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  2. 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.

  3. Grammar checker - Wikipedia

    en.wikipedia.org/wiki/Grammar_checker

    A grammar checker will find each sentence in a text, look up each word in the dictionary, and then attempt to parse the sentence into a form that matches a grammar. Using various rules, the program can then detect various errors, such as agreement in tense, number, word order, and so on. It is also possible to detect some stylistic problems ...

  4. Help:Citation tools - Wikipedia

    en.wikipedia.org/wiki/Help:Citation_tools

    MakeRef: A form for creating various {} templates. OABOT, a tool that finds open-access links for citations; Web2Cit: An automatic citation generator for web sources, meant to complement citation results by Citoid for which no valid translators exist. Web2Cit translators are community controlled. It runs its own server on toolforge.

  5. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation.LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.

  6. Turnitin - Wikipedia

    en.wikipedia.org/wiki/Turnitin

    [9] [10] This has happened when students use the grammar-correcting software Grammarly, which is recommended for student use by many schools. [11] [12] [13] Turnitin says that they believe about 1% of the papers they flag as AI-written were actually written by humans, and that a much higher rate is generated by AI but not flagged. [6] [14]

  7. Levenshtein distance - Wikipedia

    en.wikipedia.org/wiki/Levenshtein_distance

    In information theory, linguistics, and computer science, the Levenshtein distance is a string metric for measuring the difference between two sequences. The Levenshtein distance between two words is the minimum number of single-character edits (insertions, deletions or substitutions) required to change one word into the other.

  8. Syncword - Wikipedia

    en.wikipedia.org/wiki/Syncword

    Various techniques are used to avoid delimiter collision, or‍—‌in other words‍—‌to "disguise" bytes of data at the data link layer that might otherwise be incorrectly recognized as the syncword. For example, HDLC uses bit stuffing or "octet stuffing", while other systems use ASCII armor or Consistent Overhead Byte Stuffing (COBS).

  9. Phrase structure rules - Wikipedia

    en.wikipedia.org/wiki/Phrase_structure_rules

    Thus each individual word is a constituent. Further, the subject NP Colorless green ideas, the minor NP green ideas, and the VP sleep furiously are constituents. Phrase structure rules and the tree structures that are associated with them are a form of immediate constituent analysis.

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