Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

QIMNLP: A Lightweight Quantum-Inspired Multilingual Natural Language Processing Model

Domaine:

natural language processing

Type de record:

model
Créateur:
Ony
Éditeur:
Zenodo
Hôte:avatar
We present QIMNLP (Quantum-Interference Modulation  Natural Language Processing), a novel byte-level language model that incorporates quantum interference modulation for enhanced multilingual text generation. Our approach introduces a Quantum Interference Modulator that applies position-dependent modulation to token embeddings, enabling more nuanced representation learning across multiple languages. The model achieves competitive performance on multilingual tasks while maintaining computational efficiency suitable for edge deployment. With only 43,085 parameters (~0.16 MB), QIMNLP demonstrates effective language modeling, language identification, and word boundary detection across three African languages: Luo, Kikuyu, and Lubukusu.

Visit

doi.orgzenodo.org

Tasks

language modeling

Languages

BukusuGikuyu

Tags

multilingual NLPAfrican languagesQIMNLP

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

Similaires

Efficient and human-inspired natural language processing methods for multilingual and low-resource settingsQCSE: A Pretrained Quantum Context-Sensitive Word Embedding for Natural Language ProcessingMedLing: A Multilingual Natural Language Processing Framework for Medical Diagnosis Support SystemNatural Language Processing (NLP) tools - multilingual and low-resource languagesA Survey on Multilingual Natural Language Processing: Data, Models, Evaluation, and Future DirectionsBambaraMLLM: A Unified Multilingual Multimodal Large Language Model for Comprehensive Bambara Language Processing

Efficient and human-inspired natural language processing methods for multilingual and low-resource settings

The rapid advancement of large language models (LLMs) has revolutionized natural language processing

QCSE: A Pretrained Quantum Context-Sensitive Word Embedding for Natural Language Processing

Quantum Natural Language Processing (QNLP) offers a novel approach to encoding and understanding the

MedLing: A Multilingual Natural Language Processing Framework for Medical Diagnosis Support System

Access to digital healthcare in Nigeria remains limited by language barriers, as most medical platfo

Natural Language Processing (NLP) tools - multilingual and low-resource languages

A Survey on Multilingual Natural Language Processing: Data, Models, Evaluation, and Future Directions

While natural language processing (NLP) has advanced for major languages, most of the world’s 7,000

BambaraMLLM: A Unified Multilingual Multimodal Large Language Model for Comprehensive Bambara Language Processing

BambaraMLLM is a unified multilingual multimodal large language model (MMLLM) designed to address th