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@article{207244,
        author = {Sayeda Mahak Musawwir and Aditya Saxena and Megha Saxena},
        title = {Enhancing Language-Agnostic Systems with Slang-Aware Semantic Normalization for Robust Multilingual Understanding},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {no},
        pages = {109-116},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=207244},
        abstract = {The development of language-agnostic systems has significantly advanced multilingual natural language processing by enabling shared semantic representations across languages. However, existing language-agnostic architectures primarily focus on formal linguistic structures and often struggle with informal, slang-heavy, and evolving digital communication. This limitation reduces system robustness in real-world applications such as chatbots, question-answering systems, and social media analysis. 
This paper proposes an enhanced language-agnostic framework incorporating a Slang-Aware Semantic Normalization (SASN) layer designed to handle millennial and Gen-Z terminology, code-mixed expressions, and informal language variations. The proposed architecture integrates universal sentence encoding, semantic role abstraction and a dynamic slang normalization module prior to semantic embedding. We introduce the concept of Informal Robustness Score (IRS) to evaluate system performance across formal, informal, and code-mixed inputs. The study demonstrates that incorporating slang-aware normalization improves semantic invariance and crosslingual transfer capability, particularly in multilingual and low-resource contexts. The proposed framework contributes toward building more inclusive and socially adaptive language-agnostic AI systems.},
        keywords = {Crosslingual transfer, informal language processing, Language-agnostic systems, multilingual NLP, slang normalization, semantic role labeling},
        month = {July},
        }