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- W2972466095 abstract "In this paper we describe our system for morphological analysis and lemmatization in context, using a transformer-based sequence to sequence model and a biaffine attention based BiLSTM model. First, a lemma is produced for a given word, and then both the lemma and the given word are used for morphological analysis. We also make use of character level word encodings and trainable encodings to improve accuracy. Overall, our system ranked fifth in lemmatization and sixth in morphological accuracy among twelve systems, and demonstrated considerable improvements over the baseline in morphological analysis." @default.
- W2972466095 created "2019-09-19" @default.
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- W2972466095 date "2019-01-01" @default.
- W2972466095 modified "2023-10-17" @default.
- W2972466095 title "CBNU System for SIGMORPHON 2019 Shared Task 2: a Pipeline Model" @default.
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- W2972466095 doi "https://doi.org/10.18653/v1/w19-4204" @default.
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