bottom of the page you can see your text divided into sentences.Stats_Amend
If the count is wrong you can change it by clicking on Amend, changing the count, and then clicking Update scores at the bottom of the page.

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Token count: This is the total count of every word in your document (tokens). For example, the sentence: The cat sat on the mat has six tokens.

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Type count: This is the count of all unique words in your document (types). For example, the sentence The cat sat on the mat has five types (unique words), because ‘the’ is repeated.

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Syllable count: We believe that Text Inspector offers the most reliable and accurate syllable counter for English available online. It counts all the syllables in your document by reference to data provided by the opensource Carnegie Mellon dictionary, which includes over 133,000 words with accurate syllable counts. In addition, if a word is not in the dictionary TextInspector provides an estimate of the syllable quantity.
However, it is not perfect, and some speakers might use different syllable counts. For example it counts Australian as having three syllables, whereas some speakers might use four (two for the last three letters).
So if you want to change the count you can click on Amend, change the number, and then click Update scores at the bottom of the page.
Syllable count is used to calculate other statistics such as Flesch Kincaid, so if you change it you will also change those counts.

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Type/token ratio (TTR): This measures the ratio of the ‘types’ in your text against the number of ‘tokens’; the number of types is divided by the number of tokens.
For example a text with every word different will have a ration of 1.00, whereas a text with every word the same will have a low count.
Traditionally this measure has been considered important in evaluating the difficulty of a text, but more recently it has been criticised because it is not stable over different lengths of text. For this reason many analysts prefer to use Lexical Diversity as a measure. Text Inspector can calculate that too – see the description here.

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Number count: The number of digits in your text.

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Words with more than two syllables: This is the number of longer words in your text, those with more than  two syllables. This can be an indication of how difficult a text is, and can be used with other measures to see how many more advanced words the text uses.

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Average syllables per word / Average syllables per sentence / Syllables per 100 words: These measures tell you the ration of syllables per word, sentence and per 100 words. These can be useful measures, because it is often said that the more longer words (i.e. those with more syllables) in a text, then the more difficult it will be.

Readability scores

These measures are not reliable for short documents (below 100 words)

Flesch Reading Ease: This measure is calculated according to a ratio of total words, sentences and syllables as described here. Easier texts will have higher measures, up to 120, while more difficult texts will score lower, below 40.

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Flesch-Kincaid Grade: This measure is perhaps the most well-known and used measure of text difficulty. It considers mainly words, sentences and syllables in a formula which you can see here.
An easier text will have a higher score, as this means a higher US schooling grade.
However, it should be remembered that text difficulty consists of more than the elements considered by this measure.

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Gunning Fog index: This is another well-known measure of text difficulty. You can see more about it here. As that page says, a score of below 12 suggests a text which could be read widely by the public, and  score of below 8 indicates a very easy text.