English Malayalam Parallel Corpus

About Dataset

This dataset is a collection of parallel text in English and Malayalam, which can be used for various applications such as machine translation, language learning, natural language processing, and language preservation. The dataset contains a sample of text from various domains, including transportation and travel. The primary objective of this dataset is to facilitate the development of machine translation models for the Malayalam language and contribute to the advancement of NLP research and applications, particularly in the context of Indian languages. This dataset was identified and facilitated for onboarding as part of the Dataset Onboarding Support Team (DOST) initiative led by by CivicDataLab (CDL), partnering with the Gates Foundation in collaboration with BHASHINI. CivicDataLab provided technical support for dataset discovery, validation, metadata preparation and onboarding facilitation. All dataset ownership and intellectual property rights remain with the original author(s).