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Found 9 papers, 5 papers with code
CoMeT: Towards Code-Mixed Translation Using Parallel Monolingual Sentences
Code-mixed languages are very popular in multilingual societies around the world, yet the resources lag behind to enable robust systems on such languages.
SyMCoM - Syntactic Measure of Code Mixing A Study Of English-Hindi Code-Mixing
Code mixing is the linguistic phenomenon where bilingual speakers tend to switch between two or more languages in conversations.
Socratic Reasoning Improves Positive Text Rewriting
In this work, we address this gap by augmenting open-source datasets for positive text rewriting with synthetically-generated Socratic rationales using a novel framework called \textsc{SocraticReframe}.
InSaAF: Incorporating Safety through Accuracy and Fairness | Are LLMs ready for the Indian Legal Domain?
Task performance and fairness scores of LLaMA and LLaMA--2 models indicate that the proposed $LSS_{\beta}$ metric can effectively determine the readiness of a model for safe usage in the legal sector.
X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents
We create a new multilingual benchmark, X-RiSAWOZ, by translating the Chinese RiSAWOZ to 4 languages: English, French, Hindi, Korean; and a code-mixed English-Hindi language.
Are Models Trained on Indian Legal Data Fair?
We highlight the propagation of learnt algorithmic biases in the bail prediction task for models trained on Hindi legal documents.
PreCogIIITH at HinglishEval : Leveraging Code-Mixing Metrics & Language Model Embeddings To Estimate Code-Mix Quality
Code-Mixing is a phenomenon of mixing two or more languages in a speech event and is prevalent in multilingual societies.
HLDC: Hindi Legal Documents Corpus
Further, as a use-case for the corpus, we introduce the task of bail prediction.
Battling Hateful Content in Indic Languages HASOC '21
We adopt a multilingual transformer based approach and describe our architecture for all 6 subtasks as part of the challenge.
