Text Classification methods have been improving at an unparalleled speed in the last
decade thanks to the success brought about by deep learning. Historically, state-of-the-art …

This paper describes an approach to enhance statistical machine translation. This approach
uses a two-phase decoder system; the first decoder which we call the initial decoder …

This research aims to teach the basics of Arabic syntactic analysis for native and non-native
speakers of Arabic. In this research, we apply the structural linguistic approach through …

This research aims to teach the basics of Arabic syntactic analysis for native and non-native
speakers of Arabic. In this research, we apply the structural linguistic approach through …

Languages such as English need to be morphologically analyzed in translation into
morphologically rich languages such as Persian. Analyzing the output of English to Persian …

Abstract Machine translation is a very important field in Natural Language Processing. The
need for machine translation arises due to the increasing amount of data available online …

Abstract MorphologicallycomplexlanguagessuchasA… NaturalLanguageProcessing (NLP)
duetotheircomplexityandtokensparsity. Mosttechniquesapproachtheproblembytran… languagefromtheirsparsesurfaceformrepres …

When translating into a morphologically complex language, segmenting the target language
can reduce data sparsity, while introducing the complication of desegmenting the system …