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Word embeddings allow natural language pro- cessing systems to share statistical information across related words. These embeddings are typically based on distributional statistics, mak- ing it difficult for them to …...

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AbstractIn this paper we present a character-level sequence-to-sequence lemmatization model, utilizing several subword features in multiple configurations. In addition to generic n-gram embeddings (using FastText), we experiment with concatenative (stems) …...

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