This paper describes Meteor++ 2.0, our submission to the WMT19 Metric Shared Task. The well known Meteor metric improves machine translation evaluation by introducing paraphrase knowledge. However, it only focuses on the lexical level and utilizes consecutive n-grams paraphrases. In this work, we take into consideration syntactic level paraphrase knowledge, which sometimes may be skip-grams. We describe how such knowledge can be extracted from Paraphrase Database (PPDB) and integrated into Meteor-based metrics. Experiments on WMT15 and WMT17 evaluation datasets show that the newly proposed metric outperforms all previous versions of Meteor.
The anti-inflammatory effect of sodium houttuyfonate (SH), an herbal-originated drug that used in China clinically, was investigated on chronic obstructive pulmonary disease (COPD) inflammatory model rats induced by combination usage of cigarette smoke (CS) and lipopolysaccharide (LPS). The morphology of the lung tissue, the expression levels of cytokines in the bronchoalveolar lavage fluid (BALF), the protein levels of TLR4, NF-κB p65, and SIGIRR, and the mRNA levels of TLR4, MyD88, NF-κB p65, and SIGIRR in lung tissues were investigated, respectively. After treated by SH (24.3 mg/kg), the abnormal morphology changes of lung tissues in COPD rats, such as neutrophil infiltration and airway obstruction, were considerably alleviated, as well as both proinflammatory cytokines, TNF-α and IL-1β, significantly decreased in BALF. The mRNA level of TLR4, MyD88, and NF-κB p65 and protein expression of TLR4 and NF-κB p65 in lung tissues decreased significantly after SH treatment, while both SIGIRR mRNA and protein levels increased significantly. These results suggest that SH markedly attenuated the pulmonary inflammation induced by CS and LPS and protected the lung tissue in COPD model rat. The anti-inflammatory effects were related to suppress the TLR4/NF-κB pathway dependent on MyD88. TIR8/SIGIRR might contribute to the protective effects of SH on pulmonary inflammation.
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