Eiichiro Sumita
- Artificial Intelligence top 0.2%
- Computer Vision and Pattern Recognition top 1%
- Molecular Biology
- Information Systems top 5%
- Language and Linguistics top 5%
- Co-authors
- Masao UtiyamaAndrew FinchRui WangTaro WatanabeSeiichi YamamotoKehai ChenKenji ImamuraToshiyuki Takezawa
- Topics
- Natural Language Processing Techniques (312 papers)Topic Modeling (273 papers)Speech and dialogue systems (58 papers)
In The Last Decade
Eiichiro Sumita
312 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 97
- Artificial Intelligence 3.8k
- Computer Vision and Pattern Recognition 940
- Molecular Biology 203
- Information Systems 184
- Language and Linguistics 132
Countries citing papers authored by Eiichiro Sumita
This map shows the geographic impact of Eiichiro Sumita's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eiichiro Sumita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiichiro Sumita more than expected).
Fields of papers citing papers by Eiichiro Sumita
This network shows the impact of papers produced by Eiichiro Sumita. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eiichiro Sumita. The network helps show where Eiichiro Sumita may publish in the future.
Co-authorship network of co-authors of Eiichiro Sumita
This figure shows the co-authorship network connecting the top 25 collaborators of Eiichiro Sumita. A scholar is included among the top collaborators of Eiichiro Sumita based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eiichiro Sumita. Eiichiro Sumita is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 13 | |
| 6 | Neural Machine Translation with Universal Visual Representation | 49 |
| 7 | An Empirical Study of Domain Adaptation for Unsupervised Neural Machine Translation. | 2 |
| 8 | 11 | |
| 9 | 21 | |
| 10 | Multi-domain Adaptation for Statistical Machine Translation Based on Feature Augmentation. | 3 |
| 11 | Introducing the Asian Language Treebank (ALT). | 20 |
| 12 | 22 | |
| 13 | Bilingual Lexicon Extraction from Comparable Corpora Using Label Propagation | 42 |
| 14 | Reordering Constraint Based on Document-Level Context | 1 |
| 15 | An Unsupervised Model for Joint Phrase Alignment and Extraction | 47 |
| 16 | Filtering Syntactic Constraints for Statistical Machine Translation | 2 |
| 17 | Chinese word segmentation and statistical machine translation. | 2 |
| 18 | Multilingual Mobile-Phone Translation Services for World Travelers | 9 |
| 19 | Reducing human assessment of machine translation quality to binary classifiers. | 7 |
| 20 | An Example-Based Approach to Transfer and Structural Disambiguation within Machine Translation | 0 |
About Eiichiro Sumita
Eiichiro Sumita is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Language and Linguistics, having authored 333 papers that have together received 4.0k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (312 papers), Topic Modeling (273 papers) and Speech and dialogue systems (58 papers). The work is most often cited by research in Artificial Intelligence (3.8k citations), Computer Vision and Pattern Recognition (940 citations) and Language and Linguistics (132 citations). Eiichiro Sumita has collaborated with scholars based in Japan, China and Myanmar. Frequent co-authors include Masao Utiyama, Andrew Finch, Rui Wang, Taro Watanabe, Seiichi Yamamoto, Kehai Chen, Kenji Imamura, Toshiyuki Takezawa, Lemao Liu and Genichiro Kikui. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing and IEEE Access.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.