@misc{fabre:hal-02272435,
  TITLE = {{Modeling Conventionalization and Predictability in Multi-Word Expressions at Brain-level}},
  AUTHOR = {Fabre, Murielle and Bhattasali, Shohini and Pallier, Christophe and Hale, John},
  URL = {https://scholarworks.umass.edu/scil/vol3/iss1/},
  HOWPUBLISHED = {{Proceedings of the Society for Computation in Linguistics}},
  YEAR = {2019},
  pages = {110--119},
}

@article{Wilkinson-etal2016,
author={Wilkinson, M. and Dumontier, M. and Aalbersberg, I.},
title={{The FAIR Guiding Principles for scientific data management and stewardship}}, journal={Nature -- Scientific Data},
volume={3}, 
number={160018},
year={2016},
url={https://doi.org/10.1038/sdata.2016.18}
}

@article{Menzel-etal2021, title={Generating linguistically relevant metadata for the {Royal Society Corpus}}, volume={9}, url={https://ricl.aelinco.es/index.php/ricl/article/view/158}, DOI={10.32714/ricl.09.01.02}, abstractNote={&lt;p&gt;This paper provides an overview on metadata generation and management for the Royal Society Corpus (RSC), aiming to encourage discussion about the specific challenges in building substantial diachronic corpora intended to be used for linguistic and humanistic analysis. We discuss the motivations and goals of building the corpus, describe its composition and present the types of metadata it contains. Specifically, we tackle two challenges: first, integration of original metadata from the data providers (JSTOR and the Royal Society); second, derivation of additional linguistically relevant metadata regarding text structure and situational context (register).&lt;/p&#38;gt;}, number={1}, journal={Research in Corpus Linguistics}, author={Menzel, Katrin and Knappen, Jörg and Teich, Elke}, year={2021}, month={Jan.}, pages={1-18} }

@article{SIYANOVACHANTURIA2017111,
title = {Representation and processing of multi-word expressions in the brain},
journal = {Brain and Language},
volume = {175},
pages = {111-122},
year = {2017},
issn = {0093-934X},
doi = {https://doi.org/10.1016/j.bandl.2017.10.004},
url = {https://www.sciencedirect.com/science/article/pii/S0093934X17300986},
author = {Anna Siyanova-Chanturia and Kathy Conklin and Sendy Caffarra and Edith Kaan and Walter J.B. {van Heuven}},
keywords = {Multi-word expressions, Binomials, Frequency, Predictability, ERPs, P300, N400},
abstract = {Language comprehension is sensitive to the predictability of the upcoming information. Prediction allows for smooth, expedient and successful communication. While general discourse-based constraints have been investigated in detail, more specific phrase-level prediction has received little attention. We address this gap by exploring the ERPs elicited during the comprehension of English binomials – familiar and predictable multi-word expressions. In Experiment 1a, participants read binomial expressions (knife and fork), infrequent strongly associated phrases (spoon and fork), and semantic violations (theme and fork). In Experiment 1b, participants read the same stimuli without “and”. Experiment 1a revealed that binomials elicited larger P300s and smaller N400s compared to the other conditions, reflecting the activation of a ‘template’ that matches the upcoming information (P300) and pointing to easier semantic integration (N400). In contrast, no differences were observed between binomials and associates in Experiment 1b. We conclude that distinct mechanisms underlie the processing of predicable and novel sequences.}
}

@Inbook{WahlGries2018,
author="Wahl, Alexander and Gries, Stefan Th.",
editor="Cantos-G{\'o}mez, Pascual and Almela-S{\'a}nchez, Mois{\'e}s",
chapter="Multi-word Expressions: A Novel Computational Approach to Their Bottom-Up Statistical Extraction",
title="Lexical Collocation Analysis: Advances and Applications",
year="2018",
publisher="Springer International Publishing",
address="Cham",
pages="85-109",
abstract="In this paper, we introduce and validate a new bottom-up approach to the identification/extraction of multi-word expressions in corpora. This approach, called Multi-word Expressions from the Recursive Grouping of Elements (MERGE), is based on the successive combination of bigrams to form word sequences of various lengths. The selection of bigrams to be ``merged'' is based on the use of a lexical association measure, log likelihood (Dunning, Computational Linguistics 19:61--74, 1993). We apply the algorithm to two corpora and test its performance both on its own merits and against a competing algorithm from the literature, the adjusted frequency list (O'Donnell, ICAME Journal 35:135--169, 2011). Performance of the algorithms is evaluated via human ratings of the multi-word expression candidates that they generate. Ultimately, MERGE is shown to offer a very competitive approach to MWE extraction.",
isbn="978-3-319-92582-0",
doi="10.1007/978-3-319-92582-0_5",
url="https://doi.org/10.1007/978-3-319-92582-0_5"
}

@inproceedings{fillmore1979,
  author={Fillmore, Charles L.} ,
  year = {1979},
  title = {On fluency},
  editor = {C. J. Fillmore and D. Kempler and W.S. Wang},
  booktitle = {Individual differences in language ability and language behaviour}, 
  pages = {85-101},
  place = {New York},
  publisher = {Academic Press},
}  

@article{biberbarbieri2007,
  author= {Douglas Biber and Federica Barbieri},
  year = {2007}, 
  title = {Lexical bundles in university spoken and written registers},
  journal = {English for Specific Purposes}, 
  volume = {26},
  issue = {3},
  pages = {263–286},
}  

@inproceedings{salehicookbaldwin2015,
  author = {Bahar Salehi and Paul Cook and Timothy Baldwin},
  year = {2015},
  title = {A word embedding approach to predicting the compositionality of multiword expressions},
  booktitle = {Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics:  Human Language Technologies},
  place = {Denver, Colorado}, 
  pages = {977–983},
}  

@inproceedings{goldberg-orwant-2013-dataset,
    title = "A Dataset of Syntactic-Ngrams over Time from a Very Large Corpus of {E}nglish Books",
    author = "Goldberg, Yoav  and
      Orwant, Jon",
    booktitle = "Second Joint Conference on Lexical and Computational Semantics (*{SEM}), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity",
    month = jun,
    year = "2013",
    address = "Atlanta, Georgia, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/S13-1035",
    pages = "241--247",
}

@inproceedings{iwatsuki-aizawa-2021,
  author = {Kenichi Iwatsuki and Akiko Aizawa},
  year = {2021}, 
  title = {Communicative-Function-Based Sentence Classification for Construction of an Academic Formulaic Expression Database},
  booktitle = {Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics}, 
  pages = {3476–3497},
}

@inproceedings{beltagy-lo-cohan-2019,
  author = {Iz Beltagy and  Kyle Lo and Arman Cohan},
  year = {2019},
  title = {{SciBERT}: A pretrained language model for scientific text},
  booktitle = {Proceedings of the 2019 Conference on Empirical
Methods in Natural Language Processing and the
9th International Joint Conference on Natural Language
Processing (EMNLP-IJCNLP)},
  pages = {3615-3620}, 
  place = {Hong Kong},
  publisher = {Association for Computational Linguistics},
} 

@article{hyland2008,
  author = {Ken Hyland},
  year = {2008},
  title = {As can be seen: Lexical bundles and disciplinary variation},
  journal = {English for Specific Purposes},
  volume = {27},
  issue = {1},
  pages = {4–21},
}

@article{hylandtse2007,
  author = {Ken Hyland and Polly Tse},
  year = {2007},
  title = {Is there an “academic vocabulary”?}, 
  journal = {TESOL Quarterly}, 
  volume = {41},
  issue = {2},
  pages = {235–253},
}

@inproceedings{keller1981,
  author = {Keller, E.},
  year = {1981},
  title = {Gambits: Conversational strategy signals},
  editor = {F. Coulmas},
  booktitle = {Conversational Routines},
  place = {The Hague},
  publisher = {Mouton}, 
  pages = {93-113},
}

@article{Dilin2012,
  author = {Dilin Liu},
  year = {2012},
  title = {The most frequently-used multi-word constructions in academic written {E}nglish: A multicorpus study},
  journal = {English for Specific Purposes}, 
  volume = {31},
  pages = {25-35},
}  

@article{VlachEllis2010,
  author = {Rita Simpson-Vlach and Nick C. Ellis},
  year = {2010},
  title = {An Academic Formulas List: New Methods in Phraseology Research},
  journal = {Applied Linguistics}, 
  volume = {31},
  issue = {4},
  pages = {487–512},
}  

@book{Swales2004,
  author = {John Malcolm Swales},
  year = {2004},
  title = {Research Genres: Explorations and Applications},
  publisher = {Cambridge University Press}
}

@inproceedings{evert2008,
  author = {Stefan Evert},
  year = {2008},
  title = {Corpora and collocations},
  editor = {A. Lüdeling and M. Kyt{\"o}},
  booktitle = {Corpus linguistics. An international handbook}, 
  volume = {2},
  pages = {1212-1248},
  publisher = {Mouton de Gruyter},
  place = {Berlin}
}  

@article{willemsetal2016,
  author = {Roel M Willems and Stefan L Frank and Annabel D Nijhof and Peter Hagoort and Antal Van den Bosch},
  year = {2016}, 
  title = {Prediction during natural language comprehension},
  journal = {Cerebral Cortex}, 
  volume = {26},
  issue = {6},
  pages = {2506–2516},
}  

@InProceedings{Ramisch-etal2010,
  author = {Carlos Ramisch and Aline Villavicencio and Christian Boitet},
  title = {{MWE}toolkit: {A} Framework for Multiword Expression Identification},
  booktitle = {Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)},
  year = {2010},
  month = {may},
  date = {19-21},
  address = {Valletta, Malta},
  publisher = {ELRA},
  isbn = {2-9517408-6-7},
  language = {english}
}

@inproceedings{bhattasali-etal-2020-modeling,
    title = "Modeling conventionalization and predictability within {MWE}s at the brain level",
    author = "Bhattasali, Shohini  and
      Fabre, Murielle  and
      Pallier, Christophe  and
      Hale, John",
    booktitle = "Proceedings of the Society for Computation in Linguistics 2020",
    month = jan,
    year = "2020",
    address = "New York",
    publisher = "ACL",
    url = "https://aclanthology.org/2020.scil-1.38",
    pages = "313--322",
}

@INPROCEEDINGS{Kermes2012lrec,
author = {Kermes, Hannah},
title = {A methodology for the extraction of information about the usage of formulaic expressions in scientific texts},
booktitle = {Proceedings of the LREC2012},
year = {2012},
address = {Istanbul},
month = {May},
journal = {Proceedings of the LREC2012},
}

@book{Halliday2004,
  title     = "The Language of Science",
  abstract  = "The fifth volume of the collected works of Professor M.A.K. Halliday, The Language of Science explores the semantic character of scientific discourse. The chapters are organized into two sections, one being on grammatical metaphor; the other dealing with scientific English. In language, there exists the potential for constructing new discourses, among them scientific discourse. The volume opens with a new work from Professor Halliday addressing the question, How big is a language? It is a question that goes to the heart of the paradigmatic complexity, or meaning potential, that characterizes language",  keywords  = "Linguistics",
  editor    = "Webster, {Jonathan J.}",
  year      = "2004",
  language  = "English",
  isbn      = "0826458718",
  series    = "The Collected Works of M. A. K. Halliday",
  publisher = "Continuum", 
  author ="Halliday, M.A.K"}

@article{Futrell2020,
author = {Futrell, Richard and Gibson, Edward and Levy, Roger P.},
title = {Lossy-Context Surprisal: An Information-Theoretic Model of Memory Effects in Sentence Processing},
journal = {Cognitive Science},
volume = {44},
number = {3},
pages = {e12814},
keywords = {Psycholinguistics, Sentence processing, Information theory},
doi = {https://doi.org/10.1111/cogs.12814},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/cogs.12814},
eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1111/cogs.12814},
abstract = {Abstract A key component of research on human sentence processing is to characterize the processing difficulty associated with the comprehension of words in context. Models that explain and predict this difficulty can be broadly divided into two kinds, expectation-based and memory-based. In this work, we present a new model of incremental sentence processing difficulty that unifies and extends key features of both kinds of models. Our model, lossy-context surprisal, holds that the processing difficulty at a word in context is proportional to the surprisal of the word given a lossy memory representation of the context—that is, a memory representation that does not contain complete information about previous words. We show that this model provides an intuitive explanation for an outstanding puzzle involving interactions of memory and expectations: language-dependent structural forgetting, where the effects of memory on sentence processing appear to be moderated by language statistics. Furthermore, we demonstrate that dependency locality effects, a signature prediction of memory-based theories, can be derived from lossy-context surprisal as a special case of a novel, more general principle called information locality.},
year = {2020}
}



@article{ArsDemberg2020,
  author = {Fatemeh Torabi Asr and Vera Demberg},
  title = {Interpretation of Discourse Connectives Is Probabilistic: Evidence From the Study of \emph{But} and \emph{Although}},
  journal = {Discourse Processes},
  volume = {57},
  number = {4},
  pages = {376-399},
  year  = {2020},
  publisher = {Routledge},
  doi = {10.1080/0163853X.2019.1700760},
  URL = {https://doi.org/10.1080/0163853X.2019.1700760},
  eprint = {https://doi.org/10.1080/0163853X.2019.1700760}
}

@MastersThesis{Thiry2016,
  Title                    = {A Corpus-Based Approach to Discourse Markers in English Scientific Writing in Diachrony},
  Author                   = {Sarah Thiry},
  School                   = {Saarland University},
  Year                     = {2016}
}

@article{murray1997connectives,
  title={Connectives and narrative text: The role of continuity},
  author={Murray, John D},
  journal={Memory \& Cognition},
  volume={25},
  number={2},
  pages={227--236},
  year={1997},
  publisher={Springer}
}


@article{scholman2020individual,
  title={Individual differences in expecting coherence relations: Exploring the variability in sensitivity to contextual signals in discourse},
  author={Scholman, Merel CJ and Demberg, Vera and Sanders, Ted JM},
  journal={Discourse Processes},
  volume={57},
  number={10},
  pages={844--861},
  year={2020},
  publisher={Taylor \& Francis}
}


@article{kamalski2008forewarning,
  title={The forewarning effect of coherence markers in persuasive discourse: Evidence from persuasion and processing},
  author={Kamalski, Judith and Lentz, Leo and Sanders, Ted and Zwaan, Rolf A},
  journal={Discourse Processes},
  volume={45},
  number={6},
  pages={545--579},
  year={2008},
  publisher={Taylor \& Francis}
}

@article{mcnamara1996learning,
  title={Learning from texts: Effects of prior knowledge and text coherence},
  author={McNamara, Danielle S and Kintsch, Walter},
  journal={Discourse processes},
  volume={22},
  number={3},
  pages={247--288},
  year={1996},
  publisher={Taylor \& Francis}
}

@inproceedings{Degaetano-Ortlieb2016b,
  author = {Stefania Degaetano-Ortlieb and Elke Teich},
  title = {Information-based Modeling of Diachronic Linguistic Change: From Typicality to Productivity},
  booktitle = {Proceedings of the 10th SIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities},
  publisher = {ACL},
  address="Berlin, Germany",
  pages="165--173",
  year = {2016}
}

@article{KermesTeich2012,
author = {Hannah Kermes and Elke Teich},
doi = {doi:10.1515/lexi.2012-0007},
url = {https://doi.org/10.1515/lexi.2012-0007},
title = {Formulaic expressions in scientific texts: Corpus design, extraction and exploration: },
journal = {Lexicographica},
number = {2012},
volume = {28},
year = {2012},
pages = {99--120}
}

@article{CribleDemberg2020,
title = "The role of non-connective discourse cues and their interaction with connectives",
abstract = "The disambiguation and processing of coherence relations is often investigated with a focus on explicit connectives, such as but or so. Other, non-connective cues from the context also facilitate discourse inferences, although their precise disambiguating role and interaction with connectives have been largely overlooked in the psycholinguistic literature so far. This study reports on two crowdsourcing experiments that test the role of contextual cues (parallelism, antonyms, resultative verbs) in the disambiguation of contrast and consequence relations. We compare the effect of contextual cues in conceptually different relations, and with connectives that differ in their semantic precision. Using offline tasks, our results show that contextual cues significantly help disambiguating contrast and consequence relations in the absence of connectives. However, when connectives are present in the context, the effect of cues only holds if the connective is acceptable in the target relation. Overall, our study suggests that cues are decisive on their own, but only secondary in the presence of connectives. These results call for further investigation of the complex interplay between connective types, contextual cues, relation types and other linguistic and cognitive factors.",
keywords = "coherence relations, discourse cues, disambiguation, information density",
author = "Ludivine Crible and Vera Demberg",
year = "2020",
month = nov,
day = "19",
language = "English",
journal = "Pragmatics and Cognition",
issn = "0929-0907",
publisher = "John Benjamins Publishing",
volume="27:2",
pages="313--338"
}

@article{Degaetano-Ortlieb2021,
  author = {Degaetano-Ortlieb, Stefania and Säily, Tanja and Bizzoni, Yuri},
  title = {Registerial Adaptation vs. Innovation Across Situational Contexts: 18th Century Women in Transition},
  journal = {Frontiers in Artificial Intelligence},
  year = {2021},
  volume = {4},
  pages = {56},
  url = {https://www.frontiersin.org/article/10.3389/frai.2021.609970},
  doi = {10.3389/frai.2021.609970}
}

@inproceedings{Mosbach-etal2020,
    title = "A Closer Look at Linguistic Knowledge in Masked Language Models: The Case of Relative Clauses in {A}merican {E}nglish",
    author = "Mosbach, Marius  and
      Degaetano-Ortlieb, Stefania  and
      Krielke, Marie-Pauline  and
      Abdullah, Badr M.  and
      Klakow, Dietrich",
    booktitle = "Proceedings of the 28th International Conference on Computational Linguistics",
    month = dec,
    year = "2020",
    address = "Barcelona, Spain (Online)",
    publisher = "International Committee on Computational Linguistics",
    url = "https://aclanthology.org/2020.coling-main.67",
    doi = "10.18653/v1/2020.coling-main.67",
    pages = "771--787"
}

@inproceedings{Klaus-etal2019,
title={{OCR post-correction of the Royal Society Corpus based on the noisy channel model}},
author={Carsten Klaus and Dietrich Klakow and Peter Fankhauser},
booktitle={Proceedings of the 41. Jahrestagung der Deutschen Gesellschaft fuer Sprachwissenschaft (DGfS2019)},
address={University of Bremen, Germany},
year={2019}
}

@inproceedings{LuiBaldwin2012,
  title={An off-the-shelf language identification tool},
  author={Lui, Marco and Baldwin, Timothy},
  booktitle={Proceedings of the ACL 2012 system demonstrations},
  pages={25--30},
  year={2012}
}

@article{Baklouti2011,
author = {Akila Sellami Baklouti},
doi = {doi:10.1515/text.2011.025},
url = {https://doi.org/10.1515/text.2011.025},
title = {The impact of genre and disciplinary differences on structural choice: Taxis in research article abstracts},
journal = {Text \& Talk},
number = {5},
volume = {31},
year = {2011},
pages = {503--523}
}


@BOOK{Quirk-etal1985,
  title = {A Comprehensive Grammar of the English Language},
  publisher = {Longman},
  year = {1985},
  author = {Quirk, Randolph and Greenbaum, Sidney and Leech, Geoffrey and Svartvik,
	Jan},
  address = {London},
  date-added = {2010-03-09 11:19:11 +0100},
  date-modified = {2010-03-09 11:19:12 +0100},
  owner = {Monica Holtz},
  timestamp = {2007.05.01}
}



@article{ZuffereyGygax2016,
author = {Sandrine Zufferey and Pascal M. Gygax},
title = {The Role of Perspective Shifts for Processing and Translating Discourse Relations},
journal = {Discourse Processes},
volume = {53},
number = {7},
pages = {532-555},
year  = {2016},
publisher = {Routledge},
doi = {10.1080/0163853X.2015.1062839},

URL = { 
        https://doi.org/10.1080/0163853X.2015.1062839
    
},
eprint = { 
        https://doi.org/10.1080/0163853X.2015.1062839
    
}

}

@article{SandersNoordman2000,
  title={The role of coherence relations and their linguistic markers in text processing},
  author={Sanders, Ted JM and Noordman, Leo GM},
  journal={Discourse processes},
  volume={29},
  number={1},
  pages={37--60},
  year={2000},
  publisher={Taylor \& Francis}
}

@book{HallidayMatthiessen2004,
  title={An Introduction to Functional Grammar},
  author={Halliday, M.A.K. and Matthiessen, Christian M.I.M.},
  year={2004},
  publisher={Routledge},
  address={London}
}

@inproceedings{TeichFankhauser2008,
  author = {Elke Teich and Peter Fankhauser},
  title = {Characterizing genre: The case of scientific texts},
  booktitle = {Proceedings of the Conference of the American Association of Corpus Linguistic, (AACL)},
  year = {2008}
}

@phdthesis{Degaetano-Ortlieb2020habil,
  Type = {Habilitation},
  Title = {Language variation and change in English: {I}nsights from computational modeling},
  Author = {Stefania Degaetano-Ortlieb},
  School = {Saarland University},
  Year = {2021}
}

@inproceedings{amin-etal-2021-data,
    title = "Data-driven Identification of Idioms in Song Lyrics",
    author = "Amin, Miriam  and
      Fankhauser, Peter  and
      Kupietz, Marc  and
      Schneider, Roman",
    booktitle = "Proceedings of the 17th Workshop on Multiword Expressions (MWE 2021)",
    month = aug,
    year = "2021",
    address = "Online",
    publisher = "ACL",
    url = "https://aclanthology.org/2021.mwe-1.3",
    doi = "10.18653/v1/2021.mwe-1.3",
    pages = "13--22",
    abstract = "The automatic recognition of idioms poses a challenging problem for NLP applications. Whereas native speakers can intuitively handle multiword expressions whose compositional meanings are hard to trace back to individual word semantics, there is still ample scope for improvement regarding computational approaches. We assume that idiomatic constructions can be characterized by gradual intensities of semantic non-compositionality, formal fixedness, and unusual usage context, and introduce a number of measures for these characteristics, comprising count-based and predictive collocation measures together with measures of context (un)similarity. We evaluate our approach on a manually labelled gold standard, derived from a corpus of German pop lyrics. To this end, we apply a Random Forest classifier to analyze the individual contribution of features for automatically detecting idioms, and study the trade-off between recall and precision. Finally, we evaluate the classifier on an independent dataset of idioms extracted from a list of Wikipedia idioms, achieving state-of-the art accuracy.",
}

@inproceedings{iwatsuki-etal-2020-evaluation,
    title = "An Evaluation Dataset for Identifying Communicative Functions of Sentences in {E}nglish Scholarly Papers",
    author = "Iwatsuki, Kenichi  and
      Boudin, Florian  and
      Aizawa, Akiko",
    booktitle = "Proceedings of the 12th Language Resources and Evaluation Conference",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "ELRA",
    url = "https://aclanthology.org/2020.lrec-1.212",
    pages = "1712--1720",
    abstract = "Formulaic expressions, such as {`}in this paper we propose{'}, are used by authors of scholarly papers to perform communicative functions; the communicative function of the present example is {`}stating the aim of the paper{'}. Collecting such expressions and pairing them with their communicative functions would be highly valuable for various tasks, particularly for writing assistance. However, such collection and paring in a principled and automated manner would require high-quality annotated data, which are not available. In this study, we address this shortcoming by creating a manually annotated dataset for detecting communicative functions in sentences. Starting from a seed list of labelled formulaic expressions, we retrieved new sentences from scholarly papers in the ACL Anthology and asked multiple human evaluators to label communicative functions. To show the usefulness of our dataset, we conducted a series of experiments that determined to what extent sentence representations acquired by recent models, such as word2vec and BERT, can be employed to detect communicative functions in sentences.",
    language = "English",
    ISBN = "979-10-95546-34-4",
}

@ARTICLE{Dotlacil-deHaan2021,
AUTHOR={Dotlačil, Jakub and de Haan, Puck},   
TITLE={Parsing Model and a Rational Theory of Memory},      
JOURNAL={Frontiers in Psychology},      
VOLUME={12},      
PAGES={1989},     
YEAR={2021},      
URL={https://www.frontiersin.org/article/10.3389/fpsyg.2021.657705},       
DOI={10.3389/fpsyg.2021.657705},      
ISSN={1664-1078},   
ABSTRACT={This paper explores how the rational theory of memory summarized in Anderson (<xref ref-type="bibr" rid="B3">1991</xref>) can inform the computational psycholinguistic models of human parsing. It is shown that transition-based parsing is particularly suitable to be combined with Anderson's theory of memory systems. The combination of the rational theory of memory with the transition-based parsers results in a model of sentence processing that is data-driven and can be embedded in the cognitive architecture Adaptive Control of Thought-Rational (ACT-R). The predictions of the parser are tested against qualitative data (garden-path sentences) and a self-paced reading corpus (the Natural Stories corpus).}
}

@ARTICLE{Degaetano-etal2021,
  
AUTHOR={Degaetano-Ortlieb, Stefania and Säily, Tanja and Bizzoni, Yuri},   
	 
TITLE={Registerial Adaptation vs. Innovation Across Situational Contexts: 18th Century Women in Transition},      
	
JOURNAL={Frontiers in Artificial Intelligence},      
	
VOLUME={4},      

PAGES={56},     
	
YEAR={2021},      
	  
URL={https://www.frontiersin.org/article/10.3389/frai.2021.609970},       
	
DOI={10.3389/frai.2021.609970},      
	
ISSN={2624-8212},   
   
ABSTRACT={Endeavors to computationally model language variation and change are ever increasing. While analyses of recent diachronic trends are frequently conducted, long-term trends accounting for sociolinguistic variation are less well-studied. Our work sheds light on the temporal dynamics of language use of British 18th century women as a group in transition across two situational contexts. Our findings reveal that in formal contexts women adapt to register conventions, while in informal contexts they act as innovators of change in language use influencing others. While adopted from other disciplines, our methods inform (historical) sociolinguistic work in novel ways. These methods include diachronic periodization by Kullback-Leibler divergence to determine periods of change and relevant features of variation, and event cascades as influencer models.}
}

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