no code implementations • ICON 2021 • Shreyas Pimpalgaonkar, Dhanashree Lele, Malhar Kulkarni, Pushpak Bhattacharyya
Proverbs are unique linguistic expressions used by humans in the process of communication.
no code implementations • GWC 2018 • Hanumant Redkar, Rajita Shukla, Sandhya Singh, Jaya Saraswati, Laxmi Kashyap, Diptesh Kanojia, Preethi Jyothi, Malhar Kulkarni, Pushpak Bhattacharyya
This aid is based on modern pedagogical axioms and is aligned to the learning objectives of the syllabi of the school education in India.
no code implementations • GWC 2016 • Tanuja Ajotikar, Malhar Kulkarni
The wordnet contains part-of-speech categories such as noun, verb, adjective and adverb.
no code implementations • ICON 2020 • Anupriya Aggarwal, Malhar Kulkarni
In other words, multivalued function is a way to represent optional output forms which are expressed in Pāṇinian grammar with the help of 3 terms i. e. vā, vibhaṣā, and anyatarasyam.
no code implementations • GWC 2016 • Hanumant Redkar, Nilesh Joshi, Sandhya Singh, Irawati Kulkarni, Malhar Kulkarni, Pushpak Bhattacharyya
The meaning of this word is derived from each of the individual words of the compound.
no code implementations • 5 Jan 2022 • Diptesh Kanojia, Malhar Kulkarni, Sayali Ghodekar, Eivind Kahrs, Pushpak Bhattacharyya
We use the text of the K\=a\'sik\=avrtti (KV) as a sample text, and with the help of philologists, we digitize the commentaries available to us.
no code implementations • 5 Jan 2022 • Swaraja Salaskar, Diptesh Kanojia, Malhar Kulkarni
Our paper attempts to show the implication of the creation of our tool in this area.
no code implementations • GWC 2019 • Diptesh Kanojia, Kevin Patel, Pushpak Bhattacharyya, Malhar Kulkarni, Gholamreza Haffari
Automatic Cognate Detection (ACD) is a challenging task which has been utilized to help NLP applications like Machine Translation, Information Retrieval and Computational Phylogenetics.
1 code implementation • LREC 2020 • Diptesh Kanojia, Pushpak Bhattacharyya, Malhar Kulkarni, Gholamreza Haffari
In this paper, we describe the creation of two cognate datasets for twelve Indian languages, namely Sanskrit, Hindi, Assamese, Oriya, Kannada, Gujarati, Tamil, Telugu, Punjabi, Bengali, Marathi, and Malayalam.
1 code implementation • COLING 2020 • Diptesh Kanojia, Raj Dabre, Shubham Dewangan, Pushpak Bhattacharyya, Gholamreza Haffari, Malhar Kulkarni
We, then, evaluate the impact of our cognate detection mechanism on neural machine translation (NMT), as a downstream task.
Cross-Lingual Information Retrieval Cross-Lingual Word Embeddings +5
1 code implementation • EACL 2021 • Diptesh Kanojia, Prashant Sharma, Sayali Ghodekar, Pushpak Bhattacharyya, Gholamreza Haffari, Malhar Kulkarni
We collect gaze behaviour data for a small sample of cognates and show that extracted cognitive features help the task of cognate detection.
no code implementations • LREC 2020 • Gajanan Rane, Nilesh Joshi, Geetanjali Rane, Hanumant Redkar, Malhar Kulkarni, Pushpak Bhattacharyya
Part of Speech (POS) annotation is a significant challenge in natural language processing.
no code implementations • 10 Oct 2018 • Jayashree Gajjam, Diptesh Kanojia, Malhar Kulkarni
The notions of a sentence and a word as a meaningful linguistic unit in the language have been a subject matter for the discussion in many works that followed later on.
no code implementations • WS 2017 • Hanumant Redkar, S. Singh, hya, Meenakshi Somasundaram, Dhara Gorasia, Malhar Kulkarni, Pushpak Bhattacharyya
In today{'}s technology driven digital era, education domain is undergoing a transformation from traditional approaches to more learner controlled and flexible methods of learning.