Tetsuji Nakagawa
Google (United States)(US)
Publications by Year
Research Areas
Natural Language Processing Techniques, Topic Modeling, Sentiment Analysis and Opinion Mining, Advanced Text Analysis Techniques, Speech Recognition and Synthesis
Most-Cited Works
- Dependency Tree-based Sentiment Classification using CRFs with Hidden Variables(2010)
- → Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection(2018)70 cited
- Unknown Word Guessing and Part-of-Speech Tagging Using Support Vector Machines.(2001)
- → Chinese and Japanese word segmentation using word-level and character-level information(2004)57 cited
- → A hybrid approach to word segmentation and POS tagging(2007)51 cited
- An Empirical Study of Language Relatedness for Transfer Learning in Neural Machine Translation(2017)
- Multilingual Dependency Parsing Using Global Features(2007)
- → Detecting errors in corpora using support vector machines(2002)36 cited
- → Efficient Top-Down BTG Parsing for Machine Translation Preordering(2015)29 cited
- → WISDOM(2009)27 cited