Multilingual Automatic Speech Recognition with word-level timestamps and confidence

A Laravel package for multilingual models

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

PaddleOCR inference in PyTorch. Converted from [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)

Official PyTorch implementation of LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding (ACL 2022)

Indic-BERT-v1: BERT-based Multilingual Model for 11 Indic Languages and Indian-English. For latest Indic-BERT v2, check: https://github.com/AI4Bharat/IndicBERT

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla" accpeted in Findings of the Annual Conference of the North American Chap…

Multilingual Generative Pretrained Model

Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages -- ACL 2023

WangChanGLM 🐘 - The Multilingual Instruction-Following Model

[ACL 2024] LangBridge: Multilingual Reasoning Without Multilingual Supervision

🔱 Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLMs

AI Assistant for Building Reliable, High-performing and Fair Multilingual NLP Systems

Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis

Do Multilingual Language Models Think Better in English?

[LREC-COLING'24] HumanEval-XL: A Multilingual Code Generation Benchmark for Cross-lingual Natural Language Generalization

Jugalbandi (JB) Manager is a full AI-powered conversational chatbot platform. It's platform agnostic and can serve multiple channels such as WhatsApp or custom web interfaces. It can handle conversations in both text and voice across any language. It comes with Bhashini Speech models out of the box and can failover to Azure.

Master thesis with code investigating methods for incorporating long-context reasoning in low-resource languages, without the need to pre-train from scratch. We investigated if multilingual models could inherit these properties by making it an Efficient Transformer (s.a. the Longformer architecture).

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