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Improved English to Hindi Multimodal Neural Machine Translation
Neural machine translation attains a state-of-the-art approach in machine translation, but it requires adequate training data, which is a severe problem for low-resource language pairs translation.
Hindi-Marathi Cross Lingual Model
We have participated in WMT20 shared task of similar language translation on Hindi-Marathi pair.
Language Resource Building and English-to-Mizo Neural Machine Translation Encountering Tonal Words
Multilingual country like India has an enormous linguistic diversity and has an increasing demand towards developing language resources such that it will outreach in various natural language processing applications like machine translation.
Multimodal Neural Machine Translation for English to Hindi
Moreover, the utilization of monolingual data in the pre-training step can improve the performance of the system for low resource language translations.
English to Bengali Multimodal Neural Machine Translation using Transliteration-based Phrase Pairs Augmentation
Automatic translation of one natural language to another is a popular task of natural language processing.
Investigation of English to Hindi Multimodal Neural Machine Translation using Transliteration-based Phrase Pairs Augmentation
Machine translation translates one natural language to another, a well-defined natural language processing task.
EnKhCorp1.0: An English–Khasi Corpus
In machine translation, corpus preparation is one of the crucial tasks, particularly for lowresource pairs.
Investigation of Multilingual Neural Machine Translation for Indian Languages
In the domain of natural language processing, machine translation is a well-defined task where one natural language is automatically translated to another natural language.
Zero-Shot Neural Machine Translation: Russian-Hindi @LoResMT 2020
The availability of a parallel corpus in low resource language pairs is one of the challenging tasks in MT.
EnAsCorp1.0: English-Assamese Corpus
The corpus preparation is one of the important challenging task for the domain of machine translation especially in low resource language scenarios.
Neural Machine Translation for Tamil–Telugu Pair
The neural machine translation approach has gained popularity in machine translation because of its context analysing ability and its handling of long-term dependency issues.
English to Hindi Multi-modal Neural Machine Translation and Hindi Image Captioning
With the widespread use of Machine Trans-lation (MT) techniques, attempt to minimizecommunication gap among people from di-verse linguistic backgrounds.
Neural Machine Translation: Hindi-Nepali
Also, we have achieved BLEU score 53. 7 (Hindi to Nepali) and 49. 1 (Nepali to Hindi) in contrastive system type.
