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Joint learning of morphology and syntax with cross-level contextual information flow
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In: 2022 ; 1 ; 33 (2022)
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Abstract:
© 2022 The Authors. Published by Cambridge University Press. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: 10.1017/S1351324921000371 ; We propose an integrated deep learning model for morphological segmentation, morpheme tagging, part-of-speech (POS) tagging, and syntactic parsing onto dependencies, using cross-level contextual information flow for every word, from segments to dependencies, with an attention mechanism at horizontal flow. Our model extends the work of Nguyen and Verspoor (2018) on joint POS tagging and dependency parsing to also include morphological segmentation and morphological tagging. We report our results on several languages. Primary focus is agglutination in morphology, in particular Turkish morphology, for which we demonstrate improved performance compared to models trained for individual tasks. Being one of the earlier efforts in joint modeling of syntax and morphology along with dependencies, we discuss prospective guidelines for future comparison. ; This research has been supported by Scientific and Technological Research Council of Turkey (TUBITAK), project number EEEAG-115E464.
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Keyword:
attention; deep learning; dependency parsing; morphological segmentation; morphological tagging; morphology; recurrent neural networks; syntax
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URL: http://hdl.handle.net/2436/624440
https://doi.org/10.1017/S1351324921000371
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How efficient are facial masks against COVID-19? Evaluating the mask use of various communities one year into the pandemic
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In: Turk J Med Sci (2021)
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Generating Word and Document Embeddings for Sentiment Analysis ...
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The Validity and Reliability of the Turkish Version of Jefferson Scale of Physician Lifelong Learning for Medical Students
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In: Medeni Med J (2020)
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Mobilités dans l’espace migratoire Algérie France Canada
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In: https://hal.archives-ouvertes.fr/hal-02470333 ; Presses universitaires de Provence, 2019, 9791032002001 ; https://presses-universitaires.univ-amu.fr/mobilites-lespace-migratoire-algerie-france-canada-0 (2019)
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Interaction matrix selection in spatial econometrics with an application to growth theory
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In: ISSN: 0166-0462 ; Regional Science and Urban Economics ; https://halshs.archives-ouvertes.fr/halshs-01278545 ; Regional Science and Urban Economics, Elsevier, 2019, 75, pp.49-69. ⟨10.1016/j.regsciurbeco.2019.01.002⟩ (2019)
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TRACKING THE CULTURE OF LEARNING AND READINESS FOR LEARNER AUTONOMY IN A TURKISH CONTEXT
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In: TEFLIN Journal, Vol 30, Iss 1, Pp 22-46 (2019) (2019)
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"You see yourself like in a mirror”: The effects of internet-mediated personal networks on body image and eating disorders
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In: ISSN: 1041-0236 ; EISSN: 1532-7027 ; Health Communication ; https://hal.archives-ouvertes.fr/hal-01520138 ; Health Communication, Taylor & Francis (Routledge), 2018, 33 (9), pp.1166-1176. ⟨10.1080/10410236.2017.1339371⟩ ; http://www.tandfonline.com/eprint/2eUtxQSQxyWaxE85izNA/full (2018)
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Implementierung und Vergleich von Quantoren-Fuzzifikationsmechanismen ... : Implementing and comparing quantifier fuzzification mechanisms ...
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The Relation between Prospective Teachers’ Attitudes towards Uncertainty and Motivation in Teaching
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In: Education Sciences ; Volume 8 ; Issue 3 (2018)
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"I think that’s what he’s doing": Effects of intentional reasoning on second language (L2) speech performance
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Contextualisation and authenticity in TBLT: Voices from Chinese classrooms.
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Malay ESL students’ difficulties in using English prepositions
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| 20 |
Father’s role in supporting breastfeeding of preterm infants in the neonatal intensive care unit: a qualitative study
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In: ISSN: 2044-6055 ; BMJ Open ; https://hal.univ-brest.fr/hal-01561358 ; BMJ Open, BMJ Publishing Group, 2016, 6 (6), pp.e010470. ⟨10.1136/bmjopen-2015-010470⟩ (2016)
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