{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,22]],"date-time":"2024-08-22T12:44:56Z","timestamp":1724330696626},"reference-count":33,"publisher":"MIT Press - Journals","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Transactions of the Association for Computational Linguistics"],"published-print":{"date-parts":[[2019,11]]},"abstract":"<jats:p> We introduce Morse, a recurrent encoder-decoder model that produces morphological analyses of each word in a sentence. The encoder turns the relevant information about the word and its context into a fixed size vector representation and the decoder generates the sequence of characters for the lemma followed by a sequence of individual morphological features. We show that generating morphological features individually rather than as a combined tag allows the model to handle rare or unseen tags and to outperform whole-tag models. In addition, generating morphological features as a sequence rather than, for example, an unordered set allows our model to produce an arbitrary number of features that represent multiple inflectional groups in morphologically complex languages. We obtain state-of-the-art results in nine languages of different morphological complexity under low-resource, high-resource, and transfer learning settings. We also introduce TrMor2018, a new high-accuracy Turkish morphology data set. Our Morse implementation and the TrMor2018 data set are available online to support future research. <jats:sup>1<\/jats:sup> <\/jats:p><jats:p> See https:\/\/github.com\/ai-ku\/Morse.jl for a Morse implementation in Julia\/Knet (Yuret, 2016 ) and https:\/\/github.com\/ai-ku\/TrMor2018 for the new Turkish data set. <\/jats:p>","DOI":"10.1162\/tacl_a_00286","type":"journal-article","created":{"date-parts":[[2019,9,11]],"date-time":"2019-09-11T19:59:46Z","timestamp":1568231986000},"page":"567-579","source":"Crossref","is-referenced-by-count":3,"title":["Morphological Analysis Using a Sequence Decoder"],"prefix":"10.1162","volume":"7","author":[{"given":"Ekin","family":"Aky\u00fcrek","sequence":"first","affiliation":[{"name":"Ko\u00e7 University Artificial Intelligence Laboratory, \u0130stanbul, Turkey."},{"name":"Ko\u00e7 University Artificial Intelligence Laboratory, \u0130stanbul, 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