Bangla language textual image description by hybrid neural network model Article Swipe
Md. Asifuzzaman Jishan
,
Khan Raqib Mahmud
,
Abul Kalam Al Azad
,
Mohammad Rifat Ahmmad Rashid
,
Bijan Paul
,
Md Shahabub Alam
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.11591/ijeecs.v21.i2.pp757-767
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.11591/ijeecs.v21.i2.pp757-767
Automatic image captioning task in different language is a challenging task which has not been well investigated yet due to the lack of dataset and effective models. It also requires good understanding of scene and contextual embedding for robust semantic interpretation of images for natural language image descriptor. To generate image descriptor in Bangla, we created a new Bangla dataset of images paired with target language label, named as Bangla Natural Language Image to Text (BNLIT) dataset. To deal with the image understanding, we propose a hybrid encoder-decoder model based on encoder-decoder architecture and the model is evaluated on our newly created dataset. This proposed approach achieves significance performance improvement on task of semantic retrieval of images. Our hybrid model uses the Convolutional NeuralNetwork as an encoder whereas the Bidirectional Long Short Term Memory is used for the sentence representation that decreases the computational complexities without trading off the exactness of the descriptor. The model yielded benchmark accuracy in recovering Bangla natural language and we also conducted a thorough numerical analysis of the model performance on the BNLIT dataset.
Related Topics
Concepts
Computer science
Bengali
Artificial intelligence
Benchmark (surveying)
Natural language processing
Task (project management)
Encoder
Convolutional neural network
Image (mathematics)
Natural language
Sentence
Language model
Pattern recognition (psychology)
Speech recognition
Geography
Operating system
Geodesy
Management
Economics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.11591/ijeecs.v21.i2.pp757-767
- http://ijeecs.iaescore.com/index.php/IJEECS/article/download/22296/14676
- OA Status
- diamond
- Cited By
- 11
- References
- 45
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3082768058
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3082768058Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.11591/ijeecs.v21.i2.pp757-767Digital Object Identifier
- Title
-
Bangla language textual image description by hybrid neural network modelWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-01-06Full publication date if available
- Authors
-
Md. Asifuzzaman Jishan, Khan Raqib Mahmud, Abul Kalam Al Azad, Mohammad Rifat Ahmmad Rashid, Bijan Paul, Md Shahabub AlamList of authors in order
- Landing page
-
https://doi.org/10.11591/ijeecs.v21.i2.pp757-767Publisher landing page
- PDF URL
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https://ijeecs.iaescore.com/index.php/IJEECS/article/download/22296/14676Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://ijeecs.iaescore.com/index.php/IJEECS/article/download/22296/14676Direct OA link when available
- Concepts
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Computer science, Bengali, Artificial intelligence, Benchmark (surveying), Natural language processing, Task (project management), Encoder, Convolutional neural network, Image (mathematics), Natural language, Sentence, Language model, Pattern recognition (psychology), Speech recognition, Geography, Operating system, Geodesy, Management, EconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
11Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 4, 2022: 4, 2021: 3Per-year citation counts (last 5 years)
- References (count)
-
45Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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