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Found 11 papers, 4 papers with code
Experiences of Adapting Multimodal Machine Translation Techniques for Hindi
In this paper, we evaluate the existing methods on Hindi and report our findings.
A Deep Transfer Learning Method for Cross-Lingual Natural Language Inference
We perform experiments on English-Hindi language pairs in the cross-lingual setting to find out that our novel loss formulation could enhance the performance of the baseline model by up to 2%.
Low Resource Chat Translation: A Benchmark for Hindi–English Language Pair
Chatbots are used in various sectors such as banking, healthcare, e-commerce, etc, and are mainly available in English.
Universal Adversarial Framework to Improve Adversarial Robustness for Diabetic Retinopathy Detection
Diabetic Retinopathy (DR) is a prevalent illness associated with Diabetes which, if left untreated, can result in irreversible blindness.
Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific Rewards
Translating questions using Neural Machine Translation (NMT) poses more challenges, especially in noisy environments, where the grammatical correctness of the questions is not monitored.
Impact of Visual Context on Noisy Multimodal NMT: An Empirical Study for English to Indian Languages
Interestingly, the effect of visual context varies with source text noise: no visual context works best for non-noisy translations, cropped image features are optimal for low noise, and full image features work better in high-noise scenarios.
A Case Study on Context Encoding in Multi-Encoder based Document-Level Neural Machine Translation
In this paper, we further explore this idea by evaluating with context-aware pronoun translation test set by training multi-encoder models trained on three different context settings viz, previous two sentences, random two sentences, and a mix of both as context.
IITP at WAT 2021: System description for English-Hindi Multimodal Translation Task
Neural Machine Translation (NMT) is a predominant machine translation technology nowadays because of its end-to-end trainable flexibility.
IITP at AILA 2019: System Report for Artificial Intelligence for Legal Assistance Shared Task
The outcomes of this track would be helpful for the automation of the working process of the Indian Judiciary System.
IITP@COLIEE 2019: Legal Information Retrieval using BM25 and BERT
We make use of different Information Retrieval(IR) and deep learning based approaches to tackle these problems.
IITP at MEDIQA 2019: Systems Report for Natural Language Inference, Question Entailment and Question Answering
We submitted five system results in each of the NLI and RQE tasks, and four system results for the QA task.
