(3RS) S [1 (3 Chloro­phen­yl) 2 oxopyr­rolidin 3 yl] N,N′ di­methyl­thio­uronium bromide

Solferino, Nazaria and Solferino, Viviana and Taurino, SerenaFiona. University of Calabria, University of Calabria, University of Rome

• German → English: We have used 20M sen- tences from our WMT18 submission ( Iranzo- S´anchez et al. , 2018 ), and an additional 24M sentences generated using a system with the

This paper takes into account a wide range of potential driving forces of the exchange rate level and volatility of Bitcoin in an EGARCH framework, first, to explore to what degree

We present a simple method to incorporate syntactic information about the target lan- guage in a neural machine translation sys- tem by translating into linearized, lexical-

However, this can become a nightmare if skill demand and supply in the labour market do not match, keeping large portion of the working age population out of

tend to discuss similar topics and use similar words than non-friends. In other words, we be- lieve that a cold start user’s language model can be enriched and

As long as their scientific results can be phrased in terms of semantic similarities or inference rules, the EOP platform can be used as a simple and stan- dardized workbench for

Empirical evidence is presented that the common factor produces smaller pricing errors than other well known factors, such as innovations of exchange rate volatility and the