Browsing by Author "Faysal, Fahim"

Now showing 1 - 3 of 3

Automatic Machine Translation for Bangla and English Resolving Ambiguities
(Scopus, 2021) Ohidujjaman; Faysal, Fahim; Sumon, Shams; Huda, Mohammad Nurul
The strategic borderless knowledge sharing and development of communication interacts with dialects. Significant factors such as education, medical, business, research and others are vastly diffused over the world based on various lingoes. Bilingual or multilingual expression is the standard of having unknown/new linguistic along with its resources. The initial endeavor of the study is to implement the MT (machine translation) approaches for English to Bangla language processing and vice-versa. The emphasis of the study is the distinct ambiguities are identified along with their best solutions. Certain machine translation approaches such as word-to-word, direct, transfer, interlingua, corpus-based and statistical translation are surviving and, few of them are deployed in this Smart Natural Language Processing (SNLP) for dispatching the source to the target language and vice-versa. Two different dictionaries (bilingual and monolingual) are developed for the execution process. An eminent resource Stanford POS Tagger (as a toolkit) is used for identifying the grammatical structure of the source (English) dialect. This research also focuses on output acquiring through performance analyzing of different translation models.
Automatic Machine Translation for Bangla and English Resolving Ambiguities
(2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), IEEE, 2021-01) Ohidujjaman; Faysal, Fahim; Sumon, Shams; Huda, Mohammad Nurul
The strategic borderless knowledge sharing and development of communication interacts with dialects. Significant factors such as education, medical, business, research and others are vastly diffused over the world based on various lingoes. Bilingual or multilingual expression is the standard of having unknown/new linguistic along with its resources. The initial endeavor of the study is to implement the MT (machine translation) approaches for English to Bangla language processing and vice-versa. The emphasis of the study is the distinct ambiguities are identified along with their best solutions. Certain machine translation approaches such as word-to-word, direct, transfer, interlingua, corpus-based and statistical translation are surviving and, few of them are deployed in this Smart Natural Language Processing (SNLP) for dispatching the source to the target language and vice-versa. Two different dictionaries (bilingual and monolingual) are developed for the execution process. An eminent resource Stanford POS Tagger (as a toolkit) is used for identifying the grammatical structure of the source (English) dialect. This research also focuses on output acquiring through performance analyzing of different translation models.
BD Doctors AID
(Daffodil International University, 2024-01-25) Faysal, Fahim
The web-based project I am working on is called “BD DOCTORS AID”. Through this website, people can easily search for the required specialties in their nearby area and get the list of doctors in that area. Through this website, people can easily see all the information of the doctor. Users or patients who want to use this website must first log in to this website. Then all the people's information will be saved in the database. This information can be seen by the admin and doctor. By going to the doctor list, the user or patient can see the list of all doctors. Next to each doctor's name is his email and his specialties. The event has two options one is view and the other is session. If you go into the view, the doctor's name, address, and mobile number will show. During the session, the doctor I am seeing will show all the schedules of the doctor. The schedule includes the day and time each doctor has a session to see the patient. Users or patients can easily book the doctor's session by clicking on the book option from here. The user will have many options when he wants to see the doctor. The user can fix the schedule with the doctor of his choice for the total sessions of his choice. If you go to the booking, the user can see when and what time the doctor has a booking with him. And he can cancel it if he wants. Admin will input the doctor and set his schedule. Admin will have information about all doctor's appointments with the user. Admin can cancel those events if he wants. The doctor can only see his schedule and when he has appointments with the user. A doctor can cancel his sessions and appointments if he is busy for any reason.