Papers by Samuel Frontull

2 papers
AlignFix: A Tool for Parallel Corpora Augmentation and Refinement (2026.eacl-demo)

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Challenge: High-quality datasets are crucial for training effective state of the art machine translation systems, but they can be noisy and degrade performance.
Approach: They propose an open-source tool for augmenting data, identifying and correcting errors in parallel corpora.
Outcome: The tool extracts consistent phrase pairs, enabling targeted replacements that can improve the dataset quality.
LaTeXMT: Machine Translation for LaTeX Documents (2025.emnlp-demos)

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Challenge: LaTeXMT is a software solution for structure-preserving, source-to-source translation of LaTex documents.
Approach: They propose a software solution for structure-preserving, source-to-source translation of LaTeX documents . authors propose transformer-based language models which can be trained on plain text .
Outcome: The proposed software is available under the LGPL-3.0 open-source licence and a web version is publicly available.

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