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  2. Wikipedia:WikiProject Spoken Wikipedia - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:WikiProject...

    Software that converts text to voice is readily available and can be easily used to read out Wikipedia pages on-the-fly. See screen reader . The web-based Pediaphon service uses speech synthesis to generate MP3 audio files and podcasts of Wikipedia articles in different languages.

  3. Wikipedia : WikiProject Spoken Wikipedia/Reading guidelines

    en.wikipedia.org/wiki/Wikipedia:WikiProject...

    Begin each article with the following statement before you record the introduction to an article: "Article name, from Wikipedia, the free encyclopedia, at E N dot wikipedia dot org." Typically the standard header is read first in your article, or second if you wish to give a statement about the opening information. This opening information ...

  4. Grammarly - Wikipedia

    en.wikipedia.org/wiki/Grammarly

    Grammarly is an English language writing assistant software tool. It reviews the spelling, grammar, and tone of a piece of writing as well as identifying possible instances of plagiarism. It can also suggest style and tonal recommendations to users and produce writing from prompts with its generative AI capabilities.

  5. Supercharge Your Productivity With These 8 Powerful AI ... - AOL

    www.aol.com/supercharge-productivity-8-powerful...

    Discover 8 powerful AI-supported browser extensions that can help you write emails, digest information, and transcribe audio. Supercharge Your Productivity With These 8 Powerful AI-Supported ...

  6. Automatic summarization - Wikipedia

    en.wikipedia.org/wiki/Automatic_summarization

    Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.

  7. Multi-document summarization - Wikipedia

    en.wikipedia.org/wiki/Multi-document_summarization

    Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. The resulting summary report allows individual users, such as professional information consumers, to quickly familiarize themselves with information contained in a large cluster of documents.

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