DOI: 10.5176/2251-3566_L318.306
Authors: Anil Thakur
Abstract: Natural language processing (NLP) tools have also been found useful in language learning and teaching. In particular, machine translation (MT) systems and other machine assisted translation tools have proved quite useful in foreign and second language learning and teaching. In recent decades, researchers from both MT and language pedagogy (LP) have started exploring the possibilities of academically integrating various NLP and LP tools and resources [1, 3, 4, 6, 7, 9, 10]. It has been well known that resources, technology as well as methodology that go into building a machine translation system have significant commonalities with that of language learning and teaching (2). Machine translation software, tools and resources have long been used as a support tool to enhance learning and ease teaching at various levels of language pedagogy. In this paper, I present an outline of the direction in which research in both NLP and LP can integrate to benefit each other. I take a Hindi-English MT system to show how the task is academically promising and has potential to also address certain humanistic concerns that the present day humanity faces across the world.
Keywords: NLP-based language pedagogy, Machine Translation, Hindi-English
Updating...