Structural Semantic Correspondence For Example-Based Machine Translation
The main key challenge in Machine Translation (MT) is to preserve the meaning from the original source sentence to the target translation. This remains the core problem in Machine Translation, which leads to a number of issues, such as: how to analyze the meaning of text, what information should be...
Saved in:
| 主要作者: | |
|---|---|
| 格式: | Thesis |
| 出版: |
2016
|
| 主題: | |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|