Same-language machine translation for local flavours/flavors

Contextual Text Embeddings for Twi

Transformer-based language models have been changing the modern Natural Language Processing (NLP) landscape for high-resource languages such as English, Chinese, Russian, etc. However, this technology does not yet exist …

Taste of Two Different Flavours: Which Manipuri Script works better for English-Manipuri Language pair SMT Systems?

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. Country like India where multiple languages exists, machine translation…

Speeding Up Neural Machine Translation Decoding by Shrinking Run-time Vocabulary

We speed up Neural Machine Translation (NMT) decoding by shrinking run-time target vocabulary. We experiment with two shrinking approaches: Locality Sensitive Hashing (LSH) and word alignments. Using the latter method, w…

Assamese-English Bilingual Machine Translation

Machine translation is the process of translating text from one language to another. In this paper, Statistical Machine Translation is done on Assamese and English language by taking their respective parallel corpus. A s…