Seyed Khashayar Mirbahaeddin, Aryan Aarabi, Mahdi Haghshenas, Faezeh Eslami, Saba Mardeh Katani, Leila Kia, Niloufar Bahrampour, Fariba Ghorbani, Mojtaba Mokhber Dezfoli. Korean J Transplant 2022;36:224. https://doi.org/10.4285/ATW2022.F-3603

In this work we present a morphological analysis of Bishnupriya Manipuri language, an Indo-Aryan language spoken in the north eastern India. As of now, there is no computational work available for the language. Finite state morphology is one of the successful approaches applied in a wide variety of languages over the year. Therefore we adapted the finite state approach to analyse morphology of ...

In this paper, we present a generic anaphora engine for Indian languages, which are mostly resource poor languages. We have analysed the similarit ies and variations between pronouns and their agreement with antecedents in Indian languages. The generic algorithm developed uses the morphological richness of Indian languages. The machine learn ing approach uses the features which can handle major...

Sindhi, an Indo-Aryan language with more than 75 million native speakers1 is a resourcepoor language in terms of the availability of language technology tools and resources. In this thesis, we discuss the approaches taken to develop resources and tools for a resourcepoor language with special focus on Sindhi. The major contributions of this work include raw and annotated datasets, a POS Tagger,...

Natural Language Processing is an emerging field of Machine Learning. NLP systems deal with making use of machines to translate text or speech. MT system can be classified according to approaches being followed for translation. In this paper, existing MT systems according to the regional languages of India are being analyzed. Key-Words: Machine Translation (MT), Natural Language Processing (NLP...

Unsupervised morphological analysis is the task of segmenting words into prefixes, suffixes and stems without prior knowledge of language-specific morphotactics and morpho-phonological rules. This paper introduces a simple, yet highly effective algorithm for unsupervised morphological learning for Bengali, an Indo-Aryan language that is highly inflectional in nature. When evaluated on a set of ...

Indian languages are broadly classified as Indo-Aryan or Dravidian. The basic set of phones is more or less the same, varying mostly in the phonotactics across languages. There has also been borrowing of sounds and words across languages over time due to intermixing of cultures. Since syllables are fundamental units of speech production and Indian languages are characterised by syllable-timed r...