Papers with fuzzy matching

3 papers
Sanskrit Voyager: Unified Web Platform for Interactive Reading and Linguistic Analysis of Sanskrit Texts (2025.emnlp-demos)

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Challenge: Sanskrit Voyager enables users to search for words and phrases as they actually appear in texts . evaluation shows over 92% parsing accuracy on complex compounds compared to BuddhaNexus .
Approach: Sanskrit Voyager is a web application for searching, reading and analyzing the Sanskrt literary corpus.
Outcome: Sanskrit Voyager is a web application for searching, reading, and analyzing the Sanskrt literary corpus.
Boosting Neural Machine Translation with Similar Translations (2020.acl-main)

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Challenge: Statistical Machine Translation and fuzzy matching are completely different in their finality.
Approach: They propose to use fuzzy matching to train neural machine translation to make use of similar translations, in a similar way a human translator employs fuzzy matches.
Outcome: The proposed methods improve translation accuracy and fine-tuned model for unseen translation pairs.
PyraMathBench: Evaluating and Improving Mathematical Capability in Large Language Models (2026.findings-acl)

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Challenge: Numerical reasoning is ubiquitous in scientific research and financial analysis, but few benchmarks evaluate them by integrating numerical processing and mathematical reasoning.
Approach: They propose a numerically-integrated hierarchical benchmark with 27,215 questions derived from 7,404 math word problems that spans 4 key cognitive aspects, 14 subcategories, and 2 modalities.
Outcome: The proposed model improves Qwen-2.5 score with SOLVE and IRPO training.

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