قسم الرياضيات و الإعلام الإليwww.univ-soukahras.dz/ar/dept/mi |
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Given the following data: "we will present an organized picture on ensemble methods" => English "هواوي تطلق هاتفها الجديد "ميت إكس" القابل للطي في الصين" => Arabic "کناره گیری بنیانگذاران گوگل از مدیریت شرکت آلفابت" => Persian --------------------- "Facebook chatbot offers to answer tricky questions" => ???? Explain the procedure and algorithm to automatically detect the language |
نشر على 20:15, الأربعاء 4 ديسمبر 2019 By Imed BOUCHRIKA |
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well , we need a data that contain all the languages and every language with there words (like a dictionary), |
نشر على 22:25, الأربعاء 4 ديسمبر 2019 by abd raouf ben tlidjane (9 points) |
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We use those sentences to make our training data . wich contain the keywords for every language Determine the keywords for test or the new sentence Then we calculate the similarity using distance or probability By comparing the new sentence keywords with the old one |
نشر على 01:35, الخميس 5 ديسمبر 2019 by amira bouamrane (5 points) |
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Natural Language Processing |
نشر على 22:09, السبت 7 ديسمبر 2019 by khalil souaiaia (13 points) |
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on construit une base de connaissance non rededante de chaque langue apartir des phrases d'apprentissage. pour une nouvelle phrase on calcule la distance de chaque mot de la nouvelle phrase avec les mots d'apprentisage. la langue en objet est c'elle qui correspond au max des distances minimales |
نشر على 19:49, الأحد 8 ديسمبر 2019 by wahiba han (4 points) |
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sallem alaykom, first , a language detection algorithm is pretty self-explanatory: we'll take text as input and decide which human language the text is written in. We'll be using Algorithmia's language identification algorithm , to give it a try. secondlly , Language classifications rely upon using an primer of specialized text called a 'corpus'. There is one corpus for each language the algorithm can identify. Speaking in summary, input text is compared to each corpus and pattern matching is used to identify the strongest correlation to a corpus. Because there are so many potential words to profile in every language, computer scientists use algorithms called 'profiling algorithms' to create a subset of words for each language, to be used for the corpus. The most common strategy is to choose very common words. In English, we might choose words like "the", "and", "of" and "or". In this example, we will use Node.js to make our request. Keep in mind you may perform any Algorithmia API request with any tools at your disposal. See "Appendix".A to learn how to configure your machine for development with the Algorithmia API in Node.js.
Note that the API key should be modified to match your configuration. This will return the string |
نشر على 17:28, الخميس 12 ديسمبر 2019 by noussaiba ledjemel (23 points) |
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The process of language identification can be represented as a system .this dataflow was used in for text categorization . However, instead of languages, the authors used categories and models were called profiles. Accordingly, the first stage is the modelling stage, where language models are generated. Such models consist of features, representing specific characteristics of language. These features are words or |
نشر على 21:56, الجمعة 3 جانفي 2020 by sihem djélamda (9 points) |