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A review of machine transliteration, translation, evaluation metrics and datasets in Indian Languages
In today’s global scenario, frequent international and domestic interactions necessitate the application of Machine Transliteration and Translation...
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A Hybrid Machine Transliteration Model Based on Multi-source Encoder–Decoder Framework: English to Manipuri
In this paper, we propose a neural hybrid machine transliteration model that captures the characteristics of both grapheme and phoneme...
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Automatic back transliteration of Romanized Bengali (Banglish) to Bengali
Back transliteration of Romanized Bengali to Bengali is the process of converting text written in the Latin alphabet back into the Bengali script....
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Statistical and Syllabification Based Model for Nepali Machine Transliteration
Machine Transliteration is one of the important modules for the development of a correct Machine Translation (MT) system. Machine Translation is the... -
Extremely Low-resource Multilingual Neural Machine Translation for Indic Mizo Language
Machine translation requires a vast amount of parallel data in order to generate high-quality translations. Since many Indian languages lack...
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Transliterating Nom Script into Vietnamese National Script Using Multilingual Neural Machine Translation
Traditional methods for Nom transliteration have been relying on statistical machine translation. While there have been initial attempts to apply... -
The effects of the challenges in the transliteration of Persian names into English on the recall of retrieved results in the web of science
The objective of this study was to examine the effects of the challenges in the transliteration of Persian names into English on the recall of...
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Machine translation status of Indian scheduled languages: A survey
Machine Translation (MT) being an emerging area of research has currently gained significant attention from researchers primarily because of...
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Named entity translation method based on machine translation lexicon
In the context of the rapid development of computer technology, communication between various languages has become increasingly important. Among the...
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Text-Text Neural Machine Translation: A Survey
AbstractWe present a review of Neural Machine Translation (NMT), which has got much popularity in recent decades. Machine translation eased the way...
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Transliterating Latin to Amharic scripts using user-defined rules and character map**s
As social media platforms become increasingly accessible, individuals’ usage of new forms of textual communication (posts, comments, chats, etc.) on...
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Unlocking the language barrier: A Journey through Arabic machine translation
Arabic Machine Translation (MT) has gained considerable attention from the research community due to the widespread use of Arabic as one of the...
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Code Mixed Information Retrieval for Gujarati Script News Articles
Large amount of digitized content is being created and made available online in many Indian languages. Searching from such content is difficult... -
Cyberbullying detection and machine learning: a systematic literature review
The rise in research work focusing on detection of cyberbullying incidents on social media platforms particularly reflect how dire cyberbullying...
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A Survey of Orthographic Information in Machine Translation
Machine translation is one of the applications of natural language processing which has been explored in different languages. Recently researchers...
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Towards Better English to Bharti Braille Neural Machine Translation Through Improved Name Entity Translation
In this paper, the expansion of English to Bharti Braille neural machine translation system has been carried out. It is shown how a baseline Neural... -
Machine Translation Systems for Official Languages of North-Eastern India: A Review
Language is the fundamental communication tool, and translation is a key instrument for understanding knowledge in an unknown language. Machine... -
Sentiment Extraction from English-Telugu Code Mixed Tweets Using Lexicon Based and Machine Learning Approaches
Telugu is a regional language in both Andhra Pradesh and Telangana states in India. People of this region are using mostly Telugu, English, and... -
An empirical study of low-resource neural machine translation of manipuri in multilingual settings
Machine translation requires a large amount of parallel data for a production level of translation quality. This is one of the significant factors...
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Machine translation and its evaluation: a study
Machine translation (namely MT) has been one of the most popular fields in computational linguistics and Artificial Intelligence (AI). As one of the...