Abstract:
Communication through words is the most e ective way of exchanging information
between people of the same language. But it may prove di cult if there's a language
barrier. The advent of computers provided a solution that is an immediate and
reliable substitute to a dictionary or a translator, the solution is called Machine
Translation(MT). The problem with the common implementation of MT, Statistical
Machine Translation(SMT), is that it requires discrete models that derives a part of
the translation before learning a translation. The usage of Neural Machine Translation
(NMT), removes the need to rely on discrete models to learn a translation. This
special problem uses NMT for Filipino to English bidirectional translations. It also
provides a web service that is easily integrable to mobile and web applications. The
system also allows users to submit translation suggestions. This allows the NMT
system to be improved with new data. The trained NMT models included in this
special problem produces translations that are comparable against the current SMT
used for Filipino to English bidirectional translations.
