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  2. List of FM broadcast translators used as primary stations

    en.wikipedia.org/wiki/List_of_FM_broadcast...

    A broadcast translator is a low-powered (maximum of 250 watts) FM radio station that retransmits the programming of a parent station that operates on a different frequency. . Translators are not allowed to originate programming, and were originally designed to extend the coverage area of a primary analog FM stati

  3. List of ISO 639 language codes - Wikipedia

    en.wikipedia.org/wiki/List_of_ISO_639_language_codes

    ISO 639 is a standardized nomenclature used to classify languages. Each language is assigned a two-letter (set 1) and three-letter lowercase abbreviation (sets 2–5). Part 1 of the standard, ISO 639-1 defines the two-letter codes, and Part 3 (2007), ISO 639-3, defines the three-letter codes, aiming to cover all known natural languages, largely superseding the ISO 639-2 three-letter code standard.

  4. List of translators and interpreters associations - Wikipedia

    en.wikipedia.org/wiki/List_of_translators_and...

    International Association of Professional Translators and Interpreters. International Association of Conference Interpreters. International Association for Translation and Intercultural Studies. The American Association of Language Specialists. Translators Without Borders. European Society for Translation Studies. Tremédica.

  5. Pigpen cipher - Wikipedia

    en.wikipedia.org/wiki/Pigpen_cipher

    The pigpen cipher (alternatively referred to as the masonic cipher, Freemason's cipher, Rosicrucian cipher, Napoleon cipher, and tic-tac-toe cipher) [2] [3] is a geometric simple substitution cipher, which exchanges letters for symbols which are fragments of a grid. The example key shows one way the letters can be assigned to the grid.

  6. Translator (computing) - Wikipedia

    en.wikipedia.org/wiki/Translator_(computing)

    A translator or programming language processor is a computer program that converts the programming instructions written in human convenient form into machine language codes that the computers understand and process. It is a generic term that can refer to a compiler, assembler, or interpreter —anything that converts code from one computer ...

  7. Google Neural Machine Translation - Wikipedia

    en.wikipedia.org/wiki/Google_Neural_Machine...

    Google Neural Machine Translation (GNMT) was a neural machine translation (NMT) system developed by Google and introduced in November 2016 that used an artificial neural network to increase fluency and accuracy in Google Translate.

  8. Comparison of machine translation applications - Wikipedia

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

    1.1.0. Yes. 300+. Competitive performance for Chinese translation tasks; statistical machine translation. Supports phrase-based, hierarchical phrase-based, and syntax-based (string-to-tree, tree-to-string, and tree-to-tree) models for research purposes. OpenLogos. Windows, Linux. GPL or paid initiative taker. No fee required.

  9. DNA and RNA codon tables - Wikipedia

    en.wikipedia.org/wiki/DNA_and_RNA_codon_tables

    DNA and RNA codon tables. The standard RNA codon table organized in a wheel. A codon table can be used to translate a genetic code into a sequence of amino acids. [1] [2] The standard genetic code is traditionally represented as an RNA codon table, because when proteins are made in a cell by ribosomes, it is messenger RNA (mRNA) that directs ...

  10. Google Translate - Wikipedia

    en.wikipedia.org/wiki/Google_Translate

    Google Translate is a web-based free-to-user translation service developed by Google in April 2006. [11] It translates multiple forms of texts and media such as words, phrases and webpages. Originally, Google Translate was released as a statistical machine translation service. [11] The input text had to be translated into English first before ...

  11. Machine translation - Wikipedia

    en.wikipedia.org/wiki/Machine_translation

    Translation. Machine translation is use of either rule-based or probabilistic (i.e. statistical and, most recently, neural network-based) machine learning approaches to translation of text or speech from one language to another, including the contextual, idiomatic and pragmatic nuances of both languages.