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Finally, the decoder layer converts the output from the GRU to complete sentences. Communicate smoothly and use a free online translator to translate text, words, phrases, or documents between 90+ language pairs.Use to translate your word, phrases, and texts between 100+ available languages. This website lets you translate your text and document from one language to another with ease. It is a neural network with feedback connections and the ability to retain context-based connections, thus ideal for sentence translation in a business setting. Translationly is a free online multilingual translation website developed for students, bloggers, and entrepreneurs. The neural network used here is a GRU, i.e., a Gated Recurrent Unit, which will encode the tokens from the previous step.The Tokenizer class from Keras is used to perform this operation. The dataset is tokenized, i.e., sentences are broken into individual words or phrases with components like punctuation marks and common prefixes/suffixes removed.To clarify, weights are generated and stored for language pairs like English-French, English-German, etc. The model is trained on the dataset provided, with a separate set of weights for each language pair. We create a translation tool using Natural Language Processing concepts and the TensorFlow library. Methodology: PART 1: LANGUAGE TRANSLATION In spreading new information, translation is something that can change history. It is essential to achieve effective communication between different cultures. The translation is necessary to spread new information, knowledge, and ideas worldwide. Around the world, a business might have to interact with many entities to carry out their operations in different capacities. Drag and drop to translate Word (.docx) and PowerPoint (.pptx) files with our document translator. Information flow is on a larger scale today that facilitates business operations. Select source language Translate from a ny language Type to translate. Today’s day and age, technology has brought the world closer than ever. The layer should also identify and omit offensive and inappropriate language. Keep in mind that the API should connect with other services and platforms (WhatsApp, Slack, Teams, etc.). The layer should be easily accessible via an API.
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Such a layer should account for custom business-centric keywords and provide a way to update them as required. Build a language translation layer that can sit on top of a chatbot with minor adjustments.