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The AMAR mechanism: nominal expressions in the Bantu languages are shaped by apposition and reintegration.
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In: ISSN: 0024-3949 ; EISSN: 1613-396X ; Linguistics ; https://halshs.archives-ouvertes.fr/halshs-03433014 ; Linguistics, De Gruyter, In press, ⟨10.1515/ling-2020-0132⟩ (2022)
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Quality and Efficiency of Manual Annotation: Data from the Pre-annotation Bias Experiment (part of the PDT-C 2.0 project)
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A Quantitative Approach to Microvariation: Negative Marking in Central Romance
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In: Languages; Volume 7; Issue 2; Pages: 87 (2022)
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Effect of Lexical-Semantic Cues during Real-Time Sentence Processing in Aphasia
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In: Brain Sciences; Volume 12; Issue 3; Pages: 312 (2022)
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Grammatical Gender Disambiguates Syntactically Similar Nouns
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In: Entropy; Volume 24; Issue 4; Pages: 520 (2022)
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Root, Thematic Vowels and Inflectional Exponents in Verbs: A Morpho-Syntactic Analysis
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In: Languages; Volume 7; Issue 2; Pages: 104 (2022)
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Learning the Morphological and Syntactic Grammars for Named Entity Recognition
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In: Information; Volume 13; Issue 2; Pages: 49 (2022)
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Gender Agreement in a Language Contact Situation
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In: Languages; Volume 7; Issue 2; Pages: 81 (2022)
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Preposition Stranding in Spanish–English Code-Switching
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In: Languages; Volume 7; Issue 1; Pages: 45 (2022)
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11 |
The AMAR mechanism: nominal expressions in the Bantu languages are shaped by apposition and reintegration.
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In: ISSN: 0024-3949 ; EISSN: 1613-396X ; Linguistics ; https://halshs.archives-ouvertes.fr/halshs-03433014 ; Linguistics, De Gruyter, In press, ⟨10.1515/ling-2020-0132⟩ (2022)
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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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13 |
When Church Slavonic meets Latin: Tradition vs. Innovation
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Tomelleri. - : De Gruyter, 2022. : country:DEU, 2022. : place:Berlin, 2022
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How Well Do LSTM Language Models Learn Filler-gap Dependencies?
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Parsing Early Modern English for Linguistic Search
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In: Proceedings of the Society for Computation in Linguistics (2022)
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The Linearization of V(P)-doubling Constructions
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In: Doctoral Dissertations (2022)
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Papers from the 30th Conference of the Southeast Asian Linguistics Society (2021)
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In: Journal of the Southeast Asian Linguistics Society, Vol 15, Iss 3, Pp i-349 (2022) (2022)
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Successes and shortcomings of phonological accounts of Scandinavian object shift
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In: Proceedings of the Linguistic Society of America; Vol 7, No 1 (2022): Proceedings of the Linguistic Society of America; 5261 ; 2473-8689 (2022)
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“You don’t know nothin’ bout no Earth, Wind, and Fire”: Reexamining negative concord and definiteness in African American English
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In: Proceedings of the Linguistic Society of America; Vol 7, No 1 (2022): Proceedings of the Linguistic Society of America; 5271 ; 2473-8689 (2022)
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Narrow scoping content question items in shifty contexts: A case of surprising non-quotation in Uyghur
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In: Proceedings of the Linguistic Society of America; Vol 7, No 1 (2022): Proceedings of the Linguistic Society of America; 5235 ; 2473-8689 (2022)
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