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May 25, 2023 · We tackle the problem of neural machine translation of mathematical formulae between ambiguous presentation languages and unambiguous content languages.
We tackle the problem of neural machine translation of mathematical formulae between ambiguous presentation languages and unambiguous content languages.
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Sep 12, 2024 · In this work, we perform the tasks of translating from LaTeX to Mathematica as well as from LaTeX to semantic LaTeX. While recurrent, recursive, ...
May 25, 2023 · We tackle the problem of neural machine trans- lation of mathematical formulae between am- biguous presentation languages and unambigu- ous ...
The proposed system leverages a Transformer model as the core of the translation system, ensuring enhanced accuracy and fluency in the translated Arabic ...
Jan 14, 2024 · ACL 2023 – Neural Machine Translation for Mathematical Formulae. Authors: Felix Petersen, Moritz Schubotz, Andre Greiner-Petter, Bela Gipp.
Neural machine translation (NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words.
Apr 18, 2024 · Neural machine translation (NMT) is typically software used to translate words from one language to another.
Here, we explicitly exploits language model(LM) to drive construction of an unsupervised NMT system. This features two steps. First, we initialize NMT models ...