Findings of the 2022 Conference on Machine Translation (WMT22)

International audienceThis paper presents the results of the General Machine Translation Task organised as part of the Conference on Machine Translation (WMT) 2022. In the general MT task, participants were asked to build machine translation systems for any of 11 language pairs, to be evaluated on test sets consisting of four different domains. We evaluate system outputs with human annotators using two different techniques: reference-based direct assessment and (DA) and a combination of DA and scalar quality metric (DA+SQM)

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Interest Rates and Domestic Borrowing Costs in the Medium-Term Perspective

The study was aimed at forecasting interest rates of the Russian government securities. The system of simultaneous equations was constructed, including as endogenous variables GKO interest rate, interest rate for Russian currency securities, Central Bank refinancing rate, and expected exchange rate. The model’s accuracy proved to be fairly high on historic data. It was found that ‘market integration’ was increasing over the period, and this growth accounts for 2/3 of the observed decline in the GKO interest rates from 1995 to 1997. Though the model provides good description of the interest rates before the financial crisis, its performance during the crisis period deserves further analysis.interest rates; financial market(s); GKO; domestic debt