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  2. Garbage in, garbage out - Wikipedia

    en.wikipedia.org/wiki/Garbage_in,_garbage_out

    In computer science, garbage in, garbage out (GIGO) is the concept that flawed, biased or poor quality ("garbage") information or input produces a result or output of similar ("garbage") quality. The adage points to the need to improve data quality in, for example, programming. Rubbish in, rubbish out (RIRO) is an alternate wording. [1] [2] [3]

  3. Comparison of different machine translation approaches

    en.wikipedia.org/wiki/Comparison_of_different...

    A DMT system is designed for a specific source and target language pair and the translation unit of which is usually a word. Translation is then performed on representations of the source sentence structure and meaning respectively through syntactic and semantic transfer approaches. A transfer-based machine translation system involves three ...

  4. Machine translation software usability - Wikipedia

    en.wikipedia.org/wiki/Machine_translation...

    This raises the issue of trustworthiness when relying on a machine translation system embedded in a Life-critical system in which the translation system has input to a Safety Critical Decision Making process. Conjointly it raises the issue of whether in a given use the software of the machine translation system is safe from hackers.

  5. List of writing systems - Wikipedia

    en.wikipedia.org/wiki/List_of_writing_systems

    Writing systems are used to record human language, and may be classified according to certain common features.. The usual name of the script is given first; the name of the languages in which the script is written follows (in brackets), particularly in the case where the language name differs from the script name.

  6. Rule-based machine translation - Wikipedia

    en.wikipedia.org/wiki/Rule-based_machine_translation

    Since the syntax does not change, a traditional rule-based machine translation system may not be able to differentiate between the meanings. With a large enough ontology as a source of knowledge however, the possible interpretations of ambiguous words in a specific context can be reduced.

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  8. Example-based machine translation - Wikipedia

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

    Example-based machine translation (EBMT) is a method of machine translation often characterized by its use of a bilingual corpus with parallel texts as its main knowledge base at run-time. It is essentially a translation by analogy and can be viewed as an implementation of a case-based reasoning approach to machine learning .

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