Search Results for author: Pruthwik Mishra

Found 21 papers, 5 papers with code

HAWP: a Dataset for Hindi Arithmetic Word Problem Solving

2 code implementations LREC 2022 Harshita Sharma, Pruthwik Mishra, Dipti Sharma

Recently there has been a surge in this area of word problem solving in Chinese with the creation of large benchmark datastes.

Dataset for Aspect Detection on Mobile reviews in Hindi

no code implementations ICON 2019 Pruthwik Mishra, Ayush Joshi, Dipti Sharma

In this paper we identify all aspects related to the gadget which are present on the reviews given online on various websites.

Opinion Mining Sentence

Towards Large Language Model driven Reference-less Translation Evaluation for English and Indian Languages

no code implementations3 Apr 2024 Vandan Mujadia, Pruthwik Mishra, Arafat Ahsan, Dipti Misra Sharma

We constructed a translation evaluation task where we performed zero-shot learning, in-context example-driven learning, and fine-tuning of large language models to provide a score out of 100, where 100 represents a perfect translation and 1 represents a poor translation.

Language Modelling Large Language Model +2

Automatic Data Retrieval for Cross Lingual Summarization

no code implementations22 Dec 2023 Nikhilesh Bhatnagar, Ashok Urlana, Vandan Mujadia, Pruthwik Mishra, Dipti Misra Sharma

We analyze the data and propose methods to match articles to video descriptions that serve as document and summary pairs.


Verb Categorisation for Hindi Word Problem Solving

1 code implementation18 Dec 2023 Harshita Sharma, Pruthwik Mishra, Dipti Misra Sharma

Verbs are very important for solving word problems with addition/subtraction operations as they help us identify the set of operations required to solve the word problems.

Controllable Text Summarization: Unraveling Challenges, Approaches, and Prospects -- A Survey

1 code implementation15 Nov 2023 Ashok Urlana, Pruthwik Mishra, Tathagato Roy, Rahul Mishra

Generic text summarization approaches often fail to address the specific intent and needs of individual users.

Text Summarization

Technology Pipeline for Large Scale Cross-Lingual Dubbing of Lecture Videos into Multiple Indian Languages

no code implementations1 Nov 2022 Anusha Prakash, Arun Kumar, Ashish Seth, Bhagyashree Mukherjee, Ishika Gupta, Jom Kuriakose, Jordan Fernandes, K V Vikram, Mano Ranjith Kumar M, Metilda Sagaya Mary, Mohammad Wajahat, Mohana N, Mudit Batra, Navina K, Nihal John George, Nithya Ravi, Pruthwik Mishra, Sudhanshu Srivastava, Vasista Sai Lodagala, Vandan Mujadia, Kada Sai Venkata Vineeth, Vrunda Sukhadia, Dipti Sharma, Hema Murthy, Pushpak Bhattacharya, S Umesh, Rajeev Sangal

Cross-lingual dubbing of lecture videos requires the transcription of the original audio, correction and removal of disfluencies, domain term discovery, text-to-text translation into the target language, chunking of text using target language rhythm, text-to-speech synthesis followed by isochronous lipsyncing to the original video.

Chunking Speech Synthesis +1

Building Odia Shallow Parser

2 code implementations19 Apr 2022 Pruthwik Mishra, Dipti Misra Sharma

Shallow parsing is an essential task for many NLP applications like machine translation, summarization, sentiment analysis, aspect identification and many more.

Chunking Machine Translation +4

Linguistically Informed Hindi-English Neural Machine Translation

no code implementations LREC 2020 Vikrant Goyal, Pruthwik Mishra, Dipti Misra Sharma

Hindi-English Machine Translation is a challenging problem, owing to multiple factors including the morphological complexity and relatively free word order of Hindi, in addition to the lack of sufficient parallel training data.

LEMMA Machine Translation +5

Annotated Corpus for Sentiment Analysis in Odia Language

no code implementations LREC 2020 Gaurav Mohanty, Pruthwik Mishra, Radhika Mamidi

Given the lack of an annotated corpus of non-traditional Odia literature which serves as the standard when it comes sentiment analysis, we have created an annotated corpus of Odia sentences and made it publicly available to promote research in the field.

Sentence Sentiment Analysis

Arabic Dialect Identification for Travel and Twitter Text

no code implementations WS 2019 Pruthwik Mishra, V Mujadia, an

This paper presents the results of the experiments done as a part of MADAR Shared Task in WANLP 2019 on Arabic Fine-Grained Dialect Identification.

BIG-bench Machine Learning Dialect Identification +1

IIIT-H at IJCNLP-2017 Task 3: A Bidirectional-LSTM Approach for Review Opinion Diversification

no code implementations IJCNLP 2017 Pruthwik Mishra, D, Prathyusha a, Silpa Kanneganti, Soujanya Lanka

In this paper, we describe our approaches and results for modeling the ranking of reviews based on their usefulness score, this being the first of the three subtasks under this shared task.

Decision Making

IIIT-H at IJCNLP-2017 Task 4: Customer Feedback Analysis using Machine Learning and Neural Network Approaches

no code implementations IJCNLP 2017 D, Prathyusha a, Pruthwik Mishra, Silpa Kanneganti, Soujanya Lanka

In this paper, we describe our approach to this problem and the results on four languages, i. e. English, French, Japanese and Spanish.

Deep Neural Network based system for solving Arithmetic Word problems

no code implementations IJCNLP 2017 Purvanshi Mehta, Pruthwik Mishra, Vinayak Athavale, Manish Shrivastava, Dipti Sharma

The worldstate and the query are processed separately in two different networks and finally, the networks are merged to predict the final operation.


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