EnKhCorp1.0: An English–Khasi Corpus
In machine translation, corpus preparation is one of the crucial tasks, particularly for lowresource pairs. In multilingual countries like India, machine translation plays a vital role in communication among people with various linguistic backgrounds. There are available online automatic translation systems by Google and Microsoft which include various languages which lack support for the Khasi language, which can hence be considered lowresource. This paper overviews the development of EnKhCorp1.0, a corpus for English–Khasi pair, and implemented baseline systems for EnglishtoKhasi and KhasitoEnglish translation based on the neural machine translation approach.
Code (0)
등록된 구현이 없습니다.
Tasks
Machine TranslationTranslationSimilar Papers 제목 키워드 기반
SPRING Lab IITM's submission to Low Resource Indic Language Translation Shared Task
We develop a robust translation model for four low-resource Indic languages: Khasi, Mizo, Manipuri, and Assamese. Our approach includes a comprehensive pipeline from data collection and preprocessing to training and eval…
Language ModellingTranslationNLP Tools for Khasi, a low resource language
Khasi is an Austro Asiatic language spoken by one of the tribes in Meghalaya, and parts of Assam and Bangladesh. The fact that some NLP tools for Khasi are now available online for testing purposes is the culmination of …
POSBhashaVerse : Translation Ecosystem for Indian Subcontinent Languages
This paper focuses on developing translation models and related applications for 36 Indian languages, including Assamese, Awadhi, Bengali, Bhojpuri, Braj, Bodo, Dogri, English, Konkani, Gondi, Gujarati, Hindi, Hinglish, …
Automatic Post-EditingData AugmentationMachine TranslationTranslationMachine Translation Advancements of Low-Resource Indian Languages by Transfer Learning
This paper introduces the submission by Huawei Translation Center (HW-TSC) to the WMT24 Indian Languages Machine Translation (MT) Shared Task. To develop a reliable machine translation system for low-resource Indian lang…
Machine TranslationTransfer LearningTranslationStatistical Machine Translation Systems of English-Pnar Language Pair : Some Insights of the Emperical Study
Pnar, an Austroasiatic language spoken by approximately 0.4 million people in the Jaintia Hills of Meghalaya, lacks the digital corpora and natural language processing (NLP) resources. This paper presents the first machi…
Machine Translation