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Publikationen
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Digital Dickens: An automated content analysis of Charles Dickens’ novels In S. Buschfeld, P. Ronan, T. Neumaier, A. Wellinghoff, & L. Westermayer (Eds.), Crossing Boundaries through Corpora: Innovative corpus approaches within and beyond linguistics (pp. 62–98). John Benjamins Publishing. https://doi.org/10.1075/scl.119
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Automatically detecting directives with SPICE Ireland In M. Schweinberger & P. Ronan (Eds.), Socio-Pragmatic Variation in Ireland: Using Pragmatic Variation to Construct Social Identities (No. 378; pp. 205–234). De Gruyter. https://doi.org/10.1515/9783110791457-011
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The Visualisation and Evaluation of Semantic and Conceptual Maps In M. Laitinen & J. Tyrkkö (Eds.), Linguistics across Disciplinary Borders: The March of Data (pp. 67–94). Bloomsbury Publishing. https://doi.org/10.5040/9781350362291.0009
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Investigating child language acquisition from a joint perspective: A comparison of traditional and new L1 speakers of English In M. Schmalz, M. Vida-Mannl, & S. Buschfeld (Eds.), Acquisition and Variation in World Englishes: Bridging Paradigms and Rethinking Approaches (No. 69; pp. 133–157). De Gruyter. https://doi.org/10.1515/9783110733723-007
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“To boldly go where no man has gone before”: how iconic is the Star Trek split infinitive? Linguistics Vanguard, 9, 247–255. https://doi.org/10.1515/lingvan-2022-0168
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Colloquialisation, compression and democratisation in British parliamentary debates In M. Korhonen, H. Kotze, & J. Tyrkkö (Eds.), Exploring Language and Society with Big Data: Parliamentary discourse across time and space (pp. 336–372). John Benjamins Publishing. https://doi.org/10.1075/scl.111.12sch
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Differences in syntactic annotation affect retrieval International Journal of Corpus Linguistics, 28, 378–406. https://doi.org/10.1075/ijcl.21104.zeh
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Detecting and Analysing Learner Difficulties Using a Learner Corpus Without Error Tagging In K. Harrington & P. Ronan (Eds.), Demystifying Corpus Linguistics for English Language Teaching (pp. 229–257). Palgrave Macmillan. https://doi.org/10.1007/978-3-031-11220-1_12
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Replicable semi-supervised approaches to state-of-the-art stance detection of tweets Information Processing & Management, 60, 103199. https://doi.org/10.1016/j.ipm.2022.103199
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Assessing How Attitudes to Migration in Social Media Complement Public Attitudes Found in Opinion Surveys SPELL: Swiss Papers in English Language and Literature, 41, 119–153. https://doi.org/10.33675/SPELL/2022/41/10
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Systematically Detecting Patterns of Social, Historical and Linguistic Change: The Framing of Poverty in Times of Poverty Transactions of the Philological Society, 120, 447–473. https://doi.org/10.1111/1467-968X.12252
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Recent changes in spoken British English according to spoken BNC2014 In S. Flach & M. Hilpert (Eds.), Broadening the spectrum of corpus linguistics: New approaches to variability and change (No. 105; pp. 173–195). John Benjamins Publishing. https://doi.org/10.1075/scl.105.06sch
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Comparing data-driven to corpus-based approaches for diachronic variation: document-classification and overuse metrics In J. Schlüter & O. Schützler (Eds.), Data and Methods in Corpus Linguistics: Comparative Approaches (pp. 291–322). Cambridge University Press.
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Syntactic changes in verbal clauses and noun phrases from 1500 onwards In B. Los, C. Cowie, & P. Honeybone (Eds.), English Historical Linguistics: Change in Structure and Meaning (No. 361; pp. 163–200). John Benjamins Publishing. https://doi.org/10.1075/cilt.358.07sch
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Measuring Attitudes to Migration in the Media automatically with Complementary Data Sources and Methods In P. Ronan & E. Ziegler (Eds.), Approaches to Migration and Language Identity (pp. 207–252). Peter Lang. https://www.peterlang.com/document/1183598
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Medical topics and style from 1500 to 2018 In T. Hiltunen & I. Taavitsainen (Eds.), Corpus pragmatic studies on the history of medical discourse (pp. 49–78). Benjamins. https://doi.org/10.1075/pbns.330.03sch
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With a little help from familiar interlocutors: real-world language use in young and older adults Aging & Mental Health, 25, 2310–2319. https://doi.org/10.1080/13607863.2020.1822288
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Pluralized non-count nouns across Englishes: a corpus-linguistic approach to dialect typology Corpus Linguistics and Linguistic Theory, 16, 515–546. https://doi.org/10.1515/cllt-2018-0068
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Changes in society and language: charting poverty In P. Rautinaho, A. Nurmi, & J. Klemola (Eds.), Corpora and the changing society: studies in the evolution of English (No. 96; pp. 29–56). John Benjamins Publishing. https://doi.org/10.1075/scl.96.02sch
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Using Multilingual Resources to Evaluate CEFRLex for Learner Applications 346–355. https://www.aclweb.org/anthology/2020.lrec-1.43.pdf
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Spelling normalisation of Late Modern English: comparison and combination of VARD and character-based statistical machine translation In M. Kytö & E. Smitterberg (Eds.), Late Modern English: novel encounters (No. 214; pp. 243–268). John Benjamins Publishing. https://doi.org/10.1075/slcs.214.11sch
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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 U. Schneider & M. Eitelmann (Eds.), Linguistic Inquiries into Donald Trump’s Language : From ‘Fake News’ to ‘Tremendous Success’ (pp. 62–84). Bloomsbury. https://doi.org/10.5040/9781350115545.0009
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Statistics for Linguists: A patient, slow-paced introduction to statistics and to the programming language R Digitale Lehre und Forschung UZH. https://dlf.uzh.ch/openbooks/statisticsforlinguists/
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Enhancing the linguistic discovery potential of historical corpora: a twin-track approach using ARCHER CL 2019 International Corpus Linguistics Conference, Cardiff. https://eprints.lancs.ac.uk/id/eprint/135949/1/CL2019_ARCHER_annotation_abstract.pdf
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Topics of eighteenth-century medical writing with triangulation of methods: LMEMT and the underlying reality In I. Taavitsainen & T. Hiltunen (Eds.), Late Modern English medical texts: writing medicine in the eighteenth century (Including the LMEMT Corpus) (pp. 31–74). John Benjamins Publishing. https://doi.org/10.1075/z.221.03taa
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Scholastic argumentation in Early English medical writing and its afterlife: new corpus evidence In C. Suhr, T. Nevalianen, & I. Taavitsainen (Eds.), From data to evidence in English language research (Vol. 83, pp. 191–221). Brill. https://doi.org/10.1163/9789004390652_010
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Statistical MWE-aware parsing In Y. Parmentier & J. Waszczuk (Eds.), Representation and parsing of multiword expressions: current trends (No. 3; pp. 147–182). Language Science Press. https://doi.org/10.5281/zenodo.2579043
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NLP Corpus Observatory – Looking for Constellations in Parallel Corpora to Improve Learners’ Collocational Skills 69–78. https://spraakbanken.gu.se/eng/icall/7th-nlp4call#prog
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Detecting innovations in a parsed corpus of learner English In S. C. Deshors, S. Götz, & S. Laporte (Eds.), Rethinking linguistic creativity in non-native Englishes (No. 98; pp. 47–74). John Benjamins Publishing. https://doi.org/10.1075/bct.98.03sch
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Differences between Swiss High German and German High German via data-driven methods In M. Cieliebak, D. Tuggener, & F. Benites (Eds.), CEUR Workshop Proceedings (No. 2226; pp. 17–25). CEUR-WS. http://ceur-ws.org/Vol-2226/
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Differences between Swiss High German and German German via data-driven methods (M. Cieliebak & F. Benites, Eds.).
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From Lexical Bundles to Surprisal and Language Models: measuring the idiom principle on native and learner language In J. Kopaczyk & J. Tyrkkö (Eds.), Applications of Pattern-driven Methods in Corpus Linguistics (No. 82; Vol. 82, pp. 15–56). Benjamins. https://doi.org/10.1075/scl.82.02sch
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Tools and Methods for Processing and Visualizing Large Corpora Studies in Variation, Contacts and Change in English, 19, online. http://www.helsinki.fi/varieng/series/volumes/19/schneider_el-assady_lehmann/
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Measuring Encoding Efficiency in Swedish and English Language Learner Speech Production 1779–1783. https://doi.org/10.21437/Interspeech.2017-337
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Saying Whatever It Takes: Creating and Analyzing Corpora from US Presidential Debate Transcripts 537–544. http://paulslals.org.uk/ccr/CL2017ExtendedAbstracts.pdf
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Comparing Rule-based and SMT-based Spelling Normalisation for English Historical Texts (No. 133). 40–46. http://www.ep.liu.se/ecp/article.asp?issue=133&article=008&volume=#
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Statistical sequence and parsing models for descriptive linguistics and psycholinguistics In O. Timofeeva, S. Chevalier, A.-C. Gardner, & A. Honkapohja (Eds.), New Approaches in English Linguistics : Building Bridges (pp. 281–320). John Benjamins Publishing. https://doi.org/10.1075/slcs.177
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Part-Of-Speech in Historical Corpora: Tagger Evaluation and Ensemble Systems on ARCHER KONVENS 2016, Bochum.
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Detecting innovations in a parsed corpus of learner english International Journal of Learner Corpus Research, 2, 177–204. https://doi.org/10.1075/ijlcr.2.2.03sch
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The use of the be-passive in academic Englishes: local versus global usage in an international language Corpora, 11, 31–63. https://doi.org/10.3366/cor.2016.0084
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Parsing early and late modern English corpora Literary and Linguistic Computing, 30, 423–439. https://doi.org/10.1093/llc/fqu001
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Review of Automatic Treatment of Learner Corpus Data, Ana Diaz Negrillo, Nicolas Ballier and Paul Thompson, eds. (2013) International Journal of Learner Corpus Research, 172–177. https://benjamins.com/#catalog/journals/ijlcr.1.1.07sch/details
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Determining light verb constructions in contemporary British and Irish English International Journal of Corpus Linguistics, 20, 326–354. https://doi.org/10.1075/ijcl.20.3.03ron
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Of-genitive versus s-genitive: A corpus-based analysis of possessive constructions in 20thcentury English In P. Bennett, M. Durrell, S. Scheible, & R. J. Whitt (Eds.), New Methods in Historical Corpora (pp. 163–180). Narr Verlag.
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Investigating Irish English With ICE-Ireland Cahiers de l’institut de Linguistique et Des Sciences Du Langage, 38, 137–162. https://doi.org/10.26034/la.cdclsl.2013.749
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Discovering new verb-preposition combinations in New Englishes Studies in Variation, Contacts and Change in English, 13, online. http://www.helsinki.fi/varieng/series/volumes/13/schneider_zipp/
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Using semantic resources to improve a syntactic dependency parser (V. Barbu Mititlu, O. Popescu, & V. Pekar, Eds.; pp. 67–76). http://www.lrec-conf.org/proceedings/lrec2012/workshops/10.Semantic%20Relations%20II%20Proceedings.pdf
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Dependency bank 23–28. http://www.lrec-conf.org/proceedings/lrec2012/workshops/05.CMLC-Proceedings.pdf
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Semantic corpus trawling: Expressions of “courtesy” and “politeness” in the Helsinki Corpus In C. Suhr & I. Taavitsainen (Eds.), Developing Corpus Methodology for Historical Pragmatics (No. 11; pp. 1–1). Research Unit for Variation, Contacts and Change in English. http://www.helsinki.fi/varieng/journal/volumes/11/jucker_taavitsainen_schneider/
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Retrieving relatives from historical data Literary and Linguistic Computing, 27, 3–16. https://doi.org/10.1093/llc/fqr049
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Adapting a parser to historical English 10. http://www.helsinki.fi/varieng/journal/volumes/10/schneider/
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Relative complexity in scientific discourse English Language and Linguistics, 16, 209–240. https://doi.org/10.1017/S1360674312000032
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BNC Dependency Bank 1.0 In S. Oksefjell, J. Ebeling, & H. Hasselgard (Eds.), Aspects of corpus linguistics: compilation, annotation, analysis (No. 12; p. online). Research Unit for Variation, Contacts, and Change in English. http://www.helsinki.fi/varieng/journal/volumes/12/lehmann_schneider/
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Using automatically parsed corpora to discover lexico-grammatical features of English varieties 251–258. http://infolingu.univ-mlv.fr/Colloques/lgc/index.php?year=2011&lang=en&page=1
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Detection of interaction articles and experimental methods in biomedical literature BMC Bioinformatics, 12, S13. https://doi.org/10.1186/1471-2105-12-S8-S13
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Text-Mining-Methoden im Semantic Web Wirtschaftsinformatik und Management, 3, 28–35. http://www.wirtschaftsinformatik.de/index.php;do=show/site=wi/sid=d7e6638e9c1f514de6389e5cb0c4b23e/alloc=12/id=2895
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A large-scale investigation of verb-attached prepositional phrases Methodological and Historical Dimensions of Corpus Linguistics, 6. http://www.helsinki.fi/varieng/journal/volumes/06/lehmann_schneider/
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A data-driven approach to alternations based on protein-protein interactions 597–607. http://www.upv.es/pls/obib/sic_publ.FichPublica?P_ARM=6032
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OntoGene (Team 65): preliminary analysis of participation in BioCreative III BioCreative III workshop, Bethesda. http://www.biocreative.org/events/biocreative-iii/
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OntoGene in BioCreative II.5 IEEE - ACM Transactions on Computational Biology and Bioinformatics, 7, 472–480. https://doi.org/10.1109/TCBB.2010.50
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Text Mining Methoden im Semantic Web HMD Praxis der Wirtschaftsinformatik, 35–46. http://hmd.dpunkt.de/271/index.html
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Multi-verbal expressions of ‘giving’ in Old English and Old Irish 116. http://ucrel.lancs.ac.uk/publications/cl2009/
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Using a parser as a heuristic tool for the description of New Englishes online. http://www.liv.ac.uk/english/CL2009/index.htm
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UZurich in the BioNLP 2009 Shared Task 28–36. http://www.aclweb.org/anthology/W/W09/W09-1400.pdf
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Detecting protein-protein interactions in biomedical texts using a parser and linguistic resources In A. Gelbukh (Ed.), Computational Linguistics and Intelligent Text Processing (No. 5449; pp. 406–417). Springer. https://doi.org/10.1007/978-3-642-00382-0_33
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Detecting Protein-Protein Interactions in Biomedical Literature Using a Parser In S. Clematide, M. Klenner, & M. Volk (Eds.), Searching Answers (pp. 109–118). MV Verlag.
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Parser-based analysis of syntax-lexis interactions In A. H. Jucker, D. Schreier, & M. Hundt (Eds.), Corpora: Pragmatics and Discourse (No. 68; pp. 477–502). Rodopi. http://www.rodopi.nl/senj.asp?BookId=LC+68
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A New Hybrid Dependency Parser for German In C. Chiarcos, R. E. de Castilho, & M. Stede (Eds.), Von der Form zur Bedeutung: Texte automatisch verarbeiten / From Form to Meaning: Processing Texts Automatically. Proceedings of the Biennial GSCL Conference 2009 (pp. 115–124). Narr.
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Fishing for compliments: precision and recall in corpus-linguistic compliment research In A. H. Jucker & I. Taavitsainen (Eds.), Speech acts in the history of English (No. 176; pp. 273–294). John Benjamins. http://www.benjamins.com/cgi-bin/t_bookview.cgi?bookid=P%26bns_176
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A Broad-Coverage, Representationally Minimalist LFG Parser: Chunks and F-Structures Are Enough LFG05, Bergen. http://cslipublications.stanford.edu/LFG/10/lfg05schneider.pdf