# Research Publications

> Public Grayhat research publications archive.

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## Public Page Details

- Lists publication metadata sourced from the committed research-publication-sources.json file.
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## Current Page Content

### [A Multilingual Python Programming Language](https://grayhat.studio/fr-FR/research/publications/multilingual-python-programming-language)

- ID: `scholar-multilingual-python`
- Slug: multilingual-python-programming-language
- Authors: Saad Ahmed Bazaz, Mirza Omer Beg
- Year: 2025
- Type: Paper
- Area: Programming Languages
- Venue: arXiv preprint arXiv:2510.09591
- Hero Summary: A Multilingual Python Programming Language is rendered on the Grayhat research archive from curated Grayhat publication metadata, with paper details sourced from arXiv preprint arXiv:2510.09591 (2025).
- Links: [Original Source](https://arxiv.org/abs/2510.09591), [PDF](https://arxiv.org/pdf/2510.09591), [Google Scholar](https://scholar.google.com/citations?view_op=view_citation&hl=en&user=mrJo09oAAAAJ&citation_for_view=mrJo09oAAAAJ:9yKSN-GCB0IC)
- Abstract: All widely used and useful programming languages have a common problem. They restrict entry on the basis of knowledge of the English language. The lack of knowledge of English poses a major hurdle to many newcomers who do not have the resources, in terms of time and money, to learn the English language. Studies show that people learn better in their own language. Therefore, we propose a language transpiler built on top of the Python programming language, called UniversalPython, which allows one to write Python in their own human language. We demonstrate the ability to create an Urdu Python with this transpiler. In the future, we aim to scale the language to encapsulate more human languages to increase the availability of programming. The source code for this transpiler is open-source, and available at https://github.com/universalpython/universalpython.

### [Automated dubbing and facial synchronization using deep learning](https://grayhat.studio/fr-FR/research/publications/automated-dubbing-facial-synchronization-deep-learning)

- ID: `scholar-automated-dubbing`
- Slug: automated-dubbing-facial-synchronization-deep-learning
- Authors: Saad A Bazaz, AbdurRehman Subhani, Syed ZA Hadi
- Year: 2022
- Type: Paper
- Area: Applied Research
- Venue: 2022 2nd International Conference on Artificial Intelligence (ICAI)
- Hero Summary: Automated dubbing and facial synchronization using deep learning is rendered on the Grayhat research archive from curated Grayhat publication metadata, with paper details sourced from 2022 2nd International Conference on Artificial Intelligence (ICAI) (2022).
- Links: [Original Source](https://ieeexplore.ieee.org/abstract/document/9773697/), [Google Scholar](https://scholar.google.com/citations?view_op=view_citation&hl=en&user=mrJo09oAAAAJ&citation_for_view=mrJo09oAAAAJ:d1gkVwhDpl0C)
- Abstract: With the recent global boom in video content creation and consumption during the pandemic, linguistics remains the only barrier in producing immersive content for global communities. To solve this, content creators use a manual dubbing process, where voice actors are hired to produce a voiceover over the video. We aim to break down the language barrier and thus make videos for everyone. We propose an end-to-end architecture that automatically translates videos and produces synchronized dubbed voices using deep learning models, in a specified target language. Our architecture takes a modular approach, allowing the user to tweak each component or replace it with a better one. We present our results from said architecture, and describe possible future motivations to scale this to accommodate multiple languages and multiple use cases.

## Current Snapshot

- 2 publication entries currently published.
- Publication filter parameters: q, year, area, type, sort.

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