One of the major challenges that under-represented and endangered language
communities face in language technology is the lack or paucity of language data. This is …

Neural machine translation (NMT) systems exhibit limited robustness in handling source-
side linguistic variations. Their performance tends to degrade when faced with even slight …

Machine translation is the task of translating texts from one language to another using
computers. It has been one of the major tasks in natural language processing and …

Large and organized sets of translated texts between languages are called parallel
translation corpora (PTLs). Even though data-driven learning can generate insights from …

Kurdish, an Indo-European language spoken by over 30 million speakers, is considered a
dialect continuum and known for its diversity in language varieties. Previous studies …

Kurdish libraries have many historical publications that were printed back in the early days
when printing devices were brought to Kurdistan. Having a good Optical Character …

Many facts change over time, which is a fundamental aspect of our physical environment. In
the case of pandemic articles, the user is not interested in the creation date of the document …

Model data-driven ontology and knowledge presentation for evolving semantic Asian social
networks (OK-ASN) is a critical strategy for web of things (WoT) services. Meanwhile, Deep …

Speech is the most natural method for people to convey emotions and communicate.
Traditional input techniques are used for machine communication. Communication across …

While the computational processing of Kurdish has experienced a relative increase, the
machine translation of this language seems to be lacking a considerable body of scientific …