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Characterizing News Portrayal of Civil Unrest in Hong Kong, 1998–2020 ...
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Jibes & Delights: A Dataset of Targeted Insults and Compliments to Tackle Online Abuse ...
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Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ...
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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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PHMOSpell: Phonological and Morphological Knowledge Guided Chinese Spelling Check ...
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9 |
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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11 |
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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15 |
Including Signed Languages in Natural Language Processing ...
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When is Char Better Than Subword: A Systematic Study of Segmentation Algorithms for Neural Machine Translation ...
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17 |
The Reading Machine: a Versatile Framework for Studying Incremental Parsing Strategies ...
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18 |
To POS Tag or Not to POS Tag: The Impact of POS Tags on Morphological Learning in Low-Resource Settings ...
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19 |
An FST morphological analyzer for the Gitksan language ...
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Abstract:
This paper presents a finite-state morphological analyzer for the Gitksan language. The analyzer draws from a 1250-token Eastern dialect wordlist. It is based on finite-state technology and additionally includes two extensions which can provide analyses for out-of-vocabulary words: rules for generating predictable dialect variants, and a neural guesser component. The pre-neural analyzer, tested against interlinear-annotated texts from multiple dialects, achieves coverage of (75-81%), and maintains high precision (95-100%). The neural extension improves coverage at the cost of lowered precision. ...
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URL: https://dx.doi.org/10.48448/sqa9-g678 https://underline.io/lecture/30084-an-fst-morphological-analyzer-for-the-gitksan-language
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20 |
Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words ...
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