Telugu is a Dravidian language with nearly 85 million first language speakers. In this paper we report a realization engine for Telugu that automates the task of building grammatically well-formed Telugu sentences from an input specification consisting of lexicalized grammatical constituents and associated features. Our realization engine adapts the design approach of SimpleNLG family of surfac...

OLAC was founded in 2000 for creating online databases of language resources. This paper intends to review the bottom-up distributed character of the project and proposes an extension of the architecture for Dravidian languages. An ontological structure is considered for effective natural language processing (NLP) and its advantages over statistical methods are reviewed

The paper reviews the hurdles while trying to implement the OLAC extension for Dravidian / Indian languages. The paper further explores the possibilities which could minimise or solve these problems. In this context, the Chinese system of text processing and the anusaaraka system are scrutinised.

Abstract It is challenging to obtain extensive annotated data for under-resourced languages, so we investigate whether it beneficial train models using multi-task learning. Sentiment analysis and offensive language identification share similar discourse properties. The selection of these tasks motivated by the lack large labelled user-generated code-mixed datasets. This paper works with YouTube...

Abstract
 Women's welfare refers to their happiness and general happiness. Obstacles women's advancement include untouchability, child marriage, caste oppression. Leaders like Nathuram Jyotiba Poole, Eeswara Chandra Vidyasagar, Mahatma Gandhi, others rescued the female community. The DMK government enacted laws for advancement, implemented programs, defended education employment rightsThe ...

Generally, The NLP (Tamil) applications are programming with different kinds of input data. Inputs classified into Text, Image, sound waves etc., Tamil Text based applications are creating under the word formation techniques. These words analysis and generation are activating in these ways, i) Untagging & Tagging and ii) Word-level and Character-level accuracies. This method is processing based...

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...

Siddha system is the ancient Dravidian system of medicine presently practiced predominantly in South India. In practice, generally the plants used are often in the compound form to which either herbs, metals, minerals and animals products are added. This paper attempts to describe the need for standardizing the drugs since the efficacy of medicines depends on their genuineness, indicating the m...