State-of-the-Art Vietnamese Word Segmentation
It addresses the foundational step for Vietnamese language processing tasks, but is incremental as it primarily reviews existing work.
This paper reviews state-of-the-art approaches and systems for Vietnamese word segmentation, discussing corpus building, methods, and toolkits, and reports achievements and limitations in existing systems.
Word segmentation is the first step of any tasks in Vietnamese language processing. This paper reviews stateof-the-art approaches and systems for word segmentation in Vietnamese. To have an overview of all stages from building corpora to developing toolkits, we discuss building the corpus stage, approaches applied to solve the word segmentation and existing toolkits to segment words in Vietnamese sentences. In addition, this study shows clearly the motivations on building corpus and implementing machine learning techniques to improve the accuracy for Vietnamese word segmentation. According to our observation, this study also reports a few of achivements and limitations in existing Vietnamese word segmentation systems.