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Language Recognizer

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Language Recognizer

In the global Internet environment processing of information in multiple languages has a great importance. Intellexer Language Recognizer identifies the language and character encoding of incoming documents. It supports more than 30 languages, covering major European and Asian languages. Intellexer Language Recognizer can be successfully used: - as a pre-filtering step to improve the quality of input text data (because of most natural processing algorithms deal with monolingual texts and inclusion of other languages can decrease the performance of document management systems); - in mining bilingual texts for machine translation from online resources; - for retrieval, grouping and understanding relevant information (user’s texts, emails and etc.) in multilingual environment.Language Recognizer
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Posted by
Rupali Jagtap

{"id"=>1487, "level_no"=>1, "level_title"=>"New Section", "notes"=>"<p>Intellexer Language Recognizer accurately determines not only the language of the whole document, but also the language of each text fragment.</p>\n<p>For evaluation experiments, we&rsquo;ve created a dataset, which contains more than 1300000 documents in different languages (English, German, French, Spanish, Japanese, Chinese, etc.). In this collection we've achieved language identification accuracy from 95% to 99% (typical competitors&rsquo; results: 86 - 96%).The average processing speed was over 8000 KB/s.</p>", "challenge_id"=>672, "created_at"=>Wed, 01 Sep 2021 10:35:30.375317000 UTC +00:00, "updated_at"=>Wed, 01 Sep 2021 10:35:30.375317000 UTC +00:00}

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Description

Intellexer Language Recognizer accurately determines not only the language of the whole document, but also the language of each text fragment.

For evaluation experiments, we’ve created a dataset, which contains more than 1300000 documents in different languages (English, German, French, Spanish, Japanese, Chinese, etc.). In this collection we've achieved language identification accuracy from 95% to 99% (typical competitors’ results: 86 - 96%).The average processing speed was over 8000 KB/s.

Genetics and Molecular Biology consider contributions that present the results of original research in genetics, evolution, and related scientific disciplines. Manuscripts presenting methods and applications only, without an analysis of genetic data
Artificial intelligence is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals, which involves consciousness and emotionality. The distinction between the former and the latter categories is often revealed by the acronym chosen

Description

In the global Internet environment processing of information in multiple languages has a great importance. Intellexer Language Recognizer identifies the language and character encoding of incoming documents. It supports more than 30 languages, covering major European and Asian languages.
Artificial General Intelligence (AGI) is also commonly known as Deep AI or Strong AI. It is a conceptual idea where AI can mimic human intelligence. AGI has the capability to learn from its iterative tasks and assist in problem-solving. In fact, Deep AI has the capability to think and understand, similar to that of humans. But, as of now, researchers have not completely achieved strong AI. In order to successfully create Strong AI, machines need to be conscious while offering them a plethora of cognitive abilities.

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