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@article{149369,
        author = {samruddhi waghmare and Ankita Sonawane and Mamta Wagh},
        title = {hindi to english translation using NLTK},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {6},
        number = {12},
        pages = {119-121},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=149369},
        abstract = {Multilingual Machine Translation is a computerized system that is designed to translate source text from various natural languages into target text of another natural languages. Due to increased need of global communication, multilingual machine translation is the propel for researchers. With the advancement in technology, now we have computerized systems that can replace the human experts in particular domains. One such popularly adopted domain by researchers is artificial intelligence (AI) and NLP .Natural   language   processing(NLP)  is a field of  computer science concerned with the interaction between  computer  and human (natural) languages. It is becoming one of the most active area in the interaction between human and computer. These  includes text  system  that  integrate  text and natural  language. Machine translation (MT) system is available mostly for a specific language pair. Recently many MT systems are being designed for bilingual pairs. And the research is heading towards developing MT systems that are capable of handling more than two language pairs i.e. multilingual. MT systems still has so many issues to deal with. Recently developed multilingual systems are laden with the enormous size corpus .In this proposed system we are analyzing machine translation system using NLTK.},
        keywords = {Meachine translation ,NLP(Natural Language Processing) ,NLTK(Natural Language Tool Kit), AI(Aritifical Intelligence),Text to Speech.},
        month = {},
        }