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2. Reverso (language tools) - Wikipedia

   en.wikipedia.org/wiki/Reverso_(language_tools)

   Reverso has been active since 1998, with the aim of providing online translation and linguistic tools to corporate and mass markets. [3] [4] In 2013 it released Reverso Context, a bilingual dictionary tool based on big data and machine learning algorithms. [5] In 2016 Reverso acquired Fleex, a service for learning English via subtitled movies.

3. LanguageTool - Wikipedia

   en.wikipedia.org/wiki/LanguageTool

   The core app itself is free and open-source and can be downloaded for offline use. Some languages use ' n-gram ' data, [ 7 ] which is massive and requires considerable processing power and I/O speed, for some extra detections.

4. Foreign-language writing aid - Wikipedia

   en.wikipedia.org/wiki/Foreign-language_writing_aid

   Presently, many notable dictionaries are available online and basic usage is usually free. These online dictionaries allow learners of a foreign language to find references for a word much faster and more conveniently than with a manual version, thus minimising the disruption to the flow of writing. [30]

5. 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.

6. 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 ...

7. Ginger Software - Wikipedia

   en.wikipedia.org/wiki/Ginger_Software

   The algorithm underlying the software studied a vast pool of proper sentences in English and builds a model of proper language. The software does not analyze the text at the level of the word, but of the whole sentence. Dyslectics can have trouble choosing the right word – hence the attention to the sentence as a whole. [10]