The number seems minuscule now but the system is widely regarded as an important milestone in the progress of machine translation. The system had a pretty small vocabulary of only 250 words and it could translate only 49 hand-picked Russian sentences to English. In 1954, IBM held a first ever public demonstration of a machine translation. These early systems relied on huge bilingual dictionaries, hand-coded rules, and universal principles underlying natural language. Research work in Machine Translation (MT) started as early as 1950’s, primarily in the United States. But the concept has been around since the middle of last century. Most of us were introduced to machine translation when Google came up with the service. Introduction to Sequence-to-Sequence Prediction.Introduction to Recurrent Neural Networks.Below are a couple of articles to read more about them: This article assumes familiarity with RNN, LSTM, and Keras. We’ll also take a quick look at the history of machine translation systems with the benefit of hindsight. In this article, we will walk through the steps of building a German-to-English language translation model using Keras. What a boon Natural Language Processing has been! I had to eventually quit but I harboured a desire to start again.įast-forward to 2019, I am fortunate to be able to build a language translator for any possible pair of languages. I tried my hand at learning German (or Deutsch), back in 2014. I have always wanted to learn a language other than English. Things have, however, become so much easier with online translation services (I’m looking at you Google Translate!). There are so many little nuances that we get lost in the sea of words. But the path to bilingualism, or multilingualism, can often be a long, never-ending one. Learning a language other than our mother tongue is a huge advantage. The beauty of language transcends boundaries and cultures. If you talk to him in his own language, that goes to his heart.” – Nelson Mandela To slow down the voice rate, choose the "-" value, to speed up the voice, choose the "+" value.“If you talk to a man in a language he understands, that goes to his head. Adjust the speech rate, if needed, using the Speed menu.Choose the voice from the Language menu on the toolbar.You can type it in, paste from any application, drag-n-drop or use the virtual keyboard to enter text in the language not supported by your computer. In addition to American English, the text-to-speech reader supports Chinese, Dutch, French, German, Hindi, Indonesian, Italian, Japanese, Korean, Polish, Portuguese, Russian, Russian and Spanish voices.Besides the American English voices, the TTS service speaks British English male and female voices.American English language is also available in a female voice.Replay the audio as many times as you wish. Choose the speech rate to slow down or speed up the voice.Remember the paused position, start speaking from where you last stopped.TTS Reader converts any text into natural sounding American English male voice.Use ImTranslator speech-enable service, and get your computer talking to you! This gives the opportunity to practice your listening and speaking skills. The text can be replayed as many times as you wish. To slow down the voice rate, choose the "-" value, to speed up the voice, choose the "+" value. If the voice is too fast for you, you can adjust the voice rate by using the Speed menu. This is great for language students, who need extra practice outside of the classroom. The service gives you the opportunity to practice your listening and speaking skills or master a foreign language. This TTS reader service sounds like you are listening to a real person. ImTranslator extensions for Google Chrome, Mozilla Firefox, Opera, Microsoft Edge. The Text-to-Speech engine has been implemented into various online translation and text-to-speech services such as Text to Voice, also known as Text-to-Speech (TTS), is a method of speech synthesis that converts a written text to an audio from the text it reads.
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