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  2. Naver Papago - Wikipedia

    en.wikipedia.org/wiki/Naver_Papago

    It was only available as a smartphone app but it has since launched its own website and has expanded to other languages. [1] From November 2019, Papago was changed to be available without Internet service. [2] In 2020, the image translation function was introduced, and text in photos can be translated directly. [3]

  3. Apertium - Wikipedia

    en.wikipedia.org/wiki/Apertium

    Pipeline of Apertium machine translation system. This is an overall, step-by-step view how Apertium works. The diagram displays the steps that Apertium takes to translate a source-language text (the text we want to translate) into a target-language text (the translated text). Source language text is passed into Apertium for translation.

  4. Yandex Translate - Wikipedia

    en.wikipedia.org/wiki/Yandex_Translate

    In addition to machine translation, there is also an accessible and complete English-Russian and Russian-English dictionary. [6] There is an app for devices based on the iOS software, [7] Windows Phone and Android. You can listen to the pronunciation of the translation and the original text using a text to speech converter built in.

  5. Track and trace - Wikipedia

    en.wikipedia.org/wiki/Track_and_trace

    The track and trace concept can be supported by means of reckoning and reporting of the position of vehicles and containers with the property of concern, stored, for example, in a real-time database. This approach leaves the task to compose a coherent depiction of the subsequent status reports.

  6. Sea traffic management - Wikipedia

    en.wikipedia.org/wiki/Sea_traffic_management

    Sea traffic management (STM) is a methodology, developed by the Swedish Maritime Administration [1] MonaLisa project, endorsed by the European Commission, [2] sought to define a set of systems and procedures to guide and monitor sea traffic in a manner similar to air traffic management.

  7. Comparison of machine translation applications - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_machine...

    The following table compares the number of languages which the following machine translation programs can translate between. (Moses and Moses for Mere Mortals allow you to train translation models for any language pair, though collections of translated texts (parallel corpus) need to be provided by the user.

  8. DeepL Translator - Wikipedia

    en.wikipedia.org/wiki/DeepL_Translator

    DeepL Translator is a neural machine translation service that was launched in August 2017 and is owned by Cologne-based DeepL SE. The translating system was first developed within Linguee and launched as entity DeepL .

  9. Transshipment - Wikipedia

    en.wikipedia.org/wiki/Transshipment

    Transshipment, trans-shipment or transhipment is the shipment of goods or containers to an intermediate destination, then to another destination. One possible reason for transshipment is to change the means of transport during the journey (e.g., from ship transport to road transport), known as transloading. Another reason is to combine small ...