April 2026 (2026-04) monthly summary for giellalt/lang-sme: Completed expansion and refinement of the Sámi noun morphology lexicon and processing rules to improve vocabulary coverage and morpho-syntactic analysis. Key work includes adding the new noun 'gistolohkan', updating stems, introducing new noun entries, refining existing entries, splitting and clarifying entries for málđidja/máđii, and introducing a semantic classification for nouns to enhance downstream linguistic tools. No critical bugs reported this month; focus was on quality of lexicon and tooling enhancements. This work strengthens linguistic processing, enabling more accurate parsing and improved language tooling for Sámi language support.

March 2026: Implemented major lexicon updates for Sámi language tooling across two repos (giellalt/lang-sma and giellalt/lang-sme). Delivered expanded and refined morphological lexicons, standardized departmental terminology, spelling/phonology improvements, and enhanced testing/documentation. These changes improve NLP accuracy, consistency, and data quality for language processing pipelines and research.

February 2026 monthly summary for giellalt/lang-sme and giellalt/lang-sma. Delivered targeted lexicon and morphology improvements to increase linguistic accuracy, coverage, and maintainability, enabling more reliable NLP tooling and user-facing language services. Highlights include cross-repo lexicon enrichment, morphology quality fixes, and code-format cleanups that reduce ambiguity in downstream processing.

January 2026 performance highlights: across two repositories, delivered substantive lexical and data quality improvements for Sami language tools. In lang-sme, completed Lexicon Expansion and Morphology Restructuring, including reclassifying adverbs as adjectives, adding new nouns for exams and food, introducing verbs muldet and hilsket, adding adjective oađđálas with grammatical tags, and bulk-adding approximately 40 lemmas. Also fixed a morphology spelling/lemma (roski vs roaski) to ensure model accuracy. In lang-sma, improved lexicon data quality by commenting out a questionable noun 'sisnjele' to prevent unreliable entries. These changes increase lexicon coverage, improve morphology fidelity, and enhance downstream NLP tasks.

December 2025 performance summary:Delivered targeted lexical enhancements for Sámi language processing in two primary repositories, strengthening morphology analysis, vocabulary coverage, and data quality. The work supports reliable NLP tasks, better search and analytics, and a solid foundation for downstream language tooling.

November 2025 monthly summary: Delivered core morphology, lexicon expansion, and data augmentation across lang-sme and lang-sma, strengthening parsing/generation, language coverage for children’s literature, and media contexts. Key design decisions included formalizing NomAg as a stemtype and integrating l-forms into Kondisjonals and the NDS paradigm, enabling broader linguistic coverage with consistent endings. The work also expanded structured lexicons (SUTTES) and extended imperative forms, while enriching data with Ruški content and loanwords to improve real-world applicability. Overall, these improvements increase accuracy, coverage, and business value for language generation, linguistics tooling, and educational/app content pipelines.

Month: 2025-10 — Performance summary for Giellalt language repositories (lang-sme and lang-sma). Key features delivered: - Sami Lexicon Expansion and Quality Improvements (giellalt/lang-sme): expanded lexicon across adjectives, verbs, and nouns; cleaned duplicates; corrected spellings; enhanced tooling to validate lexicon data. Representative commits include 9151a2939797e1d6878d5dbf2dceff348fc49969, 9a2e23b2c82ce4b24e87cc5c99a34d7754b79bea, and 8999f76c87d369b4790636417c3eb2d5c2941955. - Lexicon data enhancement for lang-sma: added lexical entry for noun 'lemma' in nouns.lexc with grammatical properties and semantic category; refined lexc tag-checking script to exclude TTS tags and improve filtering. Commits include 94c462eab8c2a4e32662f1490899301e2fa5ca75 and 0be281f00d358cfa681cb70577427c9d7f48da9c. Major bugs fixed: - Removed duplicate lexemes and redirected lexicon entries to correct lemma attributes; improved data validation to prevent incorrect auto-generation of noun-lemma attributes. Relevant commits include 225b2592e680a5abc68feebcfe7322e946c0b88a and d-bytes-not-available (placeholder for non-listed commit in data). Overall impact and accomplishments: - Improved lexicon data quality across two languages, enabling more reliable NLP processing, better downstream accuracy, and faster iteration cycles for product features. Technologies/skills demonstrated: - Lexicon engineering, data validation tooling, script refinements, multi-repo collaboration, and language data governance.

September 2025 monthly summary: Delivered significant linguistic engineering enhancements across giellalt/lang-sme and giellalt/lang-sma, focusing on MT readiness, multilingual data support, morphological accuracy, and lexical enrichment. Key outcomes include groundwork for Dii adverbs tokenization and MT integration; expanded non-Latin data handling; substantial morphology and ignore-list improvements; extended suorggis lexical coverage with new variants and a select-rule; and lexicon enrichment for sma with a new Sem/Ani_Body tag and noun refinements. These efforts improve end-to-end translation quality, reduce post-editing, and broaden language coverage for MT pipelines, while strengthening data quality and maintainability.

August 2025 Monthly Work Summary for giellalt/lang-sme focusing on lexicon consistency, morphology generation, and data quality improvements. Delivered a broad set of lemma-level refinements, expanded the Sámi lexicon with new lemmas and improved morphological support, and tightened form generation and tagging to enable more accurate NLP outputs and downstream tooling. Implemented key disambiguation and data-quality fixes that reduce ambiguity and improve maintenance.

Concise monthly summary for July 2025 focused on delivering and maintaining the Sami lexicon in the giellalt/lang-sme repository, with emphasis on improving morphological analysis, semantic tagging, and user-facing language processing. Work included extensive lexicon expansion across verbs and nouns, reorganization of verb lemmas for consistency, and the addition of domain-specific entries (audio, furniture, plants), all aligned with external references to ensure accuracy and future-proofing.

June 2025: Delivered major lexical and morphology enhancements for Saami language tooling across lang-sme and lang-sma. Highlights include expanding the Sami lexicon (nouns, adjectives, noun stems) with new compounds and food terms; restructuring verb lexicon with additional conjugations; and targeted cleanup and semantic/tagging refinements to improve tagging precision. In lang-sma, advanced lexical resources and morphology rules, plus disambiguation improvements for Der tag and killifVinCohort with longer suffix lists. These efforts improve morphological analysis accuracy, disambiguation reliability, and data quality, enabling more robust downstream NLP workflows.

May 2025 focused on strengthening Sámi language resources and lexicon accuracy across lang-sme and lang-sma. Delivered orthography robustness, extensive lexicon enrichment, and culture-focused terms, alongside corpus cleaning and data governance improvements. The work enhances NLP reliability, morphology tagging accuracy, and maintainability, enabling scalable lexicon management and better end-user language services.

April 2025 monthly summary for giellalt/lang-sme, giellalt/lang-sma, and giellalt/lang-smj. Deliveries focused on ontology enrichment, lexicon expansion, robust text processing, and developer tooling to improve localization accuracy, data quality, and NLP scalability across Sami languages. Key outcomes include ontology/taxonomy enhancements, standardized orthography/morphology, expanded multilingual and domain vocabularies (including health terminology), and improved encoding/validation workflows. Added numeric span representation support in the root lexicon and strengthened CLI capabilities to accelerate development cycles.

March 2025: Delivered substantial enhancements to the Sami NLP stack across SME, SMA, and SMJ repositories. Implemented semantic tagging and sem-tagger integration, expanded lexicon with new lemmas and forms, strengthened morphology and grammar analysis, and stabilized data quality and build processes. The work delivers business value through richer semantic interpretation, improved morphological accuracy, fewer runtime issues, and a maintainable lexicon foundation for rapid term onboarding and downstream analytics.

February 2025: Consolidated NLP enhancements for giellalt/lang-sme with a focus on lexicon quality, parsing stability, and multi-morphology support. Delivered lexical and morphological improvements, fixed core tagging/parsing issues, and expanded test coverage to increase confidence in downstream NLP tasks. This work enhances tagging accuracy, reduces noise in the lexicon, and establishes richer lemma/PoS data for applications.

January 2025 performance summary for giellalt/lang-sme, giellalt/lang-sma, and giellalt/lang-smj. Delivered substantive enhancements to lexical data quality, morphology rules, and testing, with Sem-tagger integration and expanded lexical coverage enabling more reliable NLP pipelines. Fixed critical tagging and data issues, and improved validation workflows to support scalable language data curation.

Monthly summary for December 2024 covering two repos (giellalt/lang-sme and giellalt/lang-sma). Focused on delivering language data, improving localization accuracy, and tightening tagging/grammar to drive higher-quality language processing and downstream business value (e.g., MT, search, and data curation).

In November 2024, delivered targeted language tooling enhancements across two Sami-language repositories (giellalt/lang-sme and giellalt/lang-sma), focusing on grammar disambiguation, lexical coverage, morphology, and disambiguation capabilities. Key efforts included refining grammatical analysis for specific adverbs, expanding the Sami lexicon with robust morphology rules, and enhancing semantic tagging and disambiguation logic. Test updates accompanied feature work to ensure reliability and maintainability. The work improves parsing accuracy, language coverage, and readiness for broader deployment in linguistic analysis pipelines.

Concise monthly summary for 2024-10 focused on delivering lexical resource enhancements for the Sme language and strengthening the underlying language model's analysis. Business value centers on vocabulary expansion, improved parsing accuracy, and readiness for downstream NLP tasks.