This paper presents the implementation of the Vietnamese generation module in ITS3, a multilingual machine translation (MT) system based on the Government & Binding (GB) theory. Despite well-designed generic mechanisms of the system, it turned out that the task of generating Vietnamese posed non-trivial problems. We therefore had to deviate from the generic code and make new design and implemen...

This paper details the experiments conducted to train an as good performing Vietnamese speech recognition system as possible using public domain data only, as a part of the Zero Cost task at MediEval 2016. We explored techniques related to audio preprocessing, use of speaker’s pitch information, data perturbation, for building subspace Gaussian mixture acoustic model which is known for estimati...

This paper explores and analyses similarities and differences in ICT curricula, policies, and assessment between the Vietnamese and Australian educational systems for the final years of secondary educational level. It was found that while having a common core set of tendencies, the Australian ICT curricula, policies, and assessments differ markedly from the Vietnamese counterparts. These differ...

Bilingual corpora play an important role as resources not only for machine translation research and development but also for studying tasks in comparative linguistics. Manual annotation of word alignments is of significance to provide a gold-standard for developing and evaluating machine translation models and comparative linguistics tasks. This paper presents research on building an English-Vi...

last editorial of the asia pacific journal of medical toxicology addressed the important role of poison control centers in the improvement of public health (1). in vietnam, poison control center (pcc) of bach mai hospital has been the only national one for civilians. the establishment and activities of this center can be considered as one of the pioneers in the east asia. history and setting (2...

In this paper, we represent an empirical study of multipass decoding for Vietnamese LVCSR. We report our experiments with N-best, lattice and consensus decoding on the VNBN data. Results from this study indicate that our acoustic model for Vietnamese was precise. The results could be investigated in further steps to improve the performance of our system. Index Terms Vietnamese, Acoustic Model, ...

This paper presents an overview of our activities for building a Large Vocabulary Continuous Speech Recognition (LVCSR) system for Vietnamese implemented at CLIPS-IMAG Laboratory (France) and International Research Center MICA (Vietnam). Firstly, a new methodology for fast text corpora acquisition for minority languages which has been applied to Vietnamese is proposed. Secondly, the first resul...

In order to build an automatic named entity recognition (NER) system using a machine learning approach, a large tagged corpus is widely seen as one necessary knowledge resource. Nevertheless, manual construction is time consuming, labor intensive and expensive. Building NER corpora for European languages has been extensively studied while some less-studied languages such as Vietnamese have not ...

This paper demonstrates end-to-end neural network architectures for Vietnamese named entity recognition. Our best model is the combination of bidirectional Long ShortTerm Memory (Bi-LSTM), Convolutional Neural Network (CNN), Conditional Random Field (CRF), using pre-trained word embeddings as input, which achieves an F1 score of 88.59% on a standard test set. Our system is able to achieve a com...