An equal opportunity for all is the basic right of every human being. The deaf society of the
world needs to have access to all the information just like hearing people do. For this to …

We present an easy-to-use and fast toolkit, namely VnCoreNLP---a Java NLP annotation
pipeline for Vietnamese. Our VnCoreNLP supports key natural language processing (NLP) …

Convolutional neural network (CNN) and Long Short Term Memory (LSTM) have shown the
state of the art results for sentiment analysis in English corpus. However, there are not many …

Students' feedback is a vital resource for the interdisciplinary research combining of two
fields: sentiment analysis and education. To strengthen the sentiment analysis of the …

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) …

This paper introduces our project for developing Asian Language Treebank (ALT). The ALT
project aims to advance the state-of-the-art Asian natural language processing (NLP) …

Treebank is an important resource for both research and application of natural language
processing. For Vietnamese, we still lack such kind of corpora. This paper presents up-to …

The translation quality of machine translation systems depends on the parallel corpus used
for training, particularly on the quantity and quality of the corpus. However, building a high …

This paper demonstrates end-to-end neural network architectures for Vietnamese named
entity recognition. Our best model is a combination of bidirectional Long Short-Term Memory …

This paper proposes a method of linguistic classification based on the analysis of positive,
negative and neutral sentiments expressed within text written in Vietnamese and English. It …