STREUSLE: a corpus with comprehensive lexical semantic annotation (multiword expressions, supersenses)
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Updated
Jun 1, 2025 - Python
STREUSLE: a corpus with comprehensive lexical semantic annotation (multiword expressions, supersenses)
🚁 German prepositions 🛩 effectively and clearly 🚊 Perfect for A1–B2 learners 🚒 aiming to level 🏰 up their grammar dative 🏕 genitive and two 🏟way prepositions 📘 Includes usage 🏝 rules and visual 🏪 aids common mistakes and 🎠 mini-quizzes for practice 🏭 Real-life sentence 💒 examples to build natural fluency 🚔
Learn meanings behind words is a key element in NLP. This project concentrates on the disambiguation of preposition senses. Therefore, we train a bert-transformer model and surpass the state-of-the-art.
A corpus of supersense-annotated adpositions and case markers in German natural-language text.
Analyze entire paragraphs to gain a comprehensive understanding of the distribution of different parts of speech.
Alternative to lingohelp.me that is used to copy, and is convinient
generates a truth table from a boolean expression
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