This repository contains the code, data, and models of the paper titled "CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1,500+ Language Pairs" published in Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL’23), July 9-14, 2023.

CogNet: a large-scale, high-quality cognate database for 338 languages, 1.07M words, and 8.1 million cognates

Improving Indonesian text classification using multilingual language model

Implementation of ICLR 2022 paper "Enhancing Cross-lingual Transfer by Manifold Mixup".

Code for "Preference Tuning For Toxicity Mitigation Generalizes Across Languages." Paper accepted at Findings of EMNLP 2024

Official implementation of "CONCRETE: Improving Cross-lingual Fact Checking with Cross-lingual Retrieval" (COLING'22)

[EMNLP 2022] Discovering Language-neutral Sub-networks in Multilingual Language Models.

Cross Lingual Language models for making search engines for Holy Quran and Sahih Hadiths

Cascading Adaptors to Leverage English Data to Improve Performance ofQuestion Answering for Low-Resource Languages

In this work we applied multilingual zero-shot transfer concept for the task of toxic comments detection. This concept allows a model trained only on a single-language dataset to work in arbitrary language, even low-resource.

Code for importance-weighted domain alignment, and the paper “Cross-Lingual Transfer with Class-Weighted Language-Invariant Representations”.

UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages (ACL 2024)

Breaking the Script Barrier in Multilingual Pre-Trained Language Models with Transliteration-Based Post-Training Alignment

This repository contains the code for the experiments related to higher-level semantic tasks and related to the meta-learning from: "From Zero to Hero: On the Limitations of Zero Shot Cross-Lingual Transfer"

Author's implementation of the paper https://www.aclweb.org/anthology/2021.ltedi-1.30/

Improving Quality of Multilingual Question Answering and Cross-Lingual Transfer using Multitask Learning, Knowledge Distillation, and Data Augmentation

This is a project proposal to implement Yan et al.'s (2020) mBERT-Unaligned for cross-lingual RDs with Japanese, German and Italian untranslatable terms

This repository contains the implementation of cross-lingual transfer learning experiments for Named Entity Recognition (NER) between Hindi and Nepali, utilizing pre-trained multilingual BERT models to explore the effectiveness of linguistic knowledge transfer across these languages.