Bridging Languages, Scaling Knowledge
Our Computational & Cross-Linguistic Research division develops next-generation NLP architectures, multilingual alignment techniques, and low-resource language modeling frameworks. These tools power Aevum Encyclopedia's ability to ingest, verify, and connect knowledge across 140+ languages.
We focus on overcoming linguistic bias, improving cross-lingual transfer, and creating open benchmarks that measure true semantic equivalence rather than surface-level translation accuracy.
Research Pillars
Targeted investigations designed to solve fundamental bottlenecks in multilingual AI and cross-lingual knowledge representation.
Multilingual NLP Architectures
Designing transformer variants optimized for high-dimensional semantic spaces, enabling zero-shot and few-shot cross-lingual transfer without catastrophic forgetting.
Cross-Linguistic Knowledge Transfer
Developing contrastive alignment techniques that map concepts across languages with divergent syntax, morphology, and cultural framing.
Low-Resource Language Modeling
Pioneering data augmentation, phonetic transliteration pipelines, and transfer learning strategies to achieve parity for underrepresented languages.
Computational Semantics & Ontology
Building dynamic knowledge graphs that evolve with language, integrating lexical semantics, pragmatic context, and encyclopedic metadata.
Research Methodology
A rigorous, reproducible pipeline from hypothesis to open-source deployment.
Corpus Mining & Curation
We aggregate, clean, and align parallel and pseudo-parallel corpora from academic, web, and indigenous language archives, ensuring ethical sourcing and representational balance.
Contrastive Pre-Training
Models are trained on cross-lingual contrastive objectives, forcing shared latent representations for equivalent concepts while preserving language-specific nuances.
Cross-Lingual Evaluation
We benchmark using XNLI, XSTS, and custom Aevum semantic equivalence tasks, measuring precision, recall, and cultural context preservation.
Open Release & Integration
All models, datasets, and evaluation scripts are published under permissive licenses and directly integrated into Aevum's knowledge graph pipeline.
Selected Publications & Datasets
CrossLinguaBench: A Unified Framework for Multilingual Semantic Alignment
ACL 2024 • J. Chen, M. Al-Farsi, R. OkoyeZero-Shot Concept Transfer in Morphologically Rich Languages
EMNLP 2023 • S. Nair, L. Vogel, T. TanakaLow-Resource Phonetic Transliteration for Agglutinative Languages
NAACL 2023 • K. Mbaye, E. SørensenOpenPolyGlot-140: The Aevum Multilingual Corpus
arXiv:2402.8819 • Aevum Research CollectiveCollaborate With Our Team
We actively seek partnerships with universities, linguistic institutes, and open-source developers. Share your expertise or request access to our datasets.