giellalt/lang-kal
Nov 2024 – Oct 2025
11 Months active
Languages Used
CG3LexClexlexcCg3Lexcg3xfscript
Technical Skills
Lexicon DevelopmentLinguistic AnalysisLinguistic Data ManagementLinguistic ProgrammingMorphological AnalysisMorphology
planggard
PROFILE
Planggard
Pela developed and maintained Greenlandic natural language processing resources in the giellalt/lang-kal repository, focusing on lexicon and morphology enhancements to improve parsing accuracy and linguistic coverage. Over 11 months, Pela engineered rule-based systems and finite-state transducers using C++ and Lexc, expanding lexical entries, refining morphological rules, and implementing robust disambiguation logic. The work included targeted fixes for phonology and parser stability, as well as the introduction of new derivations, affixes, and proper noun handling. Pela’s contributions resulted in a more reliable analysis pipeline, reduced ambiguity, and a scalable foundation for downstream NLP tasks and future language resource development.
Overall Statistics
Feature vs Bugs
82%Features
Repository Contributions
73Total
Bugs
4
Commits
73
Features
18
Lines of code
3,049
Activity Months11
Your Network
18 peopleSame Organization
@oqaasileriffik.gl2
Work History
October 2025
2 Commits • 1 Features
Oct 1, 2025Month: 2025-10 — Delivered FST Morphology Enhancements for giellalt/lang-kal focusing on disambiguation accuracy and lexicon coverage. Expanded the lexicon with new derivation/inflection entries and added nouns to improve speech recognition and hyphenated binding, broadening linguistic processing coverage and boosting recognition reliability. Two targeted commits fixed small FST holes to stabilize the morphology pipeline.
2 Commits • 1 Features
Oct 1, 2025Month: 2025-10 — Delivered FST Morphology Enhancements for giellalt/lang-kal focusing on disambiguation accuracy and lexicon coverage. Expanded the lexicon with new derivation/inflection entries and added nouns to improve speech recognition and hyphenated binding, broadening linguistic processing coverage and boosting recognition reliability. Two targeted commits fixed small FST holes to stabilize the morphology pipeline.
October 2025
September 2025
6 Commits • 2 Features
Sep 1, 2025Month 2025-09: Substantive enhancements to Greenlandic NLP in giellalt/lang-kal, focusing on morphology, lexicon, disambiguation, semantics, and ordinal numbers. These changes increase processing accuracy and coverage, enabling more reliable analysis, generation, and downstream language tooling for Greenlandic use cases. No major bugs fixed this month; emphasis was on feature delivery, data maintenance, and maintainability, laying groundwork for scalable language support. The work demonstrates strong NLP engineering, data-driven language modeling, and careful code hygiene, with a clear path for future enhancements that support business goals such as improved translation quality and automatic analysis.
September 2025
6 Commits • 2 Features
Sep 1, 2025Month 2025-09: Substantive enhancements to Greenlandic NLP in giellalt/lang-kal, focusing on morphology, lexicon, disambiguation, semantics, and ordinal numbers. These changes increase processing accuracy and coverage, enabling more reliable analysis, generation, and downstream language tooling for Greenlandic use cases. No major bugs fixed this month; emphasis was on feature delivery, data maintenance, and maintainability, laying groundwork for scalable language support. The work demonstrates strong NLP engineering, data-driven language modeling, and careful code hygiene, with a clear path for future enhancements that support business goals such as improved translation quality and automatic analysis.
August 2025
1 Commits • 1 Features
Aug 1, 2025Monthly summary for 2025-08 highlighting a focused delivery for giellalt/lang-kal: refined the FST morphology lexicon to improve handling of proper nouns and abbreviations, driving more accurate linguistic processing and downstream impact on NLP tasks.
1 Commits • 1 Features
Aug 1, 2025Monthly summary for 2025-08 highlighting a focused delivery for giellalt/lang-kal: refined the FST morphology lexicon to improve handling of proper nouns and abbreviations, driving more accurate linguistic processing and downstream impact on NLP tasks.
August 2025
July 2025
10 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for giellalt/lang-kal: Delivered major Lexicon and Morphology Expansion and Parser robustness improvements, enhancing parsing accuracy and stability of Kal language processing. Key outcomes include expanded lexicon and morphology rules with new nouns, affixes, suffixes, derivations, loanwords, and verb stems; strengthened Finite-State Transducer (fst) coverage; fixes for multiple FST holes; and parser improvements addressing whitespace handling in the disambiguator and refined numeral morphology to reduce overgeneration and improve numeric parsing. These efforts increased parsing reliability, enabling more accurate downstream NLP tasks and better user experiences. Skills demonstrated include NLP design with lexicon/morphology, FST development, disambiguation robustness, and rigorous code-quality improvements.
July 2025
10 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for giellalt/lang-kal: Delivered major Lexicon and Morphology Expansion and Parser robustness improvements, enhancing parsing accuracy and stability of Kal language processing. Key outcomes include expanded lexicon and morphology rules with new nouns, affixes, suffixes, derivations, loanwords, and verb stems; strengthened Finite-State Transducer (fst) coverage; fixes for multiple FST holes; and parser improvements addressing whitespace handling in the disambiguator and refined numeral morphology to reduce overgeneration and improve numeric parsing. These efforts increased parsing reliability, enabling more accurate downstream NLP tasks and better user experiences. Skills demonstrated include NLP design with lexicon/morphology, FST development, disambiguation robustness, and rigorous code-quality improvements.
June 2025
8 Commits • 2 Features
Jun 1, 2025June 2025 performance summary for giellalt/lang-kal: Delivered two major feature pillars—Lexicon and Morphology Enhancements and Disambiguation and Parsing Improvements—leading to higher parsing accuracy, improved language generation, and greater robustness for numerals, dates, and phone-number handling. While there were no major bugs fixed this month, targeted refinements in disambiguation and parsing improve reliability and reduce ambiguity in edge cases. These enhancements translate to tangible business value: more accurate linguistic analysis and generation, reduced downstream corrections, and a solid foundation for future extensions and multi-language support. Demonstrated excellence in finite-state processing, regex design, morphology and disambiguation rule engineering, and language modeling capabilities.
8 Commits • 2 Features
Jun 1, 2025June 2025 performance summary for giellalt/lang-kal: Delivered two major feature pillars—Lexicon and Morphology Enhancements and Disambiguation and Parsing Improvements—leading to higher parsing accuracy, improved language generation, and greater robustness for numerals, dates, and phone-number handling. While there were no major bugs fixed this month, targeted refinements in disambiguation and parsing improve reliability and reduce ambiguity in edge cases. These enhancements translate to tangible business value: more accurate linguistic analysis and generation, reduced downstream corrections, and a solid foundation for future extensions and multi-language support. Demonstrated excellence in finite-state processing, regex design, morphology and disambiguation rule engineering, and language modeling capabilities.
June 2025
May 2025
10 Commits • 1 Features
May 1, 2025In May 2025, the giellalt/lang-kal repo delivered a major Lexicon and Morphology enhancement plus targeted bug fixes, strengthening linguistic coverage and analysis reliability in Kal language tools. Key outcomes include expanded lexicon entries, derivations, affixes, proper nouns and verb forms, backed by 8 commits; plus critical fixes to phonology processing and disambiguation rules that corrected epenthesis behavior, long vowels in possessive truncations, and possessive handling. Overall impact: improved natural language generation quality and analysis accuracy, reducing post-generation corrections and enabling downstream features. Technologies demonstrated include xfst scripting, lexicon/morphology modeling, and corpus-rule debugging. Business value: more robust language resources support better NLP features, higher confidence in deployments, and faster iteration cycles.
May 2025
10 Commits • 1 Features
May 1, 2025In May 2025, the giellalt/lang-kal repo delivered a major Lexicon and Morphology enhancement plus targeted bug fixes, strengthening linguistic coverage and analysis reliability in Kal language tools. Key outcomes include expanded lexicon entries, derivations, affixes, proper nouns and verb forms, backed by 8 commits; plus critical fixes to phonology processing and disambiguation rules that corrected epenthesis behavior, long vowels in possessive truncations, and possessive handling. Overall impact: improved natural language generation quality and analysis accuracy, reducing post-generation corrections and enabling downstream features. Technologies demonstrated include xfst scripting, lexicon/morphology modeling, and corpus-rule debugging. Business value: more robust language resources support better NLP features, higher confidence in deployments, and faster iteration cycles.
April 2025
5 Commits • 1 Features
Apr 1, 2025April 2025 monthly performance summary for repository giellalt/lang-kal. Focused on lexicon and morphology enhancements for the FST and FST-Huller pipeline, with targeted improvements to derivation rules, inflections, disambiguation, and proper nouns coverage. The work aligns with improving morpho-lexical analysis accuracy and language resource quality, enabling more reliable parsing and downstream NLP tasks.
5 Commits • 1 Features
Apr 1, 2025April 2025 monthly performance summary for repository giellalt/lang-kal. Focused on lexicon and morphology enhancements for the FST and FST-Huller pipeline, with targeted improvements to derivation rules, inflections, disambiguation, and proper nouns coverage. The work aligns with improving morpho-lexical analysis accuracy and language resource quality, enabling more reliable parsing and downstream NLP tasks.
April 2025
March 2025
10 Commits • 4 Features
Mar 1, 2025March 2025: giellalt/lang-kal delivered comprehensive Greenlandic NLP enhancements across grammar, morphology, and lexicon, improving parsing accuracy and linguistic coverage. Key features include: (1) Temporal and numerical grammar enhancements for Greenlandic (adds year-based expressions and numerical prefixes; refined year handling) with commits 2ee8750d97ad9b2111d83e52c61763db236e76d7 and e25e91a07503eadf300e8ce824269b17771bdc8e; (2) Greenlandic phone-number lexical rules for morphology and stems parsing (commit c485eba02421c30a65eebee326bd02f92ca13adb); (3) Loanword lexicon expansion and cleanup with new rules (commits 1513235ce3dbe03e80c817083d1ddbee500b3644, 96522f36535388a26ca7f244d70c1299501223b6, ba3f2b1fe5f7b16fcb77e1eb01b1219acb1941e1, 409fcc91907669eb21e2e8eaafa7514c580282a2, 9c61947dc18207f73771c9df5be01f08a75643fd); (4) Lexicon grammar and morphology enhancements (adds Gram/Ord entries; removes an unnecessary flag; commits 87c17c2481f9700a024e6a89512642b0beae4701, d8a073b2c31cfdda7877d09b8804403bca67795c); and (5) minor FST fixes addressing two small holes (commit 9c61947dc18207f73771c9df5be01f08a75643fd). Overall impact: more robust Greenlandic NLP pipeline, reduced manual correction, and enabled higher-quality downstream tasks such as search, indexing, and language tooling. Technologies demonstrated: finite-state transducers, morphology parsing, lexical rule framework, lexicon refactoring, and grammar/ordinal expansions.
March 2025
10 Commits • 4 Features
Mar 1, 2025March 2025: giellalt/lang-kal delivered comprehensive Greenlandic NLP enhancements across grammar, morphology, and lexicon, improving parsing accuracy and linguistic coverage. Key features include: (1) Temporal and numerical grammar enhancements for Greenlandic (adds year-based expressions and numerical prefixes; refined year handling) with commits 2ee8750d97ad9b2111d83e52c61763db236e76d7 and e25e91a07503eadf300e8ce824269b17771bdc8e; (2) Greenlandic phone-number lexical rules for morphology and stems parsing (commit c485eba02421c30a65eebee326bd02f92ca13adb); (3) Loanword lexicon expansion and cleanup with new rules (commits 1513235ce3dbe03e80c817083d1ddbee500b3644, 96522f36535388a26ca7f244d70c1299501223b6, ba3f2b1fe5f7b16fcb77e1eb01b1219acb1941e1, 409fcc91907669eb21e2e8eaafa7514c580282a2, 9c61947dc18207f73771c9df5be01f08a75643fd); (4) Lexicon grammar and morphology enhancements (adds Gram/Ord entries; removes an unnecessary flag; commits 87c17c2481f9700a024e6a89512642b0beae4701, d8a073b2c31cfdda7877d09b8804403bca67795c); and (5) minor FST fixes addressing two small holes (commit 9c61947dc18207f73771c9df5be01f08a75643fd). Overall impact: more robust Greenlandic NLP pipeline, reduced manual correction, and enabled higher-quality downstream tasks such as search, indexing, and language tooling. Technologies demonstrated: finite-state transducers, morphology parsing, lexical rule framework, lexicon refactoring, and grammar/ordinal expansions.
January 2025
8 Commits • 2 Features
Jan 1, 2025January 2025 achievements for giellalt/lang-kal: Delivered lexical and morphological enhancements and stabilized key disambiguation routines, enabling more accurate language processing and improved user-facing tooling. Focused on expanding lexical coverage for Aak/NunaFond, refining disambiguation rules, and enabling NIQAR=TUSSANNGUR verb constructions, with a focus on business value and long-term maintainability.
8 Commits • 2 Features
Jan 1, 2025January 2025 achievements for giellalt/lang-kal: Delivered lexical and morphological enhancements and stabilized key disambiguation routines, enabling more accurate language processing and improved user-facing tooling. Focused on expanding lexical coverage for Aak/NunaFond, refining disambiguation rules, and enabling NIQAR=TUSSANNGUR verb constructions, with a focus on business value and long-term maintainability.
January 2025
December 2024
3 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for giellalt/lang-kal. Focused on lexical enrichment and grammar-rule stabilization to raise NLP accuracy and vocabulary coverage. Delivered significant features and fixes that directly boost product reliability and language understanding. Key outcomes include disambiguation improvements for COVID-19, lexicon expansions, and a comprehensive grammar-rule refactor that enhances handling of specific constructions. These changes improve classification accuracy, vocabulary coverage, and grammar processing, delivering measurable business value and maintainability.
December 2024
3 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for giellalt/lang-kal. Focused on lexical enrichment and grammar-rule stabilization to raise NLP accuracy and vocabulary coverage. Delivered significant features and fixes that directly boost product reliability and language understanding. Key outcomes include disambiguation improvements for COVID-19, lexicon expansions, and a comprehensive grammar-rule refactor that enhances handling of specific constructions. These changes improve classification accuracy, vocabulary coverage, and grammar processing, delivering measurable business value and maintainability.
November 2024
10 Commits • 1 Features
Nov 1, 2024November 2024 — giellalt/lang-kal: Implemented Comprehensive Lexicon and Morphology Enhancements to boost parsing accuracy, reduce overgeneration, and expand coverage. Key updates include enhanced lexical entries, morphology rules, improved disambiguation, and stronger proper noun handling. Also added NIQ_AJUR=NAR to LEX, introduced SANA and Sana as proper nouns, aligned allap=QQA with Gram/Pass in parallel to allap=SIMA, and resolved fst-hull and tag issues. Result: more reliable Kal NLP and better downstream pipeline stability.
10 Commits • 1 Features
Nov 1, 2024November 2024 — giellalt/lang-kal: Implemented Comprehensive Lexicon and Morphology Enhancements to boost parsing accuracy, reduce overgeneration, and expand coverage. Key updates include enhanced lexical entries, morphology rules, improved disambiguation, and stronger proper noun handling. Also added NIQ_AJUR=NAR to LEX, introduced SANA and Sana as proper nouns, aligned allap=QQA with Gram/Pass in parallel to allap=SIMA, and resolved fst-hull and tag issues. Result: more reliable Kal NLP and better downstream pipeline stability.
November 2024
Activity
Loading activity data...
Quality Metrics
Correctness85.0%
Maintainability85.0%
Architecture82.2%
Performance75.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CG3Cg3LexLexCLexccg3lexlexcxfscript
Technical Skills
FSTGrammar EngineeringLexical AnalysisLexicon DevelopmentLexicon ManagementLinguistic AnalysisLinguistic Data ManagementLinguistic MorphologyLinguistic ProgrammingLinguistic Rule DevelopmentLinguistic Rule ImplementationLinguisticsMorphological AnalysisMorphological DisambiguationMorphology
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline