Machine Translation And Transliteration Involving Related, Low-Resource Lan...

Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Machine Translation And Transliteration Involving Related, Low-Resource LanguagesISBN13:9780367561994ISBN10:0367561999Author:Kunchukuttan, Anoop (Author), Bhattacharyya, Pushpak (Author)Description:Machine Translation And Transliteration Involving Related, Low-Resource Languages Discusses An Important Aspect Of Natural Language Processing That Has Received Lesser Attention: Translation And Transliteration Involving Related Languages In A Low-Resource Setting This Is A Very Relevant Real-World Scenario For People Living In Neighbouring Statesprovincescountries Who Speak Similar Languages And Need To Communicate With Each Other, But Training Data To Build Supporting Mt Systems Is Limited The Book Discusses Different Characteristics Of Related Languages With Rich Examples And Draws Connections Between Two Problems: Translation For Related Languages And Transliteration It Shows How Linguistic Similarities Can Be Utilized To Learn Mt Systems For Related Languages With Limited Data It Comprehensively Discusses The Use Of Subword-Level Models And Multilinguality To Utilize These Linguistic Similarities The Second Part Of The Book Explores Methods For Machine Transliteration Involving Related Languages Based On Multilingual And Unsupervised Approaches Through Extensive Experiments Over A Wide Variety Of Languages, The Efficacy Of These Methods Is Established Features Novel Methods For Machine Translation And Transliteration Between Related Languages, Supported With Experiments On A Wide Variety Of Languages An Overview Of Past Literature On Machine Translation For Related Languages A Case Study About Machine Translation For Related Languages Between 10 Major Languages From India, Which Is One Of The Most Linguistically Diverse Country In The World The Book Presents Important Concepts And Methods For Machine Translation Involving Related Languages In General, It Serves As A Good Reference To Nlp For Related Languages It Is Intended For Students, Researchers And Professionals Interested In Machine Translation, Translation Studies, Multilingual Computing Machine And Natural Language Processing It Can Be Used As Reference Reading For Courses In Nlp And Machine Translation Anoop Kunchukuttan Is A Senior Applied Researcher At Microsoft India His Research Spans Various Areas On Multilingual And Low-Resource Nlp Pushpak Bhattacharyya Is A Professor At The Department Of Computer Science, Iit Bombay His Research Areas Are Natural Language Processing, Machine Learning And Ai (Nlp-Ml-Ai) Prof Bhattacharyya Has Published More Than 350 Research Papers In Various Areas Of Nlp Binding:Hardcover, HardcoverPublisher:CRC PressPublication Date:2021-08-13Weight:0 lbsDimensions:Number of Pages:208Language:English

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