2016
COLING
COLING 2016
Word Segmentation in Sanskrit Using Path Constrained Random Walks
Abstract
AbstractIn Sanskrit, the phonemes at the word boundaries undergo changes to form new phonemes through a process called as sandhi. A fused sentence can be segmented into multiple possible segmentations. We propose a word segmentation approach that predicts the most semantically valid segmentation for a given sentence. We treat the problem as a query expansion problem and use the path-constrained random walks framework to predict the correct segments.
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Interdisciplinary Bridge
- Interdisciplinary and Natural Language Processing
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Trend Setter
- Morphology
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Keyword Pioneer
- semantic validity
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Hot Topic Early Bird
- word segmentation
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Cross-Pollinator
- Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio