Self Learning

AbstractIn this paper we report a way of constructing a translation corpus that contains not only source and target texts, but draft and final versions of target texts, through the …...

. This work is motivated by the will of creating a new part-of-speech annotated corpus in French from an existing one. We propose a general and operational definition of the …...

State of the art statistical machine translation systems are typically trained by symmetrizing word alignments in two translation directions. We introduce a new method that improves word alignment results, based …...

AbstractUnsupervised Bilingual Dictionary Induction methods based on the initialization and the self-learning have achieved great success in similar language pairs, e.g., English-Spanish. But they still fail and have an accuracy …...

AbstractAbstract Meaning Representation (AMR) parsing has experienced a notable growth in performance in the last two years, due both to the impact of transfer learning and the development of novel …...

AbstractAMR parsing has experienced an unprecendented increase in performance in the last three years, due to a mixture of effects including architecture improvements and transfer learning. Self-learning techniques have also …...