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Domain Adaptation for Hindi-Telugu Machine Translation Using Domain Specific Back Translation
In this paper, we present a novel approachfor domain adaptation in Neural MachineTranslation which aims to improve thetranslation quality over a new domain. Adapting new domains is a highly challeng-ing task for Neural Machine Translation onlimited data, it becomes even more diffi-cult for technical domains such as Chem-istry and Artificial Intelligence due to spe-cific terminology, etc.
Automatic Technical Domain Identification
In this paper we present two Machine Learning algorithms namely Stochastic Gradient Descent and Multi Layer Perceptron to Identify the technical domain of given text as such text provides information about the specific domain.
Graph Based Automatic Domain Term Extraction
We present a Graph Based Approach to automatically extract domain specific terms from technical domains like Biochemistry, Communication, Computer Science and Law.
AdapNMT : Neural Machine Translation with Technical Domain Adaptation for Indic Languages
Adapting new domain is highly challenging task for Neural Machine Translation (NMT).
