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Domestic Ubimus
In: EISSN: 2409-9708 ; EAI Endorsed Transactions on Creative Technologies ; https://hal-hprints.archives-ouvertes.fr/hprints-03602695 ; EAI Endorsed Transactions on Creative Technologies, EAI - European Alliance for Innovation, 2022, ⟨10.4108/eai.22-2-2022.173493⟩ (2022)
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2
Metropolenzeichen: Atlas zur visuellen Mehrsprachigkeit der Metropole Ruhr ...
Ziegler, Evelyn; Eickmans, Heinz; Schmitz, Ulrich. - : DuEPublico: Duisburg-Essen Publications online, University of Duisburg-Essen, Germany, 2022
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3
Universal Segmentations 1.0 (UniSegments 1.0)
Žabokrtský, Zdeněk; Bafna, Nyati; Bodnár, Jan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2022
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Eine Disziplin stellt um: Open-Access-Transformation in der Linguistik ...
Nordhoff, Sebastian. - : Zenodo, 2022
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Eine Disziplin stellt um: Open-Access-Transformation in der Linguistik ...
Nordhoff, Sebastian. - : Zenodo, 2022
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6
XTREME-S: Evaluating Cross-lingual Speech Representations ...
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7
Technology Mapping Using WebAI: The Case of 3D Printing ...
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8
The domestic sources of sub-state foreign policymaking: determinants of subnational development cooperation across European regions ...
Reinsberg, Bernhard; Dellepiane, Sebastian. - : Taylor & Francis, 2022
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9
The domestic sources of sub-state foreign policymaking: determinants of subnational development cooperation across European regions ...
Reinsberg, Bernhard; Dellepiane, Sebastian. - : Taylor & Francis, 2022
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10
49 - A test-suite for the evaluation of Portuguese-English machine translations ...
Abstract: Read full paper: https://link.springer.com/chapter/10.1007/978-3-030-98305-5_2 Abstract: This paper describes the development of the first test suite for the language direction Portuguese-English. Designed for fine-grained linguistic analysis, the test suite comprises 330 test sentences for 66 linguistic phenomena and 14 linguistic categories. Eight different MT systems were compared using quantitative and qualitative methods via the test suite: DeepL, Google Sheets, Google Translator, Microsoft Translator, Reverso, Systran, Yandex and an internally built NMT system trained over 30 hours on 2,5M sentences. It was found that ambiguity, named entity & terminology and verb valency are the categories where MT systems struggle most. Negation, pronouns, subordination, verb tense/aspect/mood and false friends are the categories where MT systems perform best. ...
URL: https://underline.io/lecture/48032-49---a-test-suite-for-the-evaluation-of-portuguese-english-machine-translations
https://dx.doi.org/10.48448/e5cw-my14
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11
Platinum-Open-Access-Bücher in der Sprachwissenschaft ...
Nordhoff, Sebastian. - : :unas, 2022
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12
Effects of Spatial Speech Presentation on Listener Response Strategy for Talker-Identification ...
Uhrig, Stefan; Perkis, Andrew; Möller, Sebastian. - : Technische Universität Berlin, 2022
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13
Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0 ...
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14
Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation ...
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15
Semantic Feature Extraction Using SBERT for Dementia Detection
In: Brain Sciences; Volume 12; Issue 2; Pages: 270 (2022)
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16
Semantic Feature Extraction Using SBERT for Dementia Detection
In: Brain Sci (2022)
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17
Ein neuer Balkanismus (im Bereich der Onomastik)
Kempgen, Sebastian. - : Azbukovnik, 2022. : Moskva, 2022
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18
Bože moj - der Vokativ ist ja gar kein Kasus!
Kempgen, Sebastian. - : Sagner, 2022. : München, 2022
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19
Scratches? Scribbles? Scripture! Revealing the Unseen : 3D Scanning of Glagolitic Graffiti of the 10th Century at the Monastery of St. Naum
Tenschert, Ruth; Rahrig, Max; Drewello, Rainer. - : Museen der Stadt Wien – Stadtarchäologie, 2022. : Wien, 2022
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20
Causal and associational language in observational health research: a systematic evaluation
Haber, Noah; Wieten, Sarah; Rohrer, Julia. - : Bloomberg School of Public Health - Oxford University Press, 2022
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