Phuoc Tran

Sublemma‐Based Neural Machine Translation

2021 · Complexity

Powerful deep learning approach frees us from feature engineering in many artificial intelligence tasks. The approach is able to extract efficient representations from the input data, if the data are large enough. Unfortunately, it is …

A Method of Chinese-Vietnamese Bilingual Corpus Construction for Machine Translation

2022 · IEEE Access

A bilingual corpus is vital for natural language processing problems, especially in machine translation. The larger and better quality the corpus is, the higher the efficiency of the resulting machine translation is. There are two …

A Character Level Based and Word Level Based Approach for Chinese-Vietnamese Machine Translation

2016 · Computational Intelligence and Neuroscience

Chinese and Vietnamese have the same isolated language; that is, the words are not delimited by spaces. In machine translation, word segmentation is often done first when translating from Chinese or Vietnamese into different languages …

Word Re-Segmentation in Chinese-Vietnamese Machine Translation

2016 · ACM Transactions on Asian and Low-Resource Language Information Processing

In isolated languages, such as Chinese and Vietnamese, words are not separated by spaces, and a word may be formed by one or more syllables. Therefore, word segmentation (WS) is usually the first process that …