… of the individual and massive MT systems. Even when the … for further research, together
with optimising the k number of … perform a parameter sweep between 0.5 and 1.0 using 0.05 …

… Engineering a language-independent MT system that can … The parameters are optimized
using genetic algorithms (… turning parallel and monolingual corpora into distinct MT models that …

… system is constructed using machine learning algorithms to … on increasing the users’
willingness to use the MT system. … time the model parameters are updated, the algorithm …

… system using only the monolingual and parallel MT corpora. … of our APE systems on the
state-of-the-art MT systems, we also … We tuned each parameter of the noise and combined them …

… The optimization of hyper-parameters basically referred to as … a Sinhala monolingual corpus
with 10M words and a Tamil … Moreover, by employing a random search of hyper parameters …

… and testing new Arabic MT systems. Furthermore, the survey … , SMT systems are built
automatically using monolingual and … NMT models while using significantly fewer parameters. For …

… -parameters, most often with manual tuning and random search or grid search [16]. Apart from
that, other methods, such as Bayesian optimization [17], genetic algorithms [… also using the …

… that incorporate language information or parameter sharing: (1) … of 5 × 10−4, we optimize
models with Adam using (β1,β2,ϵ) … routing is a crucial hyper-parameter in our SMoE due to its …

… which we adapt general domain MT systems to this domain. … using general domain corpora
to obtain translation systems … Thus, we must optimize the set of parameters in the space of …

… via joint optimization of parallel and monolingual objectives, with … The argument in favor of
the former is that, since we are … to the language of interest using a MT system. This (noisy) data …