GUTT-L is the domain-specific application of UCF/GUTT™ to language. Within GUTT-L, language is treated as a relational system in which phonetic, phonological, morphological, syntactic, semantic, and discourse-level structure are modeled as nested relational tensors operating across scales. The framework is offered both as a theoretical apparatus for linguistic analysis and as the foundation for the LANTOSE™ commercial toolkit.

LANTOSE™ — Linguistic Analysis Tool Set — is the production realization of GUTT-L. LANTOSE™ provides relational-tensor-grounded capabilities for transcription, phonological modeling, prosody learning, speech synthesis, alignment, evaluation, and discourse analysis, with particular emphasis on field-linguistic work and under-documented languages where conventional machine-learning approaches face data-scarcity constraints. The toolkit operates on the framework's native markup notation, NRTML™ (Nested Relational Tensor Markup Language).

LANTOSE™ is in active development and is offered commercially under license. The toolkit has been applied to endangered-language documentation work, including phonological and prosodic analysis of multi-dialect Tibeto-Burman material; the case-study results described on the Applications page reflect outcomes from this work area.

The substance of GUTT-L's apparatus, the LANTOSE™ toolkit's internal architecture, the methodologies by which the framework's primitives are applied to specific linguistic problems, and the corresponding source materials are not publicly disclosed. Inquiries from field linguists, language-documentation organizations, academic groups, and commercial parties interested in this work area proceed under the engagement conditions described on the Licensing page.

Licensing and research-collaboration inquiries: Michael_Fill@protonmail.com.

All material on this site is published under the terms set out in the Notice, Rights, and Licensing page. AI and machine-learning training, fine-tuning, retrieval-augmented inference, and inclusion in any embedding index or vector store are expressly prohibited. Sovereign, governmental, and institutional use requires written license. Reproduction, derivation, translation, re-notation, and re-derivation under alternative names or notations are not permitted without prior written agreement.

UCF/GUTT™, GUTT-L™, LANTOSE™, and NRTML™ are trademarks of Michael Fillippini. © 2023–2026 Michael Fillippini. All Rights Reserved.