April 2026 monthly summary for giellalt/lang-sme: Focused on improving morphological accuracy and orthographic consistency in the language model. Fixed key errors and inconsistencies, delivered targeted corrections, and set the stage for more robust downstream processing.

March 2026 performance summary for giellalt language projects. Delivered cross-repo morphology and configuration improvements, aligning standards and enhancing input accuracy and maintainability. Key features include orthography-aware morphology enhancements for lang-sme, JSON configuration standardization across lang-sme and lang-sma, morphology and script adjustments in lang-sms, and lemma-generation test alignment in lang-smj. These changes improve end-user input handling, morphological reliability, and CI/test stability with measurable cross-repo consistency.

February 2026 performance snapshot for giellalt/lang-sme and giellalt/lang-sms. Delivered targeted lexical expansions and robustness improvements that increase parsing accuracy and coverage for Sámi morphology, with clear business value in downstream NLP reliability and language tooling.

January 2026: Delivered major Finnish-language morphology improvements and lexicon standardization across two repositories (giellalt/lang-sms and giellalt/lang-sme), with 19 commits driving tangible improvements in numeral handling, lexical coverage, and verb classification. Work encompassed feature development, targeted bug fixes, and data quality enhancements that directly improve reliability and user-facing language processing.

December 2025 monthly summary focusing on key accomplishments across giellalt/lang-sms and giellalt/lang-sme. This period delivered targeted morphology improvements and vocabulary expansion to enhance language processing accuracy and expressiveness, with concrete commits to lexical data and proper noun handling.

November 2025 monthly summary focusing on lexical data quality and morphology enhancements across giellalt/lang-sms and giellalt/lang-sme. Delivered targeted expansion of the lexical resource, corrected data inconsistencies, and removed morphology-impairing edge cases. Resulting in higher vocabulary coverage, more consistent morphologies, and a solid foundation for downstream NLP tasks.

October 2025 focused on strengthening lexicon accuracy and morphology processing across the core language models, with targeted updates to language data and orthographic handling. Deliveries improved linguistic rule conformance, reduced data inconsistencies, and reinforced data governance across two repositories, delivering measurable business value in user-facing language processing.

Month 2025-09: Summary of work in giellalt/lang-sms focusing on lexical data and morphology enhancements, with data quality improvements to ensure reliable language generation.

In July 2025, delivered targeted lexicon improvements for giellalt/lang-sms, including crucial bug fixes in illative endings and noun morphology, and a new verb error-tagging entry to improve morphological analysis. Changes were guided by linguistic feedback and code reviews, with traceable commits for full auditability.

In April 2025, delivered a critical bug fix in the giellalt/lang-sms repository to standardize noun lexicon handling for diminutives. The change ensures consistent derivation across grammatical cases and aligns the PL-OBL (plural oblique) forms for N_MUORYZH-WITH-PAL and N_KUUZZYZH-WITH-PAL lexicons with the established diminutive derivation rules. Refactoring improves lexical consistency, reduces morphology edge-cases, and strengthens downstream language generation reliability. This work is traceable to commit 1539c5cdf4e16554b9dd7d3228ee585a648ef727.

February 2025 (2025-02) monthly summary focusing on core lexical and morphological work in giellalt/lang-sms. Delivered expanded pronoun morphology, enhanced verb and adjective morphology, and a critical lexicon fix, driving higher accuracy and coverage for language processing and downstream NLP tasks.

January 2025 monthly summary for giellalt/lang-sms: Delivered substantive enhancements to miniparadigm generation and expanded the lexicon, resulting in broader vocabulary coverage and improved generation quality. The work strengthens downstream NLP tasks and aligns with linguistic data from existing tales, enabling more accurate experiments and modeling.

December 2024 performance summary for giellalt/lang-sms. Focused on improving test reliability for phonology processing and correcting morphology data to ensure accurate linguistic processing, data quality, and release readiness. Key changes enhance test stability, data integrity, and downstream business value from the language tooling.

November 2024 monthly summary for giellalt/lang-sme focusing on linguistic data quality improvements. Delivered a targeted data correction in the lexographical dictionary to fix a spelling error across noun entries, improving data integrity for downstream NLP tasks and user-facing features.