← Back to papers
2018 CONLL CoNLL 2018

DIMSIM: An Accurate Chinese Phonetic Similarity Algorithm Based on Learned High Dimensional Encoding

🌉 Interdisciplinary Bridge — Interdisciplinary and Machine Learning and Natural Language Processing
🧭 Keyword Pioneer — phoneme mapping
🐝 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

Authors

Min Li , Marina Danilevsky , Sara Noeman , Yunyao Li

Topics

Machine Learning > Core Methods > Representation Learning Machine Learning > Core Methods > Metric Learning Natural Language Processing > Resources & Methods > Lexical Semantics Natural Language Processing > Resources & Methods > Multilingual NLP Interdisciplinary > Linguistics > Phonetics

Keywords

text representation phoneme mapping phonetic similarity chinese pinyin high dimensional encoding chinese phonetics pinyin encoding
Download PDF

Related papers

A Unified Neural Network Model for Geolocating Twitter Users 2018
Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text? 2018
Uncovering Divergent Linguistic Information in Word Embeddings with Lessons for Intrinsic and Extrinsic Evaluation 2018
Predefined Sparseness in Recurrent Sequence Models 2018
Upcycle Your OCR: Reusing OCRs for Post-OCR Text Correction in Romanised Sanskrit 2018