Laskar, Sahinur RahmanPakray, ParthaBandyopadhyay, SivajiNeural machine translation (NMT) is a state-of-the-art technique in the task of machine translation (MT), where a source-language text is converted into a target language text while preserving its meaning. NMT attracts attention because ...
As far as we can do in the rule-based approach is to give a default rule to pick up a corresponding classifier of each noun. Registration of classifier for each noun is limited to the type of unit classifier because other types are open due to the meaning of representation. We propose ...
It is a very challenging task to manipulate, organize, and categorize an enormous amount of web text data in manually. This paper proposes an automatic text categorization framework to classify Bengali web text data using deep learning. The proposed framework comprises of three key constituents: ...
Bengali is one of the usable languages in the world. Therefore, conversion of Bengali to other language is very essential for people. The translator is a way to understand the meaning of different language. But sometimes the translator does not provide the accurate Bengali translation for the ...
The goal of the Bengali text classification is to assign a particular category to a text into one of the pre-defined categories based on its semantic and syntactic meaning. The proposed system comprises of four key modules: embedding model generation, Text to feature representation, training, and...
Each word of the MWE has a specific meaning and it is different from the collective meaning of MWEs. Different types of MWEs exist in the Punjabi language. 3.3.1. Replicated Words The Punjabi language has replicated words that can be treated as MWEs. The replicated word may contain a ...
Although the characters were different, the meanings were actually very similar, that is, only because the spoken language in different scenarios will be a little different, even if when translated into English it has basically a similar meaning. However, when evaluating the translation results, we...
Ideogram-base traffic signs use simple ideographs to express the meaning while the text-based traffic sign expression contains text with other symbols such as arrows. The Malaysian traffic sign database [64,65] consists of 100 classes of traffic sign used in Malaysia. Some examples have been ...