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Syntax-semantics interactions – seeking evidence from a synchronic analysis of 38 languages [version 1; peer review: 1 approved] ...
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Syntax-semantics interactions – seeking evidence froma synchronic analysis of 38 languages: scripts repository ...
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Syntax-semantics interactions – seeking evidence froma synchronic analysis of 38 languages: dataset repository ...
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Syntax-semantics interactions – seeking evidence froma synchronic analysis of 38 languages: dataset repository ...
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Syntax-semantics interactions – seeking evidence froma synchronic analysis of 38 languages: scripts repository ...
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Syntax-semantics interactions – seeking evidence froma synchronic analysis of 38 languages: scripts repository ...
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Automatic classification of human translation and machine translation : a study from the perspective of lexical diversity
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Registerial Adaptation vs. Innovation Across Situational Contexts: 18th Century Women in Transition
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In: Front Artif Intell (2021)
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Syntax-semantics interactions – seeking evidence from a synchronic analysis of 38 languages [version 1; peer review: 1 approved]
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Linguistic Variation and Change in 250 Years of English Scientific Writing: A Data-Driven Approach
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In: Front Artif Intell (2020)
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Abstract:
We trace the evolution of Scientific English through the Late Modern period to modern time on the basis of a comprehensive corpus composed of the Transactions and Proceedings of the Royal Society of London, the first and longest-running English scientific journal established in 1665. Specifically, we explore the linguistic imprints of specialization and diversification in the science domain which accumulate in the formation of “scientific language” and field-specific sublanguages/registers (chemistry, biology etc.). We pursue an exploratory, data-driven approach using state-of-the-art computational language models and combine them with selected information-theoretic measures (entropy, relative entropy) for comparing models along relevant dimensions of variation (time, register). Focusing on selected linguistic variables (lexis, grammar), we show how we deploy computational language models for capturing linguistic variation and change and discuss benefits and limitations.
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Keyword:
Artificial Intelligence
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URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861277/ https://doi.org/10.3389/frai.2020.00073
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What Do Neural Networks Actually Learn, When They Learn to Identify Idioms?
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In: Proceedings of the Society for Computation in Linguistics (2019)
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Enhancing the Accuracy of Ancient Greek WordNet by Multilingual Distributional Semantics
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In: Second Italian Conference on Computational Linguistics CLiC-it 2015 ; Proceedings of the Second Italian Conference onComputational Linguistics ; https://hal.archives-ouvertes.fr/hal-03167983 ; Proceedings of the Second Italian Conference onComputational Linguistics, 2015, Trento, Italy (2015)
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Contextual Distribution for Textual Alignment
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In: World Academy of Science, Engineering and TechnologyInternational Journal of Cognitive and Language Sciences ; https://hal.archives-ouvertes.fr/hal-03167990 ; World Academy of Science, Engineering and TechnologyInternational Journal of Cognitive and Language Sciences, 2015, Paris, France (2015)
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Linguistic Variation and Change in 250 Years of English Scientific Writing: A Data-Driven Approach [Online resource]
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IDS-Repository
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Less is more/more diverse: On the communicative utility of linguistic conventionalization [Online resource]
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IDS-Repository
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