There are two main topics in this paper: (i) Vietnamese words are recognized and sentences are segmented into words by using probabilistic models;�...
Word recognition and segmentation of a given sentence into words are important steps in many applications of natural language processing such as text mining,.
There are two main topics in this paper: (i) Vietnamese words are recognized and sentences are segmented into words by using probabilistic models;�...
There are two main topics in this paper: (i) Vietnamese words are recognized and sentences are segmented into words by using probabilistic models;�...
There are two main topics considered in this paper: (i) Vietnamese words are recognized and sentences are segmented into words by using.
Mar 24, 2010 � There are two main topics in this paper: (i) Vietnamese words are recognized and sentences are segmented into words by using probabilistic�...
Word segmentation is an important problem in natural language processing. Most of previous works on Vietnamese word segmentation are supervised learning.
Missing: Approach Recognition
This work proposes a method of word segmentation for Vietnamese, which only uses n-gram information, and builds a 10M-word corpus of two year newspaper�...
We then proposed a Vietnamese word segmentation processing technology based on an improved long short-term memory neural network (LSTM).
Missing: Unsupervised | Show results with:Unsupervised
An unsupervised learning and statistical approach for vietnamese word recognition and segmentation. H Le Trung, V Le Anh, K Le Trung. Asian Conference on�...