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Chinese character decomposition for neural MT with multi-word expressions
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In: Han, Lifeng orcid:0000-0002-3221-2185 , Jones, Gareth J.F. orcid:0000-0003-2923-8365 , Smeaton, Alan F. orcid:0000-0003-1028-8389 and Bolzoni, Paolo (2021) Chinese character decomposition for neural MT with multi-word expressions. In: 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021), 31 May- 2 June 2021, Reykjavik, Iceland (Online). (In Press) (2021)
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Dependency Patterns of Complex Sentences and Semantic Disambiguation for Abstract Meaning Representation Parsing ...
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Phrase-Level Action Reinforcement Learning for Neural Dialog Response Generation ...
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Sample-efficient Linguistic Generalizations through Program Synthesis: Experiments with Phonology Problems ...
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19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology - Part 2 ...
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18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology - Part 1 ...
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SpeakEasy Pronunciation Trainer: Personalized Multimodal Pronunciation Training ...
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The Match-Extend Serialization Algorithm in Multiprecedence ...
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Recognizing Reduplicated Forms: Finite-State Buffered Machines ...
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Correcting Chinese Spelling Errors with Phonetic Pre-training ...
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PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction ...
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SpeakEasy Pronunciation Trainer: Personalized Multimodal Pronunciation Training ...
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Including Signed Languages in Natural Language Processing ...
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Quantification: the view from natural language generation ...
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Abstract:
Quantification is one of the central topics in language and computation, and the interplay ofcollectivity, distributivity, cumulativity, and plurality is at the heart of the semantics ofquantification expressions. However, its aspects are usually discussed piecemeal,distributed, and only from an interpretative perspective with selected linguistic examples,often blurring the overall picture. In this article, quantification phenomena are investigatedfrom the perspective of natural language generation. Starting with a small-scale, but realisticscenario, the necessary steps toward generating quantifier expressions for a perceivedsituation are explained. Together with the automatically generated descriptions of thescenario, the observations made are shown to present new insights into the interplay,and the semantics of quantification expressions and plurals, in general. The results highlightthe importance of taking different points of view in thefield of language and computation. ...
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Keyword:
400 Sprache; Computation; Computational linguistics; Computerlinguistik; Language; Linguistische Informationswissenschaft; Natürliche Sprache; Quantification; Quantifizierung; Semantics; Semantik
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URL: https://dspace.ub.uni-siegen.de/handle/ubsi/1933 https://dx.doi.org/10.25819/ubsi/9946
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When is Char Better Than Subword: A Systematic Study of Segmentation Algorithms for Neural Machine Translation ...
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The Reading Machine: a Versatile Framework for Studying Incremental Parsing Strategies ...
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To POS Tag or Not to POS Tag: The Impact of POS Tags on Morphological Learning in Low-Resource Settings ...
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Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words ...
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HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation ...
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