---
title: "Literature and Literary Theory — papers, page 2"
description: "Literature and Literary Theory: 340 papers of the Elamur Research library · page 2 of 5 · 26–125, the most cited first — our summary of each, its ideas…"
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---
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# 📚 Literature and Literary Theory

340 papers · page 2 of 5 · 26–125 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Literature and Literary Theory is a subfield of Arts and Humanities in the OpenAlex classification of science. The topics most of its papers here are on: «Digital Humanities and Scholarship», «Discourse Analysis in Language Studies», «Second Language Learning and Teaching».

## Papers

[← prev](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/literature-and-literary-theory/) [1](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/literature-and-literary-theory/) **2** [3](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/literature-and-literary-theory/page/3/) [4](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/literature-and-literary-theory/page/4/) [5](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/literature-and-literary-theory/page/5/) [next →](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/literature-and-literary-theory/page/3/)

26. [**Reflections on the Penn Discourse TreeBank, Comparable Corpora, and Complementary Annotation**Rashmi Prasad, Bonnie Webber, Aravind Joshi*2014 · 156 citations*](https://md.research.elamur.ai/free/en/papers/prasad-2014-reflections-penn-discourse-treebank-comparable/)
27. [**Finding Hedges by Chasing Weasels: Hedge Detection Using Wikipedia Tags and Shallow Linguistic Features**Viola Ganter, Michael Strube*2009 · 151 citations*](https://md.research.elamur.ai/free/en/papers/ganter-2009-finding-hedges-chasing-weasels-hedge/)
28. [**RSTTool 2.4 - A markup Tool for Rhetorical Structure Theory**Michael O'Donnell*2000 · 142 citations*](https://md.research.elamur.ai/free/en/papers/donnell-2000-rsttool-2-4-markup-tool/)
29. [**Corpus Pattern Analysis**Patrick Hanks*2004 · 137 citations*](https://md.research.elamur.ai/free/en/papers/hanks-2004-corpus-pattern-analysis/)
30. [**Machine Learning for Ancient Languages: A Survey**Thea Sommerschield, Yannis Assael, John Pavlopoulos, et al.*2023 · 123 citations*](https://md.research.elamur.ai/free/en/papers/sommerschield-2023-machine-learning-ancient-languages-survey/)
31. [**Lexical Chaining for Measuring Discourse Coherence Quality in Test-taker Essays**Swapna Somasundaran, Jill Burstein, Martin Chodorow*2014 · 120 citations*](https://md.research.elamur.ai/free/en/papers/somasundaran-2014-lexical-chaining-measuring-discourse-coherence/)
32. [**The Johns Hopkins University Bible Corpus: 1600+ Tongues for Typological Exploration**Arya D. McCarthy, Rachel Wicks, Dylan Lewis, et al.*2020 · 115 citations*](https://md.research.elamur.ai/free/en/papers/mccarthy-2020-johns-hopkins-university-bible-corpus/)
33. [**An annotated dataset of literary entities**David Bamman, Sejal Popat, Sheng Shen*2019 · 112 citations*](https://md.research.elamur.ai/free/en/papers/bamman-2019-annotated-dataset-literary-entities/)
34. [**Ma(r)king concessions in English and German**Brigitte Grote, Nils Lenke, Manfred Stede*1995 · 111 citations*](https://md.research.elamur.ai/free/en/papers/grote-1995-ma-r-king-concessions-english/)
35. [**Evolution of the most common English words and phrases over the centuries**Matjaz Perc*2012 · 109 citations*](https://md.research.elamur.ai/free/en/papers/perc-2012-evolution-most-common-english-words/)
36. [**A Large-Scale Comparison of Historical Text Normalization Systems**Marcel Bollmann*2019 · 99 citations*](https://md.research.elamur.ai/free/en/papers/bollmann-2019-large-scale-comparison-historical-text/)
37. [**Building Large Corpora from the Web Using a New Efficient Tool Chain**Roland Schäfer, Felix Bildhauer*2012 · 86 citations*](https://md.research.elamur.ai/free/en/papers/schafer-2012-building-large-corpora-web-new/)
38. [**SciDTB: Discourse Dependency TreeBank for Scientific Abstracts**An Yang, Sujian Li*2018 · 83 citations*](https://md.research.elamur.ai/free/en/papers/yang-2018-scidtb-discourse-dependency-treebank-scientific/)
39. [**Annotation upon Annotation: Adding Signalling Information to a Corpus of Discourse Relations**Maite Taboada, Debopam Das*2013 · 81 citations*](https://md.research.elamur.ai/free/en/papers/taboada-2013-annotation-upon-annotation-adding-signalling/)
40. [**Discourse Relations: A Structural and Presuppositional Account Using Lexicalised TAG**Bonnie Webber, Alistair Knott, Matthew Stone, et al.*1999 · 70 citations*](https://md.research.elamur.ai/free/en/papers/webber-1999-discourse-relations-structural-presuppositional-account/)
41. [**Restoration of Fragmentary Babylonian Texts Using Recurrent Neural Networks**Ethan Fetaya, Yonatan Lifshitz, Elad Aaron, et al.*2020 · 65 citations*](https://md.research.elamur.ai/free/en/papers/fetaya-2020-restoration-fragmentary-babylonian-texts-using/)
42. [**CCOHA: Clean Corpus of Historical American English**Reem Alatrash, Dominik Schlechtweg, Jonas Kuhn, et al.*2020 · 63 citations*](https://md.research.elamur.ai/free/en/papers/alatrash-2020-ccoha-clean-corpus-historical-american/)
43. [**Etymological Wordnet: Tracing The History of Words**Gerard de Melo*2014 · 56 citations*](https://md.research.elamur.ai/free/en/papers/melo-2014-demelo-etymological-wordnet/)
44. [**Rhetorical Move Detection in English Abstracts: Multi-label Sentence Classifiers and their Annotated Corpora**Carmen Dayrell, Arnaldo Candido Jr., Gabriel Lima, et al.*2012 · 55 citations*](https://md.research.elamur.ai/free/en/papers/dayrell-2012-rhetorical-move-detection-english-abstracts/)
45. [**Discourse Markers in Speech: Distinctive Features and Corpus Annotation**Ludivine Crible, Maria-Josep Cuenca*2017 · 53 citations*](https://md.research.elamur.ai/free/en/papers/crible-2017-discourse-markers-speech-distinctive-features/)
46. [**Normalisation of Historical Text Using Context-Sensitive Weighted Levenshtein Distance and Compound Splitting**Eva Pettersson, Beáta Megyesi, Joakim Nivre*2013 · 53 citations*](https://md.research.elamur.ai/free/en/papers/pettersson-2013-normalisation-historical-text-context-sensitive/)
47. [**The Centre and Periphery of Discourse Connectives**Magdaléna Rysová, Kateřina Rysová*2014 · 52 citations*](https://md.research.elamur.ai/free/en/papers/rysova-2014-centre-periphery-discourse-connectives/)
48. [**Artificial intelligence based writer identification generates new evidence for the unknown scribes of the Dead Sea Scrolls exemplified by the Great Isaiah Scroll (1QIsaᵃ)**Mladen Popovic, Maruf A. Dhali, Lambert Schomaker*2020 · 51 citations*](https://md.research.elamur.ai/free/en/papers/popovic-2020-artificial-intelligence-based-writer-identification/)
49. [**Rule-Based Normalization of Historical Texts**Marcel Bollmann, Florian Petran, Stefanie Dipper*2011 · 51 citations*](https://md.research.elamur.ai/free/en/papers/bollmann-2011-rule-based-normalization-historical-texts/)
50. [**Discourse Annotation in the PDTB: The Next Generation**Rashmi Prasad, Bonnie Webber, Alan Lee*2018 · 50 citations*](https://md.research.elamur.ai/free/en/papers/prasad-2018-discourse-annotation-pdtb-next-generation/)
51. [**“Caption” as a Coherence Relation: Evidence and Implications**Malihe Alikhani, Matthew Stone*2019 · 48 citations*](https://md.research.elamur.ai/free/en/papers/alikhani-2019-caption-as-coherence-relation-evidence/)
52. [**A Gold Standard Corpus of Early Modern German**Silke Scheible, Richard J. Whitt, Martin Durrell, et al.*2011 · 48 citations*](https://md.research.elamur.ai/free/en/papers/scheible-2011-gold-standard-corpus-early-modern/)
53. [**Epistemic Modality and Knowledge Attribution in Scientific Discourse: A Taxonomy of Types and Overview of Features**Anita de Waard, Henk Pander Maat*2012 · 46 citations*](https://md.research.elamur.ai/free/en/papers/waard-2012-epistemic-modality-knowledge-attribution-scientific/)
54. [**Unsupervised Decomposition of a Document into Authorial Components**Moshe Koppel, Navot Akiva, Idan Dershowitz, et al.*2011 · 46 citations*](https://md.research.elamur.ai/free/en/papers/koppel-2011-unsupervised-decomposition-document-into-authorial/)
55. [**Annotating Attribution in the Penn Discourse TreeBank**Rashmi Prasad, Nikhil Dinesh, Alan Lee, et al.*2006 · 46 citations*](https://md.research.elamur.ai/free/en/papers/prasad-2006-annotating-attribution-penn-discourse-treebank/)
56. [**Part-of-Speech Tagging for Historical English**Yi Yang, Jacob Eisenstein*2016 · 45 citations*](https://md.research.elamur.ai/free/en/papers/yang-2016-part-speech-tagging-historical-english/)
57. [**A Multi-Level Account of Cleft Constructions in Discourse**J. L. Delin*1990 · 45 citations*](https://md.research.elamur.ai/free/en/papers/delin-1990-multi-level-account-cleft-constructions/)
58. [**SQUINKY! A Corpus of Sentence-level Formality, Informativeness, and Implicature**Shibamouli Lahiri*2015 · 44 citations*](https://md.research.elamur.ai/free/en/papers/lahiri-2015-squinky-corpus-sentence-level-formality/)
59. [**Discourse Coherence: Concurrent Explicit and Implicit Relations**Hannah Rohde, Alexander Johnson, Nathan Schneider, et al.*2018 · 40 citations*](https://md.research.elamur.ai/free/en/papers/rohde-2018-discourse-coherence-concurrent-explicit-implicit/)
60. [**Weasels, Hedges and Peacocks: Discourse-level Uncertainty in Wikipedia Articles**Veronika Vincze*2013 · 40 citations*](https://md.research.elamur.ai/free/en/papers/vincze-2013-weasels-hedges-peacocks-discourse-level/)
61. [**Crowdsourcing Discourse Relation Annotations by a Two-Step Connective Insertion Task**Frances Yung, Vera Demberg, Merel Scholman*2019 · 39 citations*](https://md.research.elamur.ai/free/en/papers/yung-2019-crowdsourcing-discourse-relation-annotations-two/)
62. [**Hedge Detection as a Lens on Framing in the GMO Debates: A Position Paper**Eunsol Choi, Chenhao Tan, Lillian Lee, et al.*2012 · 39 citations*](https://md.research.elamur.ai/free/en/papers/choi-2012-hedge-detection-as-lens-framing/)
63. [**The Icelandic Parsed Historical Corpus (IcePaHC)**Eiríkur Rögnvaldsson, Anton Karl Ingason, Einar Freyr Sigurðsson, et al.*2012 · 39 citations*](https://md.research.elamur.ai/free/en/papers/rognvaldsson-2012-icelandic-parsed-historical-corpus-icepahc/)
64. [**CITE: A Corpus of Image-Text Discourse Relations**Malihe Alikhani, Sreyasi Nag Chowdhury, Gerard de Melo, et al.*2019 · 37 citations*](https://md.research.elamur.ai/free/en/papers/alikhani-2019-cite-corpus-image-text-discourse/)
65. [**How compatible are our discourse annotation frameworks? Insights from mapping RST-DT and PDTB annotations**Vera Demberg, Merel C.J. Scholman, Fatemeh Torabi Asr*2019 · 36 citations*](https://md.research.elamur.ai/free/en/papers/demberg-2019-how-compatible-are-our-discourse/)
66. [**Relative contributions of Shakespeare and Fletcher in Henry VIII: An Analysis Based on Most Frequent Words and Most Frequent Rhythmic Patterns**Petr Plechač*2019 · 36 citations*](https://md.research.elamur.ai/free/en/papers/plecha-vc-2019-relative-contributions-shakespeare-fletcher-henry/)
67. [**Building a 70 billion word corpus of English from ClueWeb**Jan Pomikálek, Miloš Jakubíček, Pavel Rychlý*2012 · 33 citations*](https://md.research.elamur.ai/free/en/papers/pomikalek-2012-building-70-billion-word-corpus/)
68. [**POS Tagging for Historical Texts with Sparse Training Data**Marcel Bollmann*2013 · 32 citations*](https://md.research.elamur.ai/free/en/papers/bollmann-2013-pos-tagging-historical-texts-sparse/)
69. [**Part-of-Speech Tagging for Middle English through Alignment and Projection of Parallel Diachronic Texts**Taesun Moon, Jason Baldridge*2007 · 32 citations*](https://md.research.elamur.ai/free/en/papers/moon-2007-part-speech-tagging-middle-english/)
70. [**eRST: A Signaled Graph Theory of Discourse Relations and Organization**Amir Zeldes, Tatsuya Aoyama, Yang Janet Liu, et al.*2025 · 31 citations*](https://md.research.elamur.ai/free/en/papers/zeldes-2025-erst-signaled-graph-theory-discourse/)
71. [**Examples and Specifications that Prove a Point: Identifying Elaborative and Argumentative Discourse Relations**Merel C.J. Scholman, Vera Demberg*2017 · 31 citations*](https://md.research.elamur.ai/free/en/papers/scholman-2017-examples-specifications-that-prove-point/)
72. [**Factors Influencing the Implicitation of Discourse Relations across Languages**Jet Hoek, Sandrine Zufferey*2015 · 30 citations*](https://md.research.elamur.ai/free/en/papers/hoek-2015-factors-influencing-implicitation-discourse-relations/)
73. [**World Englishes and English Language Teaching: A pragmatic and humanistic approach**Subrata Kumar Bhowmik*2015 · 30 citations*](https://md.research.elamur.ai/free/en/papers/bhowmik-2015-world-englishes-english-language-teaching/)
74. [**Lexical marking of discourse relations - some experimental findings**Claudia Soria, Giacomo Ferrari*1998 · 30 citations*](https://md.research.elamur.ai/free/en/papers/soria-1998-lexical-marking-discourse-relations-some/)
75. [**Deciphering Undersegmented Ancient Scripts Using Phonetic Prior**Jiaming Luo, Frederik Hartmann, Enrico Santus, et al.*2021 · 29 citations*](https://md.research.elamur.ai/free/en/papers/luo-2021-deciphering-undersegmented-ancient-scripts-phonetic/)
76. [**TED-Q: TED Talks and the Questions they Evoke**Matthijs Westera, Laia Mayol, Hannah Rohde*2020 · 29 citations*](https://md.research.elamur.ai/free/en/papers/westera-2020-ted-q-ted-talks-questions/)
77. [**Normalizing Early English Letters to Present-day English Spelling**Mika Hämäläinen, Tanja Säily, Jack Rueter, et al.*2018 · 29 citations*](https://md.research.elamur.ai/free/en/papers/hamalainen-2018-normalizing-early-english-letters-present/)
78. [**Categories of coherence relations in discourse annotation**Merel C.J. Scholman, Jacqueline Evers-Vermeul, Ted J.M. Sanders*2016 · 29 citations*](https://md.research.elamur.ai/free/en/papers/scholman-2016-categories-coherence-relations-discourse-annotation/)
79. [**Holistic Discourse Coherence Annotation for Noisy Essay Writing**Jill Burstein, Joel Tetreault, Martin Chodorow*2013 · 28 citations*](https://md.research.elamur.ai/free/en/papers/burstein-2013-holistic-discourse-coherence-annotation-noisy/)
80. [**RiQuA: A Corpus of Rich Quotation Annotation for English Literary Text**Sean Papay, Sebastian Padó*2020 · 27 citations*](https://md.research.elamur.ai/free/en/papers/papay-2020-riqua-corpus-rich-quotation-annotation/)
81. [**An Account of Opinion Implicatures**Janyce Wiebe, Lingjia Deng*2014 · 26 citations*](https://md.research.elamur.ai/free/en/papers/wiebe-2014-account-opinion-implicatures/)
82. [**ZeuScansion: A tool for scansion of English poetry**Manex Agirrezabal, Aitzol Astigarraga, Bertol Arrieta, et al.*2016 · 25 citations*](https://md.research.elamur.ai/free/en/papers/agirrezabal-2016-zeuscansion-tool-scansion-english-poetry/)
83. [**The Role of Pragmatic and Discourse Context in Determining Argument Impact**Esin Durmus, Faisal Ladhak, Claire Cardie*2019 · 24 citations*](https://md.research.elamur.ai/free/en/papers/durmus-2019-role-pragmatic-discourse-context-determining/)
84. [**The Good, the Bad, and the Disagreement: Complex ground truth in rhetorical structure analysis**Debopam Das, Manfred Stede, Maite Taboada*2017 · 24 citations*](https://md.research.elamur.ai/free/en/papers/das-2017-good-bad-disagreement-complex-ground/)
85. [**Dating ancient manuscripts using radiocarbon and AI-based writing style analysis**Mladen Popovic, Maruf A. Dhali, Lambert Schomaker, et al.*2024 · 23 citations*](https://md.research.elamur.ai/free/en/papers/popovic-2024-dating-ancient-manuscripts-using-radiocarbon/)
86. [**DiscoGeM: A Crowdsourced Corpus of Genre-Mixed Implicit Discourse Relations**Merel Scholman, Tianai Dong, Frances Yung, et al.*2022 · 23 citations*](https://md.research.elamur.ai/free/en/papers/scholman-2022-discogem-crowdsourced-corpus-genre-mixed/)
87. [**Nakdan: Professional Hebrew Diacritizer**Avi Shmidman, Shaltiel Shmidman, Moshe Koppel, et al.*2020 · 23 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2020-nakdan-professional-hebrew-diacritizer/)
88. [**MCDTB: A Macro-level Chinese Discourse TreeBank**Feng Jiang, Sheng Xu, Xiaomin Chu, et al.*2018 · 23 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2018-mcdtb-macro-level-chinese-discourse/)
89. [**Recovering discourse relations: Varying influence of discourse adverbials**Hannah Rohde, Anna Dickinson, Chris Clark, et al.*2015 · 23 citations*](https://md.research.elamur.ai/free/en/papers/rohde-2015-recovering-discourse-relations-varying-influence/)
90. [**Is language evolution grinding to a halt? The scaling of lexical turbulence in English fiction suggests it is not**Eitan Adam Pechenick, Christopher M. Danforth, Peter Sheridan Dodds*2015 · 22 citations*](https://md.research.elamur.ai/free/en/papers/pechenick-2015-language-evolution-grinding-halt-scaling/)
91. [**Towards Coreference for Literary Text: Analyzing Domain-Specific Phenomena**Ina Roesiger, Sarah Schulz, Nils Reiter*2018 · 21 citations*](https://md.research.elamur.ai/free/en/papers/roesiger-2018-coreference-literary-text-analyzing-domain/)
92. [**Stylometric Analysis of Early Modern Period English Plays**Mark Eisen, Santiago Segarra, Gabriel Egan, et al.*2016 · 21 citations*](https://md.research.elamur.ai/free/en/papers/eisen-2016-stylometric-analysis-early-modern-period/)
93. [**GCDT: A Chinese RST Treebank for Multigenre and Multilingual Discourse Parsing**Siyao Peng, Yang Janet Liu, Amir Zeldes*2022 · 20 citations*](https://md.research.elamur.ai/free/en/papers/peng-2022-gcdt-chinese-rst-treebank-multigenre/)
94. [**Spelling Normalization of Historical Documents by Using a Machine Translation Approach**Miguel Domingo, Francisco Casacuberta*2018 · 20 citations*](https://md.research.elamur.ai/free/en/papers/domingo-2018-spelling-normalization-historical-documents-machine/)
95. [**Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design**Valentina Pyatkin, Frances Yung, Merel C. J. Scholman, et al.*2023 · 19 citations*](https://md.research.elamur.ai/free/en/papers/pyatkin-2023-design-choices-crowdsourcing-implicit-discourse/)
96. [**Neural Language Models for Nineteenth-Century English**Kasra Hosseini, Kaspar Beelen, Giovanni Colavizza, et al.*2021 · 19 citations*](https://md.research.elamur.ai/free/en/papers/hosseini-2021-neural-language-models-nineteenth-century/)
97. [**Improving historical spelling normalization with bi-directional LSTMs and multi-task learning**Marcel Bollmann, Anders Søgaard*2016 · 19 citations*](https://md.research.elamur.ai/free/en/papers/bollmann-2016-improving-historical-spelling-normalization-bi/)
98. [**A Discourse Signal Annotation System for RST Trees**Luke Gessler, Yang Liu, Amir Zeldes*2019 · 18 citations*](https://md.research.elamur.ai/free/en/papers/gessler-2019-discourse-signal-annotation-system-rst/)
99. [**Common Ground Tracking in Multimodal Dialogue**Ibrahim Khalil Khebour, Kenneth Lai, Mariah Bradford, et al.*2024 · 17 citations*](https://md.research.elamur.ai/free/en/papers/khebour-2024-common-ground-tracking-multimodal-dialogue/)
100. [**Beyond The Wall Street Journal: Anchoring and Comparing Discourse Signals across Genres**Yang Liu*2019 · 16 citations*](https://md.research.elamur.ai/free/en/papers/liu-2019-beyond-wall-street-journal-anchoring/)
101. [**TEI-Lex0 Guidelines for the Encoding of Dictionary Information on Written and Spoken Forms**Piotr Bański, Jack Bowers, Tomaž Erjavec*2017 · 16 citations*](https://md.research.elamur.ai/free/en/papers/banski-2017-tei-lex0-forms/)
102. [**Representing discourse coherence: A corpus-based analysis**Florian Wolf, Edward Gibson*2004 · 16 citations*](https://md.research.elamur.ai/free/en/papers/wolf-2004-representing-discourse-coherence-corpus-based/)
103. [**A Lexicon-Based Approach for Detecting Hedges in Informal Text**Jumayel Islam, Lu Xiao, Robert E. Mercer*2020 · 15 citations*](https://md.research.elamur.ai/free/en/papers/islam-2020-lexicon-based-approach-detecting-hedges/)
104. [**GerDraCor-Coref: A Coreference Corpus for Dramatic Texts in German**Janis Pagel, Nils Reiter*2020 · 15 citations*](https://md.research.elamur.ai/free/en/papers/pagel-2020-gerdracor-coref-coreference-corpus-dramatic/)
105. [**Using Hedge Detection to Improve Committed Belief Tagging**Morgan Ulinski, Seth Benjamin, Julia Hirschberg*2018 · 15 citations*](https://md.research.elamur.ai/free/en/papers/ulinski-2018-hedge-detection-improve-committed-belief/)
106. [**Comparing Rule-based and SMT-based Spelling Normalisation for English Historical Texts**Gerold Schneider, Eva Pettersson, Michael Percillier*2017 · 15 citations*](https://md.research.elamur.ai/free/en/papers/schneider-2017-comparing-rule-based-smt-based/)
107. [**Developing the Bangla RST Discourse Treebank**Debopam Das, Manfred Stede*2018 · 14 citations*](https://md.research.elamur.ai/free/en/papers/das-2018-developing-bangla-rst-discourse-treebank/)
108. [**Beyond Identity Coreference: Contrasting Indicators of Textual Coherence in English and German**Kerstin Kunz, Ekaterina Lapshinova-Koltunski, José Manuel Martínez*2016 · 14 citations*](https://md.research.elamur.ai/free/en/papers/kunz-2016-beyond-identity-coreference-contrasting-indicators/)
109. [**Toward a Period-Specific Optimized Neural Network for OCR Error Correction of Historical Hebrew Texts**Omri Suissa, Maayan Zhitomirsky-Geffet, Avshalom Elmalech*2023 · 13 citations*](https://md.research.elamur.ai/free/en/papers/suissa-2023-toward-period-specific-optimized-neural/)
110. [**Introducing BEREL: BERT Embeddings for Rabbinic-Encoded Language**Avi Shmidman, Joshua Guedalia, Shaltiel Shmidman, et al.*2022 · 13 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2022-introducing-berel-bert-embeddings-rabbinic/)
111. [**Identification of Parallel Passages Across a Large Hebrew/Aramaic Corpus**Avi Shmidman, Moshe Koppel, Ely Porat*2016 · 13 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2016-identification-parallel-passages-across-large/)
112. [**Developing LMF-XML Bilingual Dictionaries for Colloquial Arabic Dialects**David Graff, Mohamed Maamouri*2012 · 13 citations*](https://md.research.elamur.ai/free/en/papers/graff-2012-developing-lmf-xml-bilingual-dictionaries/)
113. [**From Plenipotentiary to Puddingless: Users and Uses of New Words in Early English Letters**Tanja Saily, Eetu Makela, Mika Hamalainen*2021 · 12 citations*](https://md.research.elamur.ai/free/en/papers/saily-2021-plenipotentiary-puddingless-users-uses-new/)
114. [**Semi-supervised Contextual Historical Text Normalization**Peter Makarov, Simon Clematide*2020 · 12 citations*](https://md.research.elamur.ai/free/en/papers/makarov-2020-semi-supervised-contextual-historical-text/)
115. [**Evaluating Historical Text Normalization Systems: How Well Do They Generalize?**Alexander Robertson, Sharon Goldwater*2018 · 12 citations*](https://md.research.elamur.ai/free/en/papers/robertson-2018-evaluating-historical-text-normalization-systems/)
116. [**A Universal Dependencies Conversion Pipeline for a Penn-format Constituency Treebank**Þórunn Arnardóttir, Hinrik Hafsteinsson, Einar Freyr Sigurðsson, et al.*2020 · 11 citations*](https://md.research.elamur.ai/free/en/papers/arnardottir-2020-universal-dependencies-conversion-pipeline-penn/)
117. [**Teaching English as an International Language (EIL) in Nepal**Mohan Singh Saud*2020 · 11 citations*](https://md.research.elamur.ai/free/en/papers/saud-2020-teaching-english-international-language-eil/)
118. [**SciCorp: A Corpus of English Scientific Articles Annotated for Information Status Analysis**Ina Roesiger*2016 · 11 citations*](https://md.research.elamur.ai/free/en/papers/roesiger-2016-scicorp-corpus-english-scientific-articles/)
119. [**The Hebrew Bible as Data: Laboratory – Sharing – Experiences**Dirk Roorda*2015 · 11 citations*](https://md.research.elamur.ai/free/en/papers/roorda-2015-hebrew-bible-data-laboratory-sharing/)
120. [**A Corpus for Sentence-Level Subjectivity Detection on English News Articles**Francesco Antici, Federico Ruggeri, Andrea Galassi, et al.*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/antici-2024-corpus-sentence-level-subjectivity-detection/)
121. [**Mapping Explicit and Implicit Discourse Relations between the RST-DT and the PDTB 3.0**Nelson Filipe Costa, Nadia Sheikh, Leila Kosseim*2023 · 10 citations*](https://md.research.elamur.ai/free/en/papers/costa-2023-mapping-explicit-implicit-discourse-relations/)
122. [**Kolmogorov complexity of morphs and constructions in English**Katharina Ehret*2014 · 10 citations*](https://md.research.elamur.ai/free/en/papers/ehret-2014-kolmogorov-complexity-morphs-constructions-english/)
123. [**Analyses of the Association between Discourse Relation and Sentiment Polarity with a Chinese Human-Annotated Corpus**Hen-Hsen Huang, Chi-Hsin Yu, Tai-Wei Chang, et al.*2013 · 10 citations*](https://md.research.elamur.ai/free/en/papers/huang-2013-analyses-association-between-discourse-relation/)
124. [**Computational analyses of the topics, sentiments, literariness, creativity and beauty of texts in a large Corpus of English Literature**Arthur M. Jacobs, Annette Kinder*2022 · 9 citations*](https://md.research.elamur.ai/free/en/papers/jacobs-2022-computational-analyses-topics-sentiments-literariness/)
125. [**The Index Thomisticus Treebank as Linked Data in the LiLa Knowledge Base**Francesco Mambrini, Marco Passarotti, Giovanni Moretti, et al.*2022 · 9 citations*](https://md.research.elamur.ai/free/en/papers/mambrini-2022-index-thomisticus-treebank-as-linked/)

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