Taro Watanabe
Biographic Data
| ID | 6536863 |
|---|---|
| NAME | Taro Watanabe |
| GIVEN NAMES | Taro |
| FAMILY NAME | Watanabe |
| SIGNATURE | WATANABE T |
| AFFILIATIONS | Nara Institute of Science and Technology. [email protected] |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Rethinking Evaluation in Simultaneous Speech Translation
Overcoming the trade-off between quality and latency is a challenge in simultaneous speech translation. Common approaches in previous works have been to segment the source sentence or align target sentences with the source’s syntax as closely as possible, enabling faster translations while maintaining quality. However, a major limitation in these studies is the reliance on existing translation test data, which often include reordering and are uns…
Optimization for Statistical Machine Translation
In statistical machine translation (SMT), the optimization of the system parameters to maximize translation accuracy is now a fundamental part of virtually all modern systems. In this article, we survey 12 years of research on optimization for SMT, from the seminal work on discriminative models (Och and Ney 2002) and minimum error rate training (Och 2003), to the most recent advances. Starting with a brief introduction to the fundamentals of SMT …
No prominent works on this page.
Optimization for Statistical Machine Translation
In statistical machine translation (SMT), the optimization of the system parameters to maximize translation accuracy is now a fundamental part of virtually all modern systems. In this article, we survey 12 years of research on optimization for SMT, from the seminal work on discriminative models (Och and Ney 2002) and minimum error rate training (Och 2003), to the most recent advances. Starting with a brief introduction to the fundamentals of SMT …
Rethinking Evaluation in Simultaneous Speech Translation
Overcoming the trade-off between quality and latency is a challenge in simultaneous speech translation. Common approaches in previous works have been to segment the source sentence or align target sentences with the source’s syntax as closely as possible, enabling faster translations while maintaining quality. However, a major limitation in these studies is the reliance on existing translation test data, which often include reordering and are uns…
Machine translation (2 works) · Natural Language Processing Techniques (2 works) · Topic Modeling (2 works) · Algorithm (1 work) · Algorithms and Data Compression (1 work) · Artificial Intelligence (1 work) · Computer Science (1 work) · Discriminative model (1 work) · Machine learning (1 work) · Margin (machine learning (1 work)