Gerold Schneider

8050 Zürich
Campus Oerlikon
Gerold Schneider is Titulary Professor of Computational Linguistics and co-coordinator of LiRI's service area "Natural Language Processing". His doctoral degree is on large-scale dependency parsing, his habilitation on using computational models for corpus linguistics. His research interests include corpus linguistics, cognitive linguistics, statistical approaches, Digital Humanities, learner language, text mining, automated content analysis and language modeling. He has published over 130 articles on these topics, including a book on statistics for linguists available here.
He also works with NLP methods and hate speech detection for the URPP Digital Religion(s) project. Find out more about Gerolds work on his GoogleScholar page or his personal webpage.
Publications
ZORA Publication List
Publications
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Pluralized non-count nouns across Englishes: a corpus-linguistic approach to dialect typology. Corpus Linguistics and Linguistic Theory, 16(3):515-546.
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Linear and Non-Linear Age Trajectories of Language Use: A Laboratory Observation Study of Couples' Conflict Conversations. Journals of Gerontology, Series B: Psychological Sciences and Social Sciences, 75(9):e206-e214.
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Changes in society and language: charting poverty. In: Rautinaho, Paula; Nurmi, Arja; Klemola, Juhani. Corpora and the changing society: studies in the evolution of English. Amsterdam: John Benjamins Publishing, 29-56.
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Using Multilingual Resources to Evaluate CEFRLex for Learner Applications. In: 12th Conference on Language Resources and Evaluation (LREC 2020), Marseille, 11 May 2020 - 16 May 2020. European Language Resources Association, 346-355.
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Spelling normalisation of Late Modern English: comparison and combination of VARD and character-based statistical machine translation. In: Kytö, Merja; Smitterberg, Eric. Late Modern English: novel encounters. Amsterdam: John Benjamins Publishing, 243-268.
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A Man who Was Just an Incredible Man, an Incredible Man: Age Factors and Coherence in Donald Trump’s Spontaneous Speech. In: Schneider, Ulrike; Eitelmann, Matthias. Linguistic Inquiries into Donald Trump’s Language : From ‘Fake News’ to ‘Tremendous Success’. London: Bloomsbury, 62-84.
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Statistics for Linguists: A patient, slow-paced introduction to statistics and to the programming language R. Zurich: Digitale Lehre und Forschung UZH.
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Cognitive Aging Effects on Language Use in Real-Life Contexts: A Naturalistic Observation Study. In: The 41st Annual Meeting of the Cognitive Science Society, Montreal, QC, 24 July 2019 - 27 July 2019, CogSci.
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Enhancing the linguistic discovery potential of historical corpora: a twin-track approach using ARCHER. In: CL 2019 International Corpus Linguistics Conference, Cardiff, Wales, UK, 22 Juli 2019 - 26 Juli 2019, Gossip Theme.
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Topics of eighteenth-century medical writing with triangulation of methods: LMEMT and the underlying reality. In: Taavitsainen, Irma; Hiltunen, Turo. Late Modern English medical texts: writing medicine in the eighteenth century (Including the LMEMT Corpus). Amsterdam: John Benjamins Publishing, 31-74.
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Statistical MWE-aware parsing. In: Parmentier, Yannick; Waszczuk, Jakub. Representation and parsing of multiword expressions: current trends. Berlin: Language Science Press, 147-182.
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Scholastic argumentation in Early English medical writing and its afterlife: new corpus evidence. In: Suhr, Carla; Nevalianen, Terttu; Taavitsainen, Irma. From data to evidence in English language research. Leiden: Brill, 191-221.
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NLP Corpus Observatory – Looking for Constellations in Parallel Corpora to Improve Learners’ Collocational Skills. In: 7th Workshop on NLP for Computer Assisted Language Learning at SLTC 2018 (NLP4CALL 2018), Stockholm, 7 November 2018 - 7 November 2018, 69-78.
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Detecting innovations in a parsed corpus of learner English. In: Deshors, Sandra C.; Götz, Sandra; Laporte, Samanantha. Rethinking linguistic creativity in non-native Englishes. Amsterdam: John Benjamins Publishing, 47-74.
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Differences between Swiss High German and German High German via data-driven methods. In: 3rd Swiss Text Analytics Conference (SwissText 2018), Winterthur, Switzerland, 12 June 2018 - 13 June 2018. CEUR-WS, 17-25.
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Differences between Swiss High German and German German via data-driven methods. In: SwissText 2018: 3rd Swiss Text Analytics Conference, Winterthur, 12 Juni 2018 - 13 Juni 2018.
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From Lexical Bundles to Surprisal and Language Models: measuring the idiom principle on native and learner language. In: Kopaczyk, Joanna; Tyrkkö, Jukka. Applications of Pattern-driven Methods in Corpus Linguistics. Amsterdam: Benjamins, 15-56.
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Tools and Methods for Processing and Visualizing Large Corpora. Studies in Variation, Contacts and Change in English, 19:online.
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SIFT – A language technology toolkit to assess the print media coverage of new forms of governance. Working paper series / NCCR-Democracy 95, University of Zurich. NCCR-Democracy.
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Measuring Encoding Efficiency in Swedish and English Language Learner Speech Production. In: Interspeech 2017, Stockholm, 19 August 2017 - 24 August 2017. ISCA, 1779-1783.