16 research outputs found
VBD-MT Chinese-Vietnamese Translation Systems for VLSP 2022
We present our systems participated in the VLSP 2022 machine translation
shared task. In the shared task this year, we participated in both translation
tasks, i.e., Chinese-Vietnamese and Vietnamese-Chinese translations. We build
our systems based on the neural-based Transformer model with the powerful
multilingual denoising pre-trained model mBART. The systems are enhanced by a
sampling method for backtranslation, which leverage large scale available
monolingual data. Additionally, several other methods are applied to improve
the translation quality including ensembling and postprocessing. We achieve
38.9 BLEU on ChineseVietnamese and 38.0 BLEU on VietnameseChinese on the public
test sets, which outperform several strong baselines
Enhancement of photocatalytic activity of TIO2 for gaseous toluene removal by simple mechanical mixing with modified zeolite
A zeolite Y was modified by the microwave-assisted method (MWA) for generating mesopores and was mechanically mixed with TiO2 for photocatalytic application. The external surface area, which is represented to the mesopore, was significantly increased about 5 to 10 times in the modified zeolites compared to the parent zeolite. The catalysts were used to catalyze the gas phase photodegradation of toluene, a volatile organic compound (VOC). The photocatalytic activity and stability of the catalyst were improved when the mesoporous zeolite was presented. The mechanical mixture contained 30 wt%. TiO2 and 70 wt%. mesoporous zeolite showed the highest toluene removal efficiency