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- W332893734 abstract "Generally, NLP tools use well-formed and annotated data to learn patterns by usingmachine learning techniques. However, in this work we will focus on the languageused in an on-line platform for machine translation. In this area it is usual to have aframework such the following: a web-page which offer a service of translation betweenpairs of languages. The problem is that the casual users utilize the service to translateany type of text (cut and paste, single words, bad formatting, snipets, informallanguage, pre-traductions, etc.). Hence, in this situation we will find very often wordswith mistakes that make the system provides a bad translation because it is not ableto understand the input." @default.
- W332893734 created "2016-06-24" @default.
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- W332893734 date "2013-01-01" @default.
- W332893734 modified "2023-10-18" @default.
- W332893734 title "Robust Part of Speech Tagging" @default.
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