…here’s your very own AI dictionary
Do you know what is currently the ultimate buzzword? Right, it’s AI – artificial intelligence. Over the last few months, it’s been practically impossible to avoid the subject. This is mostly due to the introduction of ChatGPT – the most talked-about AI application that you can use to generate content in just seconds (yes, we published an article about this as well – you can read it here).
With AI come terms like text generation, summarization, lemmatization, speech tagging, and BERT. If you’re not working with AI a lot yet, it’s hard to keep track of these terms. So to guide you through AI and its buzzwords, we created a little AI dictionary for you here.
Dictionary of the most common AI terms
There are several AI applications that you can use for text generation. These applications use artificial intelligence to create written content. You can use this content for blogs, social media, reports, instruction manuals, and much more.
Summarization – or text summarization – is the process of condensing large bodies of text into their most important parts. You can use it for static, pre-existing texts. There are two summarization methods: extractive and abstractive.
The first extracts the most important sentences from the original text. The second generates summaries itself, which may contain sentences or words that are not in the original text.
Lemmatization is the process of finding the base form (the lemma) of the related word in the dictionary. It doesn’t simply cut off inflections. Instead, it uses lexical knowledge bases to find the correct base form of words. For example, a lemmatization algorithm knows the word better is derived from the lemma good.
Search engines like Google, chatbots and virtual assistants use lemmatization to better understand the meaning of sentences.
Speech tagging – or grammatical tagging – is the labeling of the words used in a text according to their word types. The word types are: nouns, adjectives, adverbs, verbs, prepositions, conjunctions, pronouns, and interjections.
Did you ever search for something on Google that can have multiple meanings? Something like “how to catch a cow fish.” Up until recently, you would receive search results focusing on cows. With BERT, the search engine now knows you mean cowfish.
BERT is an algorithm based on AI. Computers and software can use the algorithm to better understand the meaning of sentences and words by looking at the context and order of the words. In other words, BERT improves the language comprehension of Google. The words catch and fish alert the search engine that you’re not asking about cows, but about cowfish.
Where Textmetrics fits in
If we look at the above dictionary, you might wonder how we would describe Textmetrics. Let’s give that a go here.
Textmetrics is smart AI writing software that you use to personalize your content and increase its quality. It’s a simple approach to a complicated task. The text optimizer on the platform for text improvement gives you suggestions for improving the quality of your content. This makes writing easier and more efficient. You’ll write understandable, high-quality, and gender-neutral content that appeals to your entire target group.
Do you want to read even more about AI, our platform and more? Check out our other articles here.