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Code and Tutorial Accompanying "Computer-Assisted Language Comparison: State of the Art" ...
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Code and data accompanying the study "Modeling word trees in historical linguistics" ...
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Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels ...
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The Quest for 'Falsehood', or a Survey of Tools for the Study of Greek-Syriac-Arabic Translations ...
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Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels ...
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The Quest for 'Falsehood', or a Survey of Tools for the Study of Greek-Syriac-Arabic Translations ...
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Towards Programming in Natural Language: Learning New Functions from Spoken Utterances ...
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Модели и методы анализа тональности в текстах на башкирском языке ... : Models and methods for sentiment analysis of texts in Bashkir language ...
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Imiona w Polsce w XX w. i na początku XXI w. w ujęciu statystycznym i socjolingwistycznym ...
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Imiona w Polsce w XX w. i na początku XXI w. w ujęciu statystycznym i socjolingwistycznym ...
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Pathways to the Native Storyteller: a method to enable computational story understanding
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In: College of Computing and Digital Media Dissertations (2020)
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THE FUTURE TENSE PROPERTIES of UYGHUR and TURKISH
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In: Zeitschrift für die Welt der Türken / Journal of World of Turks; Vol 12, No 2 (2020): [ZFWT] VOL. 12, NO. 2 (2020); 69-80 (2020)
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A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics
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In: Computer Science: Faculty Publications and Other Works (2020)
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Discovering and analysing lexical variation in social media text ...
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Speaker trait characterization in web videos: Uniting speech, language, and facial features
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In: Proceedings of the 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013) ; 3647-3651 ; International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013) ; 38 (2020)
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Abstract:
We present a multi-modal approach to speaker characterization using acoustic, visual and linguistic features. Full realism is provided by evaluation on a database of real-life web videos and automatic feature extraction including face and eye detection, and automatic speech recognition. Different segmentations are evaluated for the audio and video streams, and the statistical relevance of Linguistic Inquiry and Word Count (LIWC) features is confirmed. In the result, late multimodal fusion delivers 73, 92 and 73% average recall in binary age, gender and race classification on unseen test subjects, outperforming the best single modalities for age and race.
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Keyword:
angewandte Wissenschaften; Applied Sciences; audiovisual media; audiovisuelle Medien; Aufzeichnung; computational linguistics; computational paralinguistics; Computerlinguistik; Evaluation; Experiment; Internet; Linguistic Inquiry and Word Count; LIWC; multi-modal fusion; Natural Science and Engineering; Naturwissenschaften; recording; Science; social media; Soziale Medien; speaker classification; Technik(wissenschaften); Video; video clip; Video-Clip
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URL: http://nbn-resolving.org/urn:nbn:de:0168-ssoar-66084-2 https://doi.org/10.1109/ICASSP.2013.6638338 https://www.ssoar.info/ssoar/handle/document/66084
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Distant Reading in der Zeitgeschichte: Möglichkeiten und Grenzen einer computergestützten Historischen Semantik am Beispiel der DDR-Presse
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In: Zeithistorische Forschungen / Studies in Contemporary History ; 16 ; 1 ; 177-196 (2020)
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Urban Narrative: Computational Linguistic Interpretation of Large Format Public Participation for Urban Infrastructure
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In: Urban Planning ; 5 ; 4 ; 20-32 ; The City of Digital Social Innovators (2020)
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A Corpus Approach to Roman Law Based on Justinian’s Digest
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