rule of split sentence
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At Grammarly, we use a lot of off-the-shelf core NLP technologies to help us make a little bit of sense in the mess that is natural language texts (English in particular). The issue with all these technologies is that even small errors in their output are often multiplied by the downstream algorithms. So, when a sophisticated mistake-detection algorithm is supposed to work on individual sentences, but it receives a fragment of a sentence or a couple merged together, it may find all sorts of funny things inside.
In this post, we analyze the problem of sentence splitting for English texts and evaluate some of the approaches to solving it. As usual, good data is key, and we discuss the usage of OntoNotes and MASC corpora for this task.
In this post, we analyze the problem of sentence splitting for English texts and evaluate some of the approaches to solving it. As usual, good data is key, and we discuss the usage of OntoNotes and MASC corpora for this task.
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