Taku Kudo
Publications by Year
Research Areas
Natural Language Processing Techniques, Topic Modeling, Text and Document Classification Technologies, Algorithms and Data Compression, Data Mining Algorithms and Applications
Most-Cited Works
- → Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation(2016)5,642 cited
- Applying Conditional Random Fields to Japanese Morphological Analysis(2004)
- → Chunking with support vector machines(2001)533 cited
- → Japanese dependency analysis using cascaded chunking(2002)479 cited
- → SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing(2018)286 cited
- → Fast methods for kernel-based text analysis(2003)207 cited
- A Boosting Algorithm for Classification of Semi - Structured Text(2004)
- → gBoost: a mathematical programming approach to graph classification and regression(2008)136 cited
- → Japanese dependency structure analysis based on support vector machines(2000)135 cited
- An Application of Boosting to Graph Classification(2004)