sillsdev/silnlp
Jan 2025 – Jan 2025
1 Month active
Languages Used
Python
Technical Skills
Argument ParsingCode RefactoringCommand-line InterfaceData AnalysisFile I/ONatural Language Processing
Bethany Moore
PROFILE
Bethany Moore
Developed the Lexicon Analysis Toolkit for the sillsdev/silnlp repository, delivering two Python scripts—compare_lex.py and count_words.py—that enable cross-corpus lexicon analysis and detailed word counts for XRI datasets. Applied type hinting and a generator-based is_word function to improve code reliability and efficiency when processing large datasets. Refactored the core library’s file I/O to use pathlib, resulting in more robust and readable file operations, especially for handling output files like unmatched_src_words.txt and lex_stats.csv. Focused on argument parsing, data analysis, and scripting, these enhancements improved data quality, reproducibility, and scalability for lexicon analytics pipelines and contributor onboarding.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
2
Lines of code
324
Activity Months1
Your Network
61 peopleSame Organization
@sil.org49
Shared Repositories
12
Work History
January 2025
4 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for sillsdev/silnlp: Delivered Lexicon Analysis Toolkit with two Python scripts, compare_lex.py and count_words.py, enabling cross-corpus lexicon analysis for XRI datasets and detailed per-experiment word counts. Implemented type hints and a generator-based is_word to improve reliability and streaming when processing large datasets. Completed Core Library File I/O and Path Handling Refactor, migrating common I/O to pathlib for robust and readable file operations, improving handling of filenames such as unmatched_src_words.txt and lex_stats.csv. Fixed key issues including type on --num arg and List-type efficiency per code reviews, and cleaned up file name handling. Overall impact: more reliable analytics, reproducible experiments, and faster onboarding for contributors; business value includes improved data quality, reproducibility, and scalable analytics pipelines. Commits referenced: 6d0367b8cc2005dfc9ac377d873ca19fdcf43265; 012d04b212c7dc54cd037d9727b184f3755ad234; 1ab9d01bcd369cc3ccba7802c924981b689a1f4b; 9ff05e70db2ca524cf9c83824f8eb0906677860c.
4 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for sillsdev/silnlp: Delivered Lexicon Analysis Toolkit with two Python scripts, compare_lex.py and count_words.py, enabling cross-corpus lexicon analysis for XRI datasets and detailed per-experiment word counts. Implemented type hints and a generator-based is_word to improve reliability and streaming when processing large datasets. Completed Core Library File I/O and Path Handling Refactor, migrating common I/O to pathlib for robust and readable file operations, improving handling of filenames such as unmatched_src_words.txt and lex_stats.csv. Fixed key issues including type on --num arg and List-type efficiency per code reviews, and cleaned up file name handling. Overall impact: more reliable analytics, reproducible experiments, and faster onboarding for contributors; business value includes improved data quality, reproducibility, and scalable analytics pipelines. Commits referenced: 6d0367b8cc2005dfc9ac377d873ca19fdcf43265; 012d04b212c7dc54cd037d9727b184f3755ad234; 1ab9d01bcd369cc3ccba7802c924981b689a1f4b; 9ff05e70db2ca524cf9c83824f8eb0906677860c.
January 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability85.0%
Architecture80.0%
Performance75.0%
AI Usage25.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Argument ParsingCode RefactoringCommand-line InterfaceData AnalysisFile I/ONatural Language ProcessingPathlibPythonScriptingType Hinting
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