A fast and accurate Vietnamese word segmenter
We propose a novel approach to Vietnamese word segmentation. Our approach is based on
the Single Classification Ripple Down Rules methodology (Compton and Jansen, 1990) …
the Single Classification Ripple Down Rules methodology (Compton and Jansen, 1990) …
An empirical study on POS tagging for Vietnamese social media text
Abstract Part-of-speech (POS) tagging is a fundamental task in natural language processing
(NLP). A robust POS tagger plays an important role in most NLP problems and applications …
(NLP). A robust POS tagger plays an important role in most NLP problems and applications …
From word segmentation to POS tagging for Vietnamese
This paper presents an empirical comparison of two strategies for Vietnamese Part-of-
Speech (POS) tagging from unsegmented text:(i) a pipeline strategy where we consider the …
Speech (POS) tagging from unsegmented text:(i) a pipeline strategy where we consider the …
A hybrid approach to Vietnamese word segmentation
Word segmentation is the very first task for Vietnamese language processing. Word-
segmented text is the input of almost other NLP tasks. This task faces some challenges due …
segmented text is the input of almost other NLP tasks. This task faces some challenges due …
Probabilistic ensemble learning for vietnamese word segmentation
W Liu, L Lin - Proceedings of the 37th international ACM SIGIR …, 2014 - dl.acm.org
Word segmentation is a challenging issue, and the corresponding algorithms can be used in
many applications of natural language processing. This paper addresses the problem of …
many applications of natural language processing. This paper addresses the problem of …
[PDF][PDF] Comparing different criteria for Vietnamese word segmentation
Q Nguyen, NLT Nguyen, Y Miyao - … of the 3rd Workshop on South …, 2012 - aclanthology.org
Syntactically annotated corpora have become important resources for natural language
processing due in part to the success of corpus-based methods. Since words are often …
processing due in part to the success of corpus-based methods. Since words are often …
How does dictionary size influence performance of Vietnamese word segmentation?
W Liu, L Wang - … of the Tenth International Conference on …, 2016 - aclanthology.org
Vietnamese word segmentation (VWS) is a challenging basic issue for natural language
processing. This paper addresses the problem of how does dictionary size influence VWS …
processing. This paper addresses the problem of how does dictionary size influence VWS …
Vietnamese word segmentation with SVM: ambiguity reduction and suffix capture
In this paper, we approach Vietnamese word segmentation as a binary classification by
using the Support Vector Machine classifier. We inherit features from prior works such as n …
using the Support Vector Machine classifier. We inherit features from prior works such as n …
A semi-supervised learning method for Vietnamese part-of-speech tagging
This paper presents a semi-supervised learning method for Vietnamese part of speech
tagging. We take into account two powerful tagging models including Conditional Random …
tagging. We take into account two powerful tagging models including Conditional Random …
State-of-the-art Vietnamese word segmentation
SND Cong, QH Ngo… - 2016 2nd International …, 2016 - ieeexplore.ieee.org
Word segmentation is the first step of any tasks in Vietnamese language processing. This
paper reviews state-of-the-art approaches and systems for word segmentation in …
paper reviews state-of-the-art approaches and systems for word segmentation in …