Image Captioning using CLIP and Marian
How we combined CLIP and Marian to build an image captioning model for Indonesian.
Image Captioning using CLIP and Marian
How we combined CLIP and Marian to build an image captioning model for Indonesian.
Indonesian Automatic Speech Recognition
Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text.
Indonesian GPT2 and Its Applications
Building this static site generator theme was the first time I used an Atomic (or Functional) CSS system like Tachyons. It’s a design system that provides very small (which means fast) CSS modules that you can use in your HTML.
Indonesian GPT2 and Its Applications
Building this static site generator theme was the first time I used an Atomic (or Functional) CSS system like Tachyons. It’s a design system that provides very small (which means fast) CSS modules that you can use in your HTML.
Indonesian Language Model
Language Model is a model that computes probability of a sentence (sequence of words) or the probability of a next word in a sequence.
Indonesian Machine Translation
Machine Translation is the task of automatically converting one natural language into another, preserving the meaning of the input text, and producing fluent text in the output language.
Indonesian Question Answering
Building Systems that automatically answer questions posed by humans in a natural language
Indonesian Text Classification
Text Classification is the processing of labeling or organizing text data into groups. It forms a fundamental part of Natural Language Processing.
Indonesian Text Summarization
The task of producing a shorter version of one or several documents that preserves most of the input's meaning
Indonesian Text2Text Generation
The task of producing a shorter version of one or several documents that preserves most of the input's meaning
Indonesian Token Classification
The Token classification Task is similar to text classification, except each token within the text receives a prediction. A common use of this task is Named Entity Recognition (NER).
Javanese Automatic Speech Recognition
Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text.
Javanese Language Model
Language Model is a model that computes probability of a sentence (sequence of words) or the probability of a next word in a sequence.
Javanese Machine Translation
Machine Translation is the task of automatically converting one natural language into another, preserving the meaning of the input text, and producing fluent text in the output language.
Javanese Text Classification
Text Classification is the processing of labeling or organizing text data into groups. It forms a fundamental part of Natural Language Processing.
Javanese Token Classification
The Token classification Task is similar to text classification, except each token within the text receives a prediction. A common use of this task is Named Entity Recognition (NER).
Sundanese Automatic Speech Recognition
Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text.
Sundanese Language Model
Language Model is a model that computes probability of a sentence (sequence of words) or the probability of a next word in a sequence.
Sundanese Machine Translation
Machine Translation is the task of automatically converting one natural language into another, preserving the meaning of the input text, and producing fluent text in the output language.
Sundanese Text Classification
Text Classification is the processing of labeling or organizing text data into groups. It forms a fundamental part of Natural Language Processing.
Sundanese Token Classification
The Token classification Task is similar to text classification, except each token within the text receives a prediction. A common use of this task is Named Entity Recognition (NER).