October 2025 monthly summary: Across giellalt/lang-sme, lang-sma, and lang-sms, delivered significant rule-set modernization, lexicon and grammar enhancements, and parsing improvements. Key features included lexicon enhancements and grammar rule stabilization in lang-sme; disambiguation and semantic tagging improvements in lang-sma; expanded grammar-checking and habitive rules in lang-sms. Major bugs fixed encompassed year handling, feedback flow, and legacy rule formats, with broad cleanup and data migration to YAML. Overall impact: improved parsing accuracy, reduced user-facing errors, and a more maintainable, standards-compliant rule base. Technologies demonstrated include Git-driven collaboration, rule-based NLP development, data migration to YAML, semantic tagging, and cross-repo coordination.

September 2025 performance snapshot across giellalt/lang-sme, giellalt/lang-smj, and giellalt/lang-sms. Focused on strengthening grammar analysis, improving test coverage, and refining user-facing feedback. Key features delivered: Lang-SME grammar checker rule fixes and renaming in grammarchecker.cg3 to unify rule application across ADD/COPY, plus tokenizer improvements for auxiliary constructions involving 'leat'. Sami grammar test data and coverage improvements with expanded number-phrase handling. Northern Sami error messaging refinements to clarify spelling, case, and punctuation. Lang-SMS introduced Finnish grammar rules for detecting misuses of attributive/predicative adjectives and incorrect essive vs locative case usage, with corrective suggestions. Major fixes across repos include valency/bidjui rule corrections, test-data tweaks, and minor documentation text corrections. Overall impact: higher grammar accuracy, clearer UX, broader test coverage, and improved cross-repo consistency, enabling faster QA and more reliable language processing for end users. Technologies/skills demonstrated: grammar-rule engineering and refactoring, tokenizer rule additions, test-data curation, YAML-based test coverage, and cross-repo collaboration for Nordic languages.

August 2025: Delivered YAML-driven configurations and rule enhancements across giellalt/lang-sme with a focus on reliability and maintainability. Key features delivered include Hab case errors YAML support, Laxen 2 VFIN rules, copy rule for real-oastit, and a new grammar YAML test for lang-sma; these changes improve validation coverage and maintainability. Major bug fixes encompassed subject-verb agreement fixes, BARRIER in ahte-not-fs, fidnet-rule, valency, attr-pred, msyn-attr-not-loc, adjective-case inflected rules, case-congruence-loc, real-Derh-Inf issues (including finite verbs) and Real-DerNomActSgGen-PrfPrc fixes, reducing regressions and increasing correctness. Overall impact: higher grammatical accuracy, expanded test coverage, and broader language variant support. Technologies/skills demonstrated include YAML-driven configuration, rule-based grammar engine updates, and test-driven development with incremental commits across multiple repos.

July 2025 monthly summary for giellalt/lang-sme and giellalt/lang-sma. Delivered notable features and fixes across Sámi language tooling, including grammar checking enhancements, date parsing support, transitivity tag corrections, and maintenance improvements. These results deliver business value by increasing accuracy, reducing manual review, and enabling more robust language processing in production.

June 2025 performance summary for two repositories (giellalt/lang-sma and giellalt/lang-sme). Focused on delivering robust grammar and disambiguation features, targeted bug fixes, and legal/documentation updates. Achieved measurable improvements in grammar accuracy, edge-case handling, and maintainability, with traceable commits across both projects.

May 2025 monthly summary for two repositories (giellalt/lang-sme and giellalt/lang-sma). Focused on correcting grammar checker behavior and expanding rule coverage to improve accuracy, disambiguation, and overall reliability, enabling higher-quality language processing and downstream product features.

April 2025 performance summary for giellalt/lang-sma: Delivered a broad set of grammar-rule enhancements and stability improvements that expand linguistic coverage, improve parsing accuracy, and reduce risk. Key changes include the integration of the Ektine rule, introduction of goh-nom to essive rule with subject-verb congruence, and expanded numeral and demphrase handling. Strengthened the rule set with general agreement rules, valency rules (gaavnedidh), and additional verb valencies, while widening msyn-po-acc-gen to coordinated items. YAML-driven rule configuration and tests were added to improve maintainability and experimentation. Key achievements (top highlights with commits): - Ektine rule implemented in grammar (55442ac963f567f02dc483a1c2e4c2f46356bd67). - Goh-nom to essive rule and new subject-verb congruence logic (525ccf87dade9477177d60c2e3610ada3db25a3b). - General agreement rules introduced to standardize morphology and agreement handling (674d5ddb45867a1c840f883898105c8291125c5a). - Removed risky rule to improve safety and stability (4f98cdce5f9822befe76203a224871e447db23a8). - Demphrase barriers fixed and expanded demphrase rules (c21d691cad7b067384034bc15248e950fefe38e8; fad8d3ed2f6e5b016da8c058107bcc93d87bde2d). - Widened msyn-po-acc-gen applicability to coordinated items (46f34715f6b17405a0b685159aba233ec30849d2). - Fixed inf-pl3 verb rule (2ba71a97dfb12de5b10744e8c9857d1335c379d2). - Valency rule for gaavnedidh added (92a52950760d08f0bd8e2a1ab294f5337dddce43). - Mij gie rule introduced (c21cf3bbdf780f6f82460ff161db2bc671775103). - Numeral phrase rules for nom and ine; general numphrase rules added (fbfb87ba6a52988b8796bff38326832c562d1366; 5427dfdc7a3fe7fbdaebb9e9b6465f34cecfd995). - Coordination rules for numphrases implemented (510ba56b6b05625439be455031806ba566ba4826). - More verb valencies added and SV-essive enhancements with new YAML tests (c1967125ec597945328212ae17e6ebb8f59b1839; multiple commits including 79fd692ad72d5371c6104602106b34b216a277c8, fa767b6e42f25f81c677a05e87d61212f94ea580, 7bfcb04f0bf8138cb27466b27c8dd9c78a4e263c, 252c7ab64cef17fc1a6cec262e48381ed7c414b6, 78f2c223f06fbaf75b78eb90985f5002df2e40bb, 20944a8b7f8b7c71c944883146d47de32b3c036d, 76e46e2f624fc510fd5e4afec9c6d958a27c1521, 3d1ba411210c467abdd95639f7d1cde60ff5f8f5, a3b87d36ac9c3a980fd3e148be982c20edc723d5, 0a9ba7e37543ae38f811ce82d598642d4c09f3b6, 7a5c7a45ea925f5b1690378bfea5dd01dbde52e5). - Auxiliary-Verbs infinitive handling fixes (b79223a9e404c261c5a43b2b1e1d9762169cf68b; db690a3cdc716908dcfb265d749ec1541daf9d61). - YAML-rule configuration updates and miscellaneous fixes to improve maintainability (cbd0b18995c30cbb189972e49f7c9bada72cba23; 85af96029e787f975e531a48656156b3144d1981; 4a6fe3661e3a4cf08334252f880ab43df80767ab). - Demphase rule improvements, including Ela-extension and examples (c00749af4885c68650a84d64863194f83f8895c5; 543845982aedb6b62112427e6c839485d9abac84; b5aef1707634f0f1254af10f57b5888039dd87a1; 6719765ad5e543116a22ba31a74edd3e6085f1a4). - Finite subclause valency enhancements and broader testing coverage (880a160ed9e916490e6b232f3bd231be5861ed8c). - Multiple core stability fixes across the rule engine, evaluation, processing, and explanation rendering (cda6b5e3b00eefa26d1762f062939cc7b87803b1; 79fb38dd953d4b1cb074e3b245c918d3068a9742; 6bd09e5ea4b3a849278b960e342ce2bb12b40562; e53a172c0b6714804a13b1b7ca719b58727dc768; 00e7e75f41a807acaac7b9a8d0db0db327cfc630; efd100f685d1d61ed6aaedbc16ab1c38917c563a). - Rule testing configurability improvements ensuring targeted validation (efd100f685d1d61ed6aaedbc16ab1c38917c563a).

March 2025 monthly summary focusing on grammar engineering and language tooling across giellalt/lang-smj, giellalt/lang-sme, and giellalt/lang-sma. Delivered targeted grammar rule improvements, disambiguation refinements, and broader checker enhancements, translating to measurable gains in parsing accuracy, robustness, and language coverage across multiple languages.

February 2025: Delivered significant grammar and parsing enhancements across Sámi language tooling, expanded lexicon coverage, corrected tokenization issues, and completed essential maintenance to stabilize long-term development. The work improved parsing accuracy for numeral-noun phrases, refined adjective and agreement rules, and broadened temporal expression support, directly enabling higher-quality language processing in production pipelines.

January 2025: Delivered a focused Grammar Checker Enhancement for giellalt/lang-sme, adding a new focus adverbs list and updating the contextual analysis rule to improve accuracy. Also updated the grammar checker copyright year. No major bugs fixed this month. The update enhances contextual grammar accuracy for SME language, improves user experience, and strengthens code maintenance and licensing compliance.

December 2024 monthly summary: Across giellalt/lang-smj, lang-kal, and lang-sme, delivered targeted grammar-tooling improvements that enhance parsing accuracy, language coverage, and test reliability. Features delivered include numeral-phrase ADDRELATION handling improvements for Smj; resolution of conflicting word order rules in Kal; extensive Sámi grammar rule enhancements with disambiguation and negation improvements; and robust test data and parsing fixes to ensure reliable grammar checker performance. These changes collectively improve accuracy of grammar suggestions, reduce generation errors, and strengthen maintainability.

2024-11 monthly summary for giellalt/lang-sme: Focused on MWE tokeniser and grammar rule robustness in mwe-dis.cg3. Delivered enhancements to MWE tokenisation including subject-based tokenization and explicit handling of coordinated structures, along with grammar rule refinements for real-DerNomAgPlNom-Inf and fixes to past participle handling for a human-related verb. These changes improve MWE recognition accuracy, parsing reliability, and downstream NLP tasks.

Month: 2024-10 — Focused on the giellalt/lang-sme repository to improve grammar rule accuracy in the grammar checker and tokeniser. Consolidated fixes for acc-not-nom, syn-not-dego, and tokeniser REMOVE rules to boost parsing accuracy for grammatical structures and multi-word expressions. This work enhances reliability for core SME grammar processing and supports more accurate downstream NLP tooling. Commit-driven changes provide traceability and facilitate future enhancements.