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Journal articles
A unified multilingual handwriting recognition system using multigrams sub-lexical units
Abstract : We address the design of a unified multilingual system for handwriting recognition. Most of multilingual systems rests on specialized models that are trained on a single language and one of them is selected at test time. While some recognition systems are based on a unified optical model, dealing with a unified language model remains a major issue, as traditional language models are generally trained on corpora composed of large word lexicons per language. Here, we bring a solution by considering language models based on sub-lexical units, called multigrams. Dealing with multigrams strongly reduces the lexicon size and thus decreases the language model complexity. This makes possible the design of an end-to-end unified multilingual recognition system where both a single optical model and a single language model are trained on all the languages. We discuss the impact of the language unification on each model and show that our system reaches state-of-the-art methods performance with a strong reduction of the complexity.
https://hal-normandie-univ.archives-ouvertes.fr/hal-02075654
Contributor : Thierry Paquet <>
Submitted on : Thursday, March 21, 2019 - 2:56:59 PM
Last modification on : Tuesday, November 24, 2020 - 9:38:05 AM
Contributor : Thierry Paquet <>
Submitted on : Thursday, March 21, 2019 - 2:56:59 PM
Last modification on : Tuesday, November 24, 2020 - 9:38:05 AM
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