… was developed and used to train the different models of NMT. Punjabi is a low-resource
language as it lacks the availability of a large parallel corpus for building various NLP tools, and …

… Neural networks for multi-word expression detection. In Proceedings of the 13th Workshop
on Multiword Expressions (MWE 2017), pages 60–65. Koehn, P., Hoang, H., Birch, A., …

… taken from several sources (websites, magazine.etc) to be translated automatically (Google) …
The Sixth hypothesis says: Machine translation will face challenges in translating multi word …

… Multi-word expressions (MWEs) are a hot topic in research in natural language processing
(… MWEs in other NLP fields such as Machine Translation. However, the availability of bilingual …

… in terms of text sources, types and language varieties. In spite of the … Detection of verbal
multi-word expressions via conditional … Multiword units in machine translation and technology. In …

… resources, our goals in this article are: (1) to analyze MWT translation in various generic
MT systems; (2) to develop a … on Multi-word Units in Machine Translation and Translation …

… agree with me that gamers are a human resource that we can use to do real-world work →
… the concept of translation asymmetries of multiword expressions in Machine Translation with …

… NLP resources, methods, and tools can help in the development of … and easily available
lexical resources and tools exist (… use English resources, in order to facilitate the development …

… translated using the interlingual machine translation approach. The sentences in source
language are analysed and each word or multi-word … language resources development process. …

… to be improved as more language pairs are added. … to process recursive structures at
the structural transfer stage, a module that deals with contiguous and discontiguous multi-word …