Akiko Eriguchi
Microsoft Research Asia (China)(CN)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Text and Document Classification Technologies, Web Data Mining and Analysis
Most-Cited Works
- → Tree-to-Sequence Attentional Neural Machine Translation(2016)253 cited
- → Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling(2019)183 cited
- → Learning to Parse and Translate Improves Neural Machine Translation(2017)143 cited
- → Overview of the 8th Workshop on Asian Translation(2021)110 cited
- → Zero-Shot Cross-lingual Classification Using Multilingual Neural Machine Translation(2018)78 cited
- → Multilingual Extractive Reading Comprehension by Runtime Machine Translation(2018)59 cited
- → XLM-T: Scaling up Multilingual Machine Translation with Pretrained Cross-lingual Transformer Encoders(2020)23 cited
- → Improving Multilingual Translation by Representation and Gradient Regularization(2021)16 cited