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Top results related to machine translation in ai
- Machine Translation in AI
  Machine translation of languages refers to the use of artificial intelligence (AI) and machine learning algorithms to automatically translate text or speech from one language to another. This technology has been developed over the years and has become increasingly sophisticated, with the ability to produce accurate translations across a wide range of languages. The article explores more about machine translation, why we need it and its applications.
  Table of Content
  What is Machine Translation?
  What are the key approaches in Machine Translation?
  Why we need Machine Translation in NLP?
  What is the application of Machine Translation?
  Can Human Translators be replaced by AI?
  What is Machine Translation?
  Machine translation is a sub-field of computational linguistics that focuses on developing systems capable of automatically translating text or speech from one language to another. In Natural Language Processing (NLP), the goal of machine translation is to produce translations that are not only grammatically correct but also...
  Check all answers on Geeksforgeeks
  1/5
- Machine Translation with Transformer in Python
  Machine translation converts a sequence of text from one language to another. Popular online translation services like Google Translate, Microsoft Translator, and others use machine translation techniques to provide users with quick and accessible translations between a wide range of languages. Transformer models are the most recent and widely adopted approach to machine translation. They are based on Seq2Seq architecture and capture context to learn the mappings between source and target languages. In this article, we will be using a model for hugging faces and fine-tuning it to convert our text from English to Hindi.
  What is a Transformer?
  The transformer architecture can process all the parts of input in parallel through its self-attention mechanism without the need to sequentially process them. The transformer architecture has two parts: an encoder and a decoder. If we want to build an application to convert a sentence from one language to another (English to Hindi), we need to use both the encoder and decoder blocks. This was the original problem (known as a sequence-to-sequence translation) for which the transformer architecture was developed.
  However, depending on the type of task, we...
  Check all answers on Geeksforgeeks
  2/5
- Translation in JavaScript like gettext in PHP?
  Top Answer
  Answered Mar 08, 2010 · 23 votes
  The easiest way is having a PHP file write the translations from gettext into JavaScript variables.
  js_lang.php:
  word_hello = "<?php echo gettext("hello"); ?>"word_world = "<?php echo gettext("world"); ?>"word_how_are_you = "<?php echo gettext("how_are_you"); ?>"
  
  and then include it:
  <script type="text/javascript" src="js_lang.php"></script>-
  
  I would also recommend this method in conjunction with the translation plugins S.Mark mentions (which are very interesting!).
  You can define the dictionary in the current page's header, too, without including an external file, but that way, you would have to look up and send the data on every page load - quite unnecessary, as a dictionary tends to change very rarely.
  Other Answers
  Answered Oct 09, 2020 · 16 votes
  I generally export the translations in a JavaScript structure:
  var app = {};var app.translations = { en: { hello: "Hello, World!", bye: "Goodbye!" }, nl: { hello: "Hallo, Wereld!", bye: "Tot ziens!" }};
  
  The current language of the page texts can be defined using: <html xml:lang="en" lang="nl">
  This can be read in JavaScript:
  var currentLanguage = document.documentElement.lang || "en";app.lang = app.translations[ currentLanguage ] || app.translations.en;-
  
  And then you can write code like this:
  alert( app.lang.hello );-
  
  Optionally, a i18n() or gettext() function can bring some intelligence, to return the default text if the key does not exist). For example:
  function gettext( key ){ return app.lang[ key ] || app.translations.en[ key ] || "{translation key not found: " + key + "}";}
  
  Other Answers
  Answered Mar 08, 2010 · 8 votes
  Try, jQuery i18n or jQuery localisation
  An example for jQuery i18n, and of course you need to generate JSON based dictionary from language file from php
  var my_dictionary = { "some text" : "a translation", "some more text" : "another translation"}$.i18n.setDictionary(my_dictionary);$('div#example').text($.i18n._('some text'));
  
  Check all answers on Stack Overflow
  3/5
- translation in JS?
  Top Answer
  Answered Aug 12, 2014 · 23 votes
  Plese take a look at jQuery-i18n translation plugin
  var my_dictionary = { "some text" : "a translation", "some more text" : "another translation"}$.i18n.load(my_dictionary);$('div#example').text($.i18n._('some text'));
  
  And jQuery localisation
  $.localise('js/greeting');$('#greeting').val(greeting);$('#languages').val($.localise.defaultLanguage);$('#changeLocale').change(function() { var newLang = $(this).val(); $.localise('js/greeting', {language: newLang, loadBase: true}); $('#greeting').val(greeting); $('#languages').val(newLang);});
  
  Or, If you really want more translation than looking up data, try google translate api
  google.language.translate("Hello world", "en", "es", function(result) { if (!result.error) { var container = document.getElementById("translation"); container.innerHTML = result.translation; }});
  
  Check all answers on Stack Overflow
  4/5
- Translation in discord.py bot doesn't work
  Top Answer
  Answered Mar 24, 2021 · 0 votes
  I had a same problem. Installing alpha version of google trans helped, so try doing this:
  pip install googletrans==3.1.0a0-
  
  And:
  from googletrans import Translator@client.command()async def translate(ctx, lang, *, thing): translator = Translator() translation = translator.translate(thing, dest=lang) await ctx.send(translation.text)
  
  Check all answers on Stack Overflow
  5/5
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www.geeksforgeeks.org › machine-translation-ofMachine Translation in AI - GeeksforGeeks

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Jan 11, 2024 · Machine Translation in AI - GeeksforGeeks. Last Updated : 11 Jan, 2024. Machine translation of languages refers to the use of artificial intelligence (AI) and machine learning algorithms to automatically translate text or speech from one language to another.
aws.amazon.com › what-is › machine-translationWhat is Machine Translation? - Neural Machine Translation ...

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Machine translation is the process of using artificial intelligence to automatically translate text from one language to another without human involvement. Modern machine translation goes beyond simple word-to-word translation to communicate the full meaning of the original language text in the target language.
People also ask
What is machine translation of languages?
Machine translation of languages refers to the use of artificial intelligence (AI) and machine learning algorithms to automatically translate text or speech from one language to another.

Machine Translation in AI - GeeksforGeeks

www.geeksforgeeks.org/machine-translation-of-languages-in-artificial-intelligence/
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What is an example of machine translation?
An example of machine translation is Google Translate, which uses algorithms to automatically translate text between different languages. It aims to produce accurate and contextually appropriate translations from the source language to the target language. 2. What is machine translation vs neural machine translation?

Machine Translation in AI - GeeksforGeeks

www.geeksforgeeks.org/machine-translation-of-languages-in-artificial-intelligence/
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What are the different approaches to machine translation?
In machine translation, the original text or language is called source language, and the language you want to translate it to is called the target language. Machine translation works by following a basic two-step process:

What is Machine Translation? - Neural Machine Translation Explaine…

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How does machine translation work?
In machine translation, the original text is decoded and then encoded into the target language through two step process that involves various approaches employed by language translation technology to facilitate the translation mechanism. 1. Rule-Based Machine Translation

Machine Translation in AI - GeeksforGeeks

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builtin.com › machine-translationMachine Translation: How It Works and Tools to Choose From

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What Is Machine Translation? Machine translation uses AI to automatically translate text and speech from one language to another. It relies on natural language processing and deep learning to understand the meaning of a given text and translate it into different languages without the need for human translators. Food for Thought.
- Author: Ellen Glover
- Occupation: Senior Staff Reporter
research.google › blog › zero-shot-translation-with-googlesZero-Shot Translation with Google’s Multilingual Neural ...

research.google › blog › zero-shot-translation-with-googles
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In September, we announced that Google Translate is switching to a new system called Google Neural Machine Translation (GNMT), an end-to-end learning framework that learns from millions of examples, and provided significant improvements in translation quality. However, while switching to GNMT improved the quality for the languages we tested it ...
en.wikipedia.org › wiki › Neural_machine_translationNeural machine translation - Wikipedia

en.wikipedia.org › wiki › Neural_machine_translation
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Neural machine translation ( NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.
en.wikipedia.org › wiki › Machine_translationMachine translation - Wikipedia

en.wikipedia.org › wiki › Machine_translation
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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.
www.tensorflow.org › text › tutorialsNeural machine translation with a Transformer and Keras

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Mar 23, 2024 · Figure 1: Applying the Transformer to machine translation. Source: Google AI Blog. That's a lot to digest, the goal of this tutorial is to break it down into easy to understand parts. In this tutorial you will: Prepare the data. Implement necessary components: Positional embeddings. Attention layers. The encoder and decoder.

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www.geeksforgeeks.org › machine-translation-ofMachine Translation in AI - GeeksforGeeks

aws.amazon.com › what-is › machine-translationWhat is Machine Translation? - Neural Machine Translation ...

Machine Translation in AI - GeeksforGeeks

Machine Translation in AI - GeeksforGeeks

What is Machine Translation? - Neural Machine Translation Explaine…

Machine Translation in AI - GeeksforGeeks

builtin.com › machine-translationMachine Translation: How It Works and Tools to Choose From

research.google › blog › zero-shot-translation-with-googlesZero-Shot Translation with Google’s Multilingual Neural ...

en.wikipedia.org › wiki › Neural_machine_translationNeural machine translation - Wikipedia

en.wikipedia.org › wiki › Machine_translationMachine translation - Wikipedia

www.tensorflow.org › text › tutorialsNeural machine translation with a Transformer and Keras

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