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  2. Example-based machine translation - Wikipedia

    en.wikipedia.org/wiki/Example-based_machine...

    Example-based machine translation systems are trained from bilingual parallel corpora containing sentence pairs like the example shown in the table above. Sentence pairs contain sentences in one language with their translations into another. The particular example shows an example of a minimal pair, meaning that the sentences vary by just one ...

  3. Natural language generation - Wikipedia

    en.wikipedia.org/wiki/Natural_language_generation

    Natural language generation (NLG) is a software process that produces natural language output. A widely-cited survey of NLG methods describes NLG as "the subfield of artificial intelligence and computational linguistics that is concerned with the construction of computer systems that can produce understandable texts in English or other human languages from some underlying non-linguistic ...

  4. Artificial Intelligence Markup Language - Wikipedia

    en.wikipedia.org/wiki/Artificial_Intelligence...

    The XML dialect called AIML was developed by Richard Wallace and a worldwide free software community between 1995 [citation needed] and 2002. AIML formed the basis for what was initially a highly extended Eliza called "A.L.I.C.E." ("Artificial Linguistic Internet Computer Entity"), which won the annual Loebner Prize Competition in Artificial Intelligence [3] three times, and was also the ...

  5. Computer-assisted translation - Wikipedia

    en.wikipedia.org/wiki/Computer-assisted_translation

    Most CAT tools have (a) the ability to translate a variety of source file formats in a single editing environment without needing to use the file format's associated software for most or all of the translation process, (b) translation memory, and (c) integration of various utilities or processes that increase productivity and consistency in ...

  6. Commonsense knowledge (artificial intelligence) - Wikipedia

    en.wikipedia.org/wiki/Commonsense_knowledge...

    The problem of attaining human-level competency at "commonsense knowledge" tasks is considered to probably be "AI complete" (that is, solving it would require the ability to synthesize a fully human-level intelligence), [4] [5] although some oppose this notion and believe compassionate intelligence is also required for human-level AI. [6]

  7. Translation memory - Wikipedia

    en.wikipedia.org/wiki/Translation_memory

    Import can be done from a raw format, in which an external source text is available for importing into a TM along with its translation. Sometimes the texts have to be reprocessed by the user. There is another format that can be used to import: the native format. This format is the one that uses the TM to save translation memories in a file.

  8. Man behind viral AI-generated Kamala Harris video tells ... - AOL

    www.aol.com/man-behind-viral-ai-generated...

    This type of fake or AI-generated audio or video is something that lawmakers in Washington, D.C., have been worried about — with many fearing it could be used to manipulate the outcome of the ...

  9. Text segmentation - Wikipedia

    en.wikipedia.org/wiki/Text_segmentation

    As an example, processing text used in medical records is a very different problem than processing news articles or real estate advertisements. The process of developing text segmentation tools starts with collecting a large corpus of text in an application domain. There are two general approaches: Manual analysis of text and writing custom ...