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In this post we will go over and share a free Google Sheets Template to help use in your content creation and editing workflow. This tool is “not supported” but is meant as an illustration of what you can do with the Originality API.
If your content creation workflow is in AirTable this example use case of the API will help you check if content entered into the AirTable is AI generated or not. Use this free “unsupported” example of how to integrate Originality.AI AI content detection API into your content production workflow.
Although there are several readability tests out there, one of the underlying features that all of them have in common is the ability to assign a specific level of difficulty (or grade level) to a text in order to determine its difficulty and complexity. The Bormuth readability index is one such test. The Bormuth Readability Index (also called the Bormuth Formula) assigns a grade level to text based on character count and average number of familiar words. Unlike other readability formulas like Flesch Kincaid which focus on syllable count, Bormuth relies on a word list from the Dale-Chall readability formula. In order to understand how the Bormuth Readability Inde works, it’s important to touch on how the Dale-Chall formula works.
The Rix readability formula (often mentioned alongside a similar formula known as the Lix readability formula) is a readability formula that’s based on letter counting. Rather than being based on syllables like other formulas, Rix tackles the approach differently. Measuring readability based on syllables can be difficult in languages other than English, and both Rix and Lix are better optimized to work with foreign languages> In order to understand the Rix readability formula though, we have to take a step back to the original formula, known as Lix.
The Linsear Write Readability Formula was developed by Edward Fry and Richard Linsear and is specifically designed to measure how readable a text is. Like Flesch-Kincaid and other readability tests, it estimates the grade level needed in order to comprehend the text by analyzing the number of simple and complex words within it. But how well does it work in practice and are there any limitations to be aware of? Let’s take a closer look in this detailed article on the Linsear Write Readability formula and how it measures readability.
In the educational world, reading and comprehension are two of the most critical skills to be developed. In order to make sure that students fully understand what they read, educators have developed the cloze deletion test. In this article, we’ll take a closer look at cloze deletion tests and how they affect readability as well as how to improve readability with free tools available online.
Like its counterpart in English, the IELTS, the CEFR test or Common European Framework of Reference for languages is a common assessment used to test one’s proficiency in a language. It measures fluency across a wide range of areas and, as a framework, gives a designation that can be used when applying for jobs or for higher education. Because of its flexibility and use across different languages and cultures, it gives employers, teachers and other individuals a centralized and understandable mechanism for evaluating language proficiency.
The IELTS or International English Language Testing System is a standardized test that is used and accepted by thousands of organizations and institutions around the world. It is designed to test the English language proficiency of applicants who want to migrate to, study or work in English-speaking countries and is often required by universities, employers, immigration authorities and professional organizations.
Everybody wants documents that people are going to find easy to read. You want the potential readers of the documents to understand them by the way they send information back to you. To do this, plain language is needed. You have probably heard about school grade levels and readability levels from articles on common readability formulas such as the FORCAST Readability Formula. You probably know all about readability metrics online. They help you get your text down to a particular grade level.
The Lix Reading Formula has become extremely useful for application in several non-English languages, being used for both English and non-English texts. You might have heard of the Rix Reading Formula before. The Lix is much the same as the Rix and assesses reading skills and readability of texts.
The Coleman-Liau Index is unlike most other reading formulas. It doesn’t subscribe to formulas that contain syllables. What it does do is take into account how long words are. Even though it does differ from the other reading indexes, the Coleman-Liau Readability Index is still one that is commonly used today.
Ever heard of the Raygor Readability Graph? It’s an English readability assessment. It helps readers understand and read English language text and assess average grade levels for text readability. It was created by a man called Alton L. Raygor in 1977. In the U.S., assessment of grade levels is calculated by a general number of sentences and letters. These are found in a text of 100 words. The results get plotted onto a graph. On the graph, the results achieved from the average number of sentences and words counted will reveal the average reading level of the text.
Back in the day, in 1958, three guys created a powerful readability measure, the Power-Sumner-Kearl Readability Formula. They were R.D. Powers, B.E. Kearl, and W.A. Summer. This formula was published in a journal called A Recalculation of Four Adult Readability Formulas at the University of Wisconsin. Their readability formula, designed to improve reading by assessing readability level, was created mostly for the primary grades up to the 3rd-grade level. Their formula takes into consideration how many words are present, how many sentences there are, as well as the number of syllables.
The Dale-Chall Readability Formula is useful in figuring out readability. It has been used in schools to determine the right type of text to be used, particularly for kids at 4th and 5th-grade levels. The Dale-Chall Readability Formula can measure vocabulary knowledge, language skills, and comprehension knowledge. A top feature of the Dale-Chall Readability Formula is that it helps highlight all the unnecessary words in a text that make it more difficult for kids to read.
If you want a method of discovering how hard a piece of writing is to read, you will find the Spache Readability Formula does that. The Spache will compare words that are in the text to words on a specific list that are familiar to the reader. If the word is not found on the list, it is classified as an unfamiliar word.
One of the readability tests that was developed early in the 20th century is the Automated Readability Index or ARI. There was a desire in many US industries for improved readability. So in 1967, the ARI was developed, particularly for military use. The purpose of the ARI was to monitor readability on electric typewriters. Remember, this was before the digital age. The ARI became a welcome way to measure readability. Nobody wanted to do the readability score calculations manually so this was a great relief! The ARI involved a special tabulator called the Readability Index Tabulator. This was attached to the typewriters of the day for the testing and real-time monitoring of readability accuracy. It was Mr. Robert Roettele who designed the Automated Readability Index tabulator.
Readability is all about how you deal with reading. Do you find it easy to read through papers or articles? Or do you find it difficult with long sentences and words with unknown meanings? Readability involves what you see as you read, like the font size, the text presentation, the colors used, etc.
The Gunning Fog Index measures readability. And what is good readability? It’s when you write something and the person reading clearly understands what you are communicating. It can be challenging to ensure that what you write makes sense to average readers. It's not always easy to hold your intended audience's attention so that they want to go on reading, which is where the Gunning Fog Index comes in.
Machine Learning (ML) is an aspect of Artificial Intelligence (AI) that uses algorithms and data to enable machines and computers to learn automatically. It basically helps machines and computers to predict outcomes accurately. Machine learning originated in the early 1950s with the evolvement of simple algorithms from pre-1950s statistical methods. Then this evolved into reinforcement
Our free invisible text tool lets you copy any number of special blank space “unicode” characters. Whether it be for a specific username or messaging app, we have identified the empty character that has the best chance of working for you.
Editing web content is different than editing copy for social media or print, although some aspects do overlap, like correcting grammar. Discover editing guidelines for editors publishing blogs and articles on the web.
Several US newspapers published a list of books credited to real authors that were, in fact, AI hallucinations. Could this have been prevented? We used our proprietary Originality.ai AI Detection and Fact Checking software to find out!
We looked at all lawsuits occurring against OpenAI and listed them below. In addition to the relevant detail we had a lawyer provide some commentary. This list will remain updated as an easy-to-reference location for any lawsuits against OpenAI ordered by date (oldest to newest).
The rapid development of AI writing tools has led to many positive changes. Businesses with limited resources can produce more content, writers suffering from writer's block can find solutions, and those who struggle to get their thoughts down on paper can finally explain their thoughts.
Discover seven best e-commerce content marketing techniques, including SEO blogs, product guides, and more, to increase conversions and sales. Plus, find out why it’s best practice to include AI detection in your e-commerce content marketing strategy.
With our proprietary Originality.ai AI detection tool, we studied the proportion of AI-generated lawyer’s office reviews from 2020 to 2025 in the USA and discovered a notable increase in AI content from 2022 to 2025. These are our findings.
Ever since ChatGPT and other AI content creation launched into the mainstream, one question has been on the tip of many users' tongues. Can my audience, AI content detectors, or Google detect AI content, and if so, is there a way to get around AI detector algorithms?
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