Title: Comprehensive expansion of Ukrainian lexeme extraction queries (Issue #237 fixed)

[Collins-Webdev]

I'm excited to present a substantial enhancement to our Ukrainian language data extraction pipeline. This pull request significantly expands our SPARQL queries to capture a more comprehensive morphological landscape of Ukrainian lexemes across multiple parts of speech. Let's delve into the technical specifics:

1. Verbs 🔠 (query_verbs.sparql):

   • Implemented extraction of finite verb forms: * Present tense: 1st, 2nd, 3rd person singular (wd:Q192613 + wd:Q21714344/wd:Q51929049/wd:Q51929074 + wd:Q110786) * Past tense: masculine, feminine, neuter singular (wd:Q1240211 + wd:Q499327/wd:Q1775415/wd:Q1775461 + wd:Q110786)
   • Added imperative mood: 2nd person singular (wd:Q22716 + wd:Q51929049 + wd:Q110786)
   • Retained infinitive form extraction (wd:Q179230)

2. Nouns 📚 (query_nouns.sparql):

   • Extended singular case paradigm: * Genitive (wd:Q146233), Dative (wd:Q145599), Accusative (wd:Q146078) * Instrumental (wd:Q192997), Locative (wd:Q202142)
   • Maintained plural nominative (wd:Q131105 + wd:Q146786) and gender (wdt:P5185) extraction

3. Adjectives 🏷️ (NEW: query_adjectives.sparql):

   • Implemented comprehensive adjectival paradigm: * Singular nominative: masculine (wd:Q499327), feminine (wd:Q1775415), neuter (wd:Q1775461) * Plural nominative (wd:Q146786)
   • Included degree forms: comparative (wd:Q14169499) and superlative (wd:Q1817208)

4. Adverbs 🔄 (NEW: query_adverbs.sparql):

   • Established query for adverbial extraction: * Base form (lemma) * Comparative (wd:Q14169499) and superlative (wd:Q1817208) degrees

5. Prepositions 📍 (query_prepositions.sparql):

   • Optimized existing query structure
   • Enhanced case association extraction (wdt:P5713)

6. Proper Nouns 👤 (query_proper_nouns.sparql):

   • Significantly expanded case paradigm for singular: * Nominative (lemma), Genitive (wd:Q146233), Dative (wd:Q145599) * Accusative (wd:Q146078), Instrumental (wd:Q192997), Locative (wd:Q202142)
   • Crucially added Vocative case (wd:Q185077), essential for direct address in Ukrainian
   • Retained plural nominative (wd:Q131105 + wd:Q146786) and gender (wdt:P5185) extraction

Technical implementation details:

• Utilized OPTIONAL clauses for all non-lemma forms to ensure query robustness
• Implemented consistent use of wikibase:grammaticalFeature for form specification
• Employed REPLACE(STR(?lexeme), "http://www.wikidata.org/entity/", "") for lexeme ID extraction
• Utilized wikibase:label service for human-readable labels where applicable

This enhancement significantly broadens our morphological coverage of Ukrainian, providing a rich dataset for advanced NLP tasks, including but not limited to:

• Morphological analysis and generation
• Named Entity Recognition (NER) with case-sensitive features
• Machine Translation with deep grammatical understanding
• Linguistic research on Ukrainian morphosyntax

I've rigorously tested these queries on the Wikidata Query Service (https://query.wikidata.org/) to ensure optimal performance and accurate results. However, I welcome meticulous review, particularly focusing on:

1. Correctness of Wikidata QIDs for grammatical features
2. Query efficiency and potential for optimization
3. Completeness of morphological paradigms for each part of speech

This pull request represents a significant stride towards a more nuanced and comprehensive representation of Ukrainian in our data pipeline. I'm eager to discuss any suggestions for further refinements or expansions to our linguistic feature set.

Contributor checklist

• [] This pull request is on a separate branch and not the main branch
• [] I have tested my code with the pytest command as directed in the testing section of the contributing guide

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Description

Related issue

• #ISSUE_NUMBER

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[andrewtavis]

Really appreciate the quality of this PR, @Collins-Webdev 😊 Thanks so much for the care you put into the queries. We have a new SPARQL query writing guide that might give you a bit more information to improve, but really a great first PR :)