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DIGITAL TECHNOLOGIES FOR GRAMMATICAL ERROR CORRECTION: DEEP LEARNING METHODS & SYNTACTIC N-GRAMS
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In: Мова; No. 35 (2021) ; Мова; № 35 (2021) ; 2414-9489 ; 2307-4558 (2021)
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| 62 |
The Cultural Outcomes of Social Movements: A Computational Linguistics Approach
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In: Partecipazione e conflitto; Vol. 14, No. 3 (2021). Special Issue on: "When, where and which kind of collective action matters?"; 1151-1179 (2021)
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| 63 |
Assembling Syntax: Modeling Constituent Questions in a Grammar Engineering Framework
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| 64 |
Une approche computationnelle de la complexité linguistique par le traitement automatique du langage naturel et l'oculométrie
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| 65 |
‘Minds’ in ‘Homer’: A quantitative psycholinguistic comparison of the Iliad and Odyssey
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Abstract:
Θα επαινέσω μόνο τον άρχοντα της σοφίας ; Winner of the 2021 Library Award for Undergraduate Research ; “My child, why do you weep? What grief has come upon your phrenes (φρένες)? Speak—conceal not in noos (νόος) in order that we both may know,” so speaks Achilles’ mother Thetis as the fierce warrior weeps tears of wrath on the beaches of Troy (Il. 1.362-363). To be sure, noos likely translates as mind in English in the above passage. However, Homer’s Iliad and Odyssey include a total of eight such words that may be rendered as mind, heart, or spirit: noos (νόος), thymos (θυμός), psykhe (ψυχή), phrenes (φρένες), prapides (πρᾰπῐ́δες), kardia (κᾰρδῐ́ᾱ), kradie (κρᾰδῐ́η), ker (κῆρ), and etor (ἦτορ). This complicated situation with Greek translations of mind is at the heart of this study’s empirical investigation. To wit, what is mind in the Il. compared to the Od.? The present investigation sought to quantify and compare the use of mental language in the Homeric epics by means of computational linguistics. Prior scholarly investigations have been mostly qualitative; the few quantitative studies conducted utilized miniscule sample sizes of English translations. Two studies were conducted. 17 translators who translated both the Il. and Od. into English were selected (within-subjects design). The texts were sanitized and compiled for lexical frequency analyses in Voyant, a digital linguistic analysis tool. Study 1 compared how often mental language terms appeared in both works. Results showed that total word density of mental language increased significantly from the Il. to the Od. in both English translations as well as in the original Greek version. Study 2 compiled an English glossary of mental language terms and counted the frequencies for the 34 total works. A paired-samples t-test was conducted to compare the mean mental language densities of the Il. and Od. across 17 translators. There was a significant difference in the mean densities for the Il. (M = 68.2, SD = 8.9) and Od. (M = 91.9, SD = 11.6) conditions; t(16) = -17.798, N = 17, p < .001, d = -4.317. Further correlational tests as well as ANCOVA were conducted in order to determine if various factors could explain the large effect size. No significant results were observed or relevant. All hypotheses were supported. These data suggest that the Od. contains much more mental language than the Il. Implications and limitations are discussed.
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Keyword:
computational linguistics; Homer; Iliad; mental language; mind; Odyssey; psycholinguistics
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URL: https://doi.org/10.13016/9hwb-kvrx
http://hdl.handle.net/1903/26950
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| 66 |
French de and en as expressions of the genitive case: a unified analysis within LFG and computational implementation in XLE
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In: DELTA: Documentação de Estudos em Lingüística Teórica e Aplicada, Vol 37, Iss 1 (2021) (2021)
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Sujeito oculto às claras: uma abordagem descritivo-computacional / Omitted subjects revealed: a quantitative-descriptive approach
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In: Revista de Estudos da Linguagem, Vol 29, Iss 2, Pp 1033-1058 (2021) (2021)
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| 68 |
Intention and Attention in Image-Text Presentations: A Coherence Approach
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In: Experiments in Linguistic Meaning; Vol 1 (2021); 273-283 ; 2694-1791 (2021)
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| 69 |
Cross-linguistic scope ambiguity: An investigation of English, Spanish, and Mandarin
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In: Proceedings of the Linguistic Society of America; Vol 6, No 1 (2021): Proceedings of the Linguistic Society of America; 572–586 ; 2473-8689 (2021)
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| 70 |
Universals of word order reflect optimization of grammars for efficient communication.
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In: Proceedings of the National Academy of Sciences of the United States of America, vol 117, iss 5 (2020)
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| 71 |
The Design of Online Environments (Political Hashtags) and the Quality of Democratic Discourse At-Scale
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| 72 |
ПРИМЕНЕНИЕ ТЕХНОЛОГИИ WORD2VEC В ЗАДАЧЕ ВЫДЕЛЕНИЯ ИНВЕРТОРОВ ТОНАЛЬНОСТИ ... : APPLYING WORD2VEC TECHNOLOGY TO SHIFTER EXTRACTION TASK ...
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| 73 |
Living Machines atypical animacy dataset ...
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: British Library, 2020
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| 74 |
A Corpus Approach to Roman Law Based on Justinian’s Digest ...
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| 75 |
Machine learning methods for vector-based compositional semantics ...
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| 76 |
Learning meaning representations for text generation with deep generative models ...
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Cao, Kris. - : Apollo - University of Cambridge Repository, 2020
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| 77 |
LitCrit: exploring intentions as a basis for automated feedback on Related Work. ...
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Modelling speaker adaptation in second language learner dialogue ...
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| 79 |
Code and data accompanying the study "Modeling word trees in historical linguistics" ...
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| 80 |
Code and Tutorial Accompanying "Computer-Assisted Language Comparison: State of the Art" ...
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