---
title: "Developmental and Educational Psychology — papers, page 2"
description: "Developmental and Educational Psychology: 202 papers of the Elamur Research library · page 2 of 3 · 26–125, the most cited first — our summary of each…"
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---
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# 💭 Developmental and Educational Psychology

202 papers · page 2 of 3 · 26–125 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Developmental and Educational Psychology is a subfield of Psychology in the OpenAlex classification of science. The topics most of its papers here are on: «Language Development and Disorders», «Second Language Acquisition and Learning», «Reading and Literacy Development».

## Papers

[← prev](https://md.research.elamur.ai/free/en/shelves/psychology/developmental-and-educational-psychology/) [1](https://md.research.elamur.ai/free/en/shelves/psychology/developmental-and-educational-psychology/) **2** [3](https://md.research.elamur.ai/free/en/shelves/psychology/developmental-and-educational-psychology/page/3/) [next →](https://md.research.elamur.ai/free/en/shelves/psychology/developmental-and-educational-psychology/page/3/)

26. [**An “AI readability” Formula for French as a Foreign Language**Thomas François, Cédrick Fairon*2012 · 174 citations*](https://md.research.elamur.ai/free/en/papers/francois-2012-ai-readability-formula-french-as/)
27. [**Reasoning Over Paragraph Effects in Situations**Kevin Lin, Oyvind Tafjord, Peter Clark, et al.*2019 · 171 citations*](https://md.research.elamur.ai/free/en/papers/lin-2019-reasoning-over-paragraph-effects-situations/)
28. [**Morfessor 2.0: Toolkit for statistical morphological segmentation**Peter Smit, Sami Virpioja, Stig-Arne Grönroos, et al.*2014 · 168 citations*](https://md.research.elamur.ai/free/en/papers/smit-2014-morfessor-2-0-toolkit-statistical/)
29. [**The AMARA Corpus: Building Parallel Language Resources for the Educational Domain**Ahmed Abdelali, Francisco Guzman, Hassan Sajjad, et al.*2014 · 165 citations*](https://md.research.elamur.ai/free/en/papers/abdelali-2014-amara-corpus-building-parallel-language/)
30. [**Testing the Predictions of Surprisal Theory in 11 Languages**Ethan G. Wilcox, Tiago Pimentel, Clara Meister, et al.*2023 · 158 citations*](https://md.research.elamur.ai/free/en/papers/wilcox-2023-testing-predictions-surprisal-theory-11/)
31. [**A Span-Extraction Dataset for Chinese Machine Reading Comprehension**Yiming Cui, Ting Liu, Wanxiang Che, et al.*2018 · 156 citations*](https://md.research.elamur.ai/free/en/papers/cui-2018-span-extraction-dataset-chinese/)
32. [**SemEval-2021 Task 1: Lexical Complexity Prediction**Matthew Shardlow, Richard Evans, Gustavo Henrique Paetzold, et al.*2021 · 155 citations*](https://md.research.elamur.ai/free/en/papers/shardlow-2021-semeval-2021-task-1-lexical/)
33. [**TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions**Qiang Ning, Hao Wu, Rujun Han, et al.*2020 · 149 citations*](https://md.research.elamur.ai/free/en/papers/ning-2020-torque-reading-comprehension-dataset-temporal/)
34. [**Comprehensive Annotation of Multiword Expressions in a Social Web Corpus**Nathan Schneider, Spencer Onuffer, Nora Kazour, et al.*2014 · 120 citations*](https://md.research.elamur.ai/free/en/papers/schneider-2014-comprehensive-annotation-multiword-expressions-social/)
35. [**Pretraining Language Models with Human Preferences**Tomasz Korbak, Kejian Shi, Angelica Chen, et al.*2023 · 117 citations*](https://md.research.elamur.ai/free/en/papers/korbak-2023-pretraining-language-models-human-preferences/)
36. [**MorphoLex: A derivational morphological database for 70,000 English words**Claudia H. Sánchez-Gutiérrez, Hugo Mailhot, S. Hélène Deacon, et al.*2018 · 115 citations*](https://md.research.elamur.ai/free/en/papers/gutierrez-2018-sanchezgutierrez-morpholex/)
37. [**The SIGMORPHON 2022 Shared Task on Morpheme Segmentation**Khuyagbaatar Batsuren, Gabor Bella, Aryaman Arora*2022 · 71 citations*](https://md.research.elamur.ai/free/en/papers/batsuren-2022-morpheme-segmentation/)
38. [**Multiword Expressions in the wild? The mwetoolkit comes in handy**Carlos Ramisch, Aline Villavicencio, Christian Boitet*2010 · 69 citations*](https://md.research.elamur.ai/free/en/papers/ramisch-2010-multiword-expressions-wild-mwetoolkit-comes/)
39. [**Using an Error-Annotated Learner Corpus to Develop an ESL/EFL Error Correction System**Na-Rae Han, Joel Tetreault, Soo-Hwa Lee, et al.*2010 · 62 citations*](https://md.research.elamur.ai/free/en/papers/han-2010-error-annotated-learner-corpus-develop/)
40. [**Unsupervised Grammar Induction with Depth-bounded PCFG**Lifeng Jin, Finale Doshi-Velez, Timothy Miller, et al.*2018 · 55 citations*](https://md.research.elamur.ai/free/en/papers/jin-2018-unsupervised-grammar-induction-depth-bounded/)
41. [**Reflexive verbs in Hebrew: Deep unaccusativity meets lexical semantics**Itamar Kastner*2017 · 52 citations*](https://md.research.elamur.ai/free/en/papers/kastner-2017-reflexive-verbs-hebrew-deep-unaccusativity/)
42. [**A Sentence Judgment System for Grammatical Error Detection**Lung-Hao Lee, Liang-Chih Yu, Kuei-Ching Lee, et al.*2014 · 51 citations*](https://md.research.elamur.ai/free/en/papers/lee-2014-sentence-judgment-system-grammatical-error/)
43. [**Implicatures and Nested Beliefs in Approximate Decentralized-POMDPs**Adam Vogel, Christopher Potts, Dan Jurafsky*2013 · 45 citations*](https://md.research.elamur.ai/free/en/papers/vogel-2013-implicatures-nested-beliefs-approximate-decentralized/)
44. [**STARC: Structured Annotations for Reading Comprehension**Yevgeni Berzak, Jonathan Malmaud, Roger Levy*2020 · 38 citations*](https://md.research.elamur.ai/free/en/papers/berzak-2020-starc-structured-annotations-reading-comprehension/)
45. [**No case for Case in locality: Case does not help interpretation when intervention blocks A-bar chains**Naama Friedmann, Luigi Rizzi, Adriana Belletti*2017 · 37 citations*](https://md.research.elamur.ai/free/en/papers/friedmann-2017-no-case-case-locality-case/)
46. [**An Incremental Iterated Response Model of Pragmatics**Reuben Cohn-Gordon, Noah Goodman, Christopher Potts*2019 · 35 citations*](https://md.research.elamur.ai/free/en/papers/gordon-2019-incremental-iterated-response-model-pragmatics/)
47. [**Left Dislocation in North-Eastern Neo-Aramaic dialects**Geoffrey Khan*2016 · 34 citations*](https://md.research.elamur.ai/free/en/papers/khan-2016-left-dislocation-north-eastern-neo/)
48. [**A Quantitative Model of Word Order and Movement in English, Dutch and German Complement Constructions**Karin Harbusch, Gerard Kempen*2002 · 30 citations*](https://md.research.elamur.ai/free/en/papers/harbusch-2002-quantitative-model-word-order-movement/)
49. [**Arabic Word-level Readability Visualization for Assisted Text Simplification**Reem Hazim, Hind Saddiki, Bashar Alhafni, et al.*2022 · 29 citations*](https://md.research.elamur.ai/free/en/papers/hazim-2022-arabic-word-level-readability-visualization/)
50. [**A Large and Balanced Corpus for Fine-grained Arabic Readability Assessment**Khalid N. Elmadani, Nizar Habash, Hanada Taha-Thomure*2025 · 28 citations*](https://md.research.elamur.ai/free/en/papers/elmadani-2025-large-balanced-corpus-fine-grained/)
51. [**KoKo: an L1 Learner Corpus for German**Andrea Abel, Aivars Glaznieks, Lionel Nicolas, et al.*2014 · 28 citations*](https://md.research.elamur.ai/free/en/papers/abel-2014-koko-l1-learner-corpus-german/)
52. [**Expectations over Unspoken Alternatives Predict Pragmatic Inferences**Jennifer Hu, Roger Levy, Judith Degen, et al.*2023 · 27 citations*](https://md.research.elamur.ai/free/en/papers/hu-2023-expectations-over-unspoken-alternatives-predict/)
53. [**Becoming Linguistically Mature: Modeling English and German Children's Writing Development Across School Grades**Elma Kerz, Yu Qiao, Daniel Wiechmann, et al.*2020 · 27 citations*](https://md.research.elamur.ai/free/en/papers/kerz-2020-becoming-linguistically-mature-modeling-english/)
54. [**From distributions to labels: A lexical proficiency analysis using learner corpora**David Alfter, Yuri Bizzoni, Anders Agebjörn, et al.*2016 · 27 citations*](https://md.research.elamur.ai/free/en/papers/alfter-2016-distributions-labels-lexical-proficiency-analysis/)
55. [**Concord and agreement features in Modern Standard Arabic**Lindley Winchester*2019 · 24 citations*](https://md.research.elamur.ai/free/en/papers/winchester-2019-concord-agreement-features-modern-standard/)
56. [**On the Proper Treatment of Tokenization in Psycholinguistics**Mario Giulianelli, Luca Malagutti, Juan Luis Gastaldi, et al.*2024 · 23 citations*](https://md.research.elamur.ai/free/en/papers/giulianelli-2024-proper-treatment-tokenization-psycholinguistics/)
57. [**Using Word Semantics To Assist English as a Second Language Learners**Mahmoud Azab, Chris Hokamp, Rada Mihalcea*2015 · 22 citations*](https://md.research.elamur.ai/free/en/papers/azab-2015-word-semantics-assist-english-as/)
58. [**Computational Language Acquisition with Theory of Mind**Andy Liu, Hao Zhu, Emmy Liu, et al.*2023 · 21 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-computational-language-acquisition-theory-mind/)
59. [**Stages rather than ages in the acquisition of movement structures: Data from sentence repetition and 27,696 spontaneous clauses**Naama Friedmann, Julia Reznick*2021 · 18 citations*](https://md.research.elamur.ai/free/en/papers/friedmann-2021-stages-rather-than-ages-acquisition/)
60. [**Hebrew nominals do not require functional structure above the NP**Benjamin Bruening*2022 · 17 citations*](https://md.research.elamur.ai/free/en/papers/bruening-2022-hebrew-nominals-do-not-require/)
61. [**Constraints in contact: Animacy in English and Afrikaans genitive variation – a cross-linguistic perspective**Anette Rosenbach*2017 · 15 citations*](https://md.research.elamur.ai/free/en/papers/rosenbach-2017-constraints-contact-animacy-english-afrikaans/)
62. [**The Impact of Token Granularity on the Predictive Power of Language Model Surprisal**Byung-Doh Oh, William Schuler*2025 · 12 citations*](https://md.research.elamur.ai/free/en/papers/oh-2025-impact-token-granularity-predictive-power/)
63. [**Resumption as a sluicing source in Saudi Arabic: Evidence from sluicing with prepositional phrases**Yara Alshaalan, Klaus Abels*2020 · 12 citations*](https://md.research.elamur.ai/free/en/papers/alshaalan-2020-resumption-as-sluicing-source-saudi/)
64. [**Analyzing the Impact of Spelling Errors on POS-Tagging and Chunking in Learner English**Tomoya Mizumoto, Ryo Nagata*2017 · 12 citations*](https://md.research.elamur.ai/free/en/papers/mizumoto-2017-analyzing-impact-spelling-errors-pos/)
65. [**Are Frequent Phrases Directly Retrieved like Idioms? An Investigation with Self-Paced Reading and Language Models**Giulia Rambelli, Emmanuele Chersoni, Marco S. G. Senaldi, et al.*2023 · 11 citations*](https://md.research.elamur.ai/free/en/papers/rambelli-2023-are-frequent-phrases-directly-retrieved/)
66. [**Learned Construction Grammars Converge Across Registers Given Increased Exposure**Jonathan Dunn, Harish Tayyar Madabushi*2021 · 11 citations*](https://md.research.elamur.ai/free/en/papers/dunn-2021-learned-construction-grammars-converge-across/)
67. [**Efficient Measuring of Readability to Improve Documents Accessibility for Arabic Language Learners**Sadik Bessou, Ghozlane Chenni*2021 · 10 citations*](https://md.research.elamur.ai/free/en/papers/bessou-2021-efficient-measuring-readability-improve-documents/)
68. [**Universal dependencies for Scottish Gaelic: syntax**Colin Batchelor*2019 · 10 citations*](https://md.research.elamur.ai/free/en/papers/batchelor-2019-universal-dependencies-scottish-gaelic-syntax/)
69. [**Usage patterns in the development of Hebrew grammatical subjects**Elitzur Dattner, Liron Kertes, Racehli Zwilling, et al.*2019 · 10 citations*](https://md.research.elamur.ai/free/en/papers/dattner-2019-usage-patterns-development-hebrew-grammatical/)
70. [**Datives, data and dialect syntax in American English**Jim Wood, Raffaella Zanuttini*2018 · 10 citations*](https://md.research.elamur.ai/free/en/papers/wood-2018-datives-data-dialect-syntax-american/)
71. [**Developmentally-plausible Working Memory Shapes a Critical Period for Language Acquisition**Masato Mita, Ryo Yoshida, Yohei Oseki*2025 · 9 citations*](https://md.research.elamur.ai/free/en/papers/mita-2025-developmentally-plausible-working-memory-shapes/)
72. [**Cognitive and Linguistic Skills Associated With Cross-Linguistic Transfer in the Production of Oral Narratives in English as a Foreign Language by Arabic- and Hebrew-Speaking Children: Finding Common Denominators**Susie Russak, Elena Zaretsky*2021 · 9 citations*](https://md.research.elamur.ai/free/en/papers/russak-2021-cognitive-linguistic-skills-associated-cross/)
73. [**Data-driven Parsing Evaluation for Child-Parent Interactions**Zoey Liu, Emily Prud'hommeaux*2023 · 8 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-data-driven-parsing-evaluation-child/)
74. [**Nested Coordination in Universal Dependencies**Adam Przepiórkowski, Agnieszka Patejuk*2019 · 8 citations*](https://md.research.elamur.ai/free/en/papers/przepiorkowski-2019-nested-coordination-universal-dependencies/)
75. [**Rethinking templates: A syntactic analysis of verbal morphology in Emirati Arabic**Meera Al Kaabi, Dimitrios Ntelitheos*2019 · 8 citations*](https://md.research.elamur.ai/free/en/papers/kaabi-2019-rethinking-templates-syntactic-analysis-verbal/)
76. [**On Grammaticality in the Syntactic Annotation of Learner Language**Markus Dickinson, Marwa Ragheb*2015 · 8 citations*](https://md.research.elamur.ai/free/en/papers/dickinson-2015-grammaticality-syntactic-annotation-learner-language/)
77. [**A Morphologically-Analyzed CHILDES Corpus of Hebrew**Bracha Nir, Brian MacWhinney, Shuly Wintner*2010 · 7 citations*](https://md.research.elamur.ai/free/en/papers/nir-2010-morphologically-analyzed-childes-corpus-hebrew/)
78. [**Developing Arabic Grammar Materials Based on Contextual Learning at Islamic Boarding School in Indonesia**Hamidah Hamidah, Yulia Rahmah, Uswatun Hasanah, et al.*2024 · 6 citations*](https://md.research.elamur.ai/free/en/papers/hamidah-2024-developing-arabic-grammar-materials-based/)
79. [**Dependency Parsing Evaluation for Low-resource Spontaneous Speech**Zoey Liu, Emily Prud'hommeaux*2021 · 6 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-dependency-parsing-evaluation-low-resource/)
80. [**Differential Object Marking in Modern Hebrew: Definiteness and partitivity**Aviya Hacohen, Olga Kagan, Dana Plaut*2021 · 6 citations*](https://md.research.elamur.ai/free/en/papers/hacohen-2021-differential-object-marking-modern-hebrew/)
81. [**Many systems, one strategy: Acquiring ordinals in Dutch and English**Caitlin Meyer, Sjef Barbiers, Fred Weerman*2020 · 6 citations*](https://md.research.elamur.ai/free/en/papers/meyer-2020-many-systems-one-strategy-acquiring/)
82. [**A Lexical Resource of Hebrew Verb-Noun Multi-Word Expressions**Chaya Liebeskind, Yaakov HaCohen-Kerner*2016 · 6 citations*](https://md.research.elamur.ai/free/en/papers/liebeskind-2016-lexical-resource-hebrew-verb-noun/)
83. [**An Empirical Study of Arabic Formulaic Sequence Extraction Methods**Ayman Alghamdi, Eric Atwell, Claire Brierley*2016 · 5 citations*](https://md.research.elamur.ai/free/en/papers/alghamdi-2016-empirical-study-arabic-formulaic-sequence/)
84. [**Are BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language Models**Raha Askari, Sina Zarrieß, Özge Alacam, et al.*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/askari-2025-are-babylms-deaf-gricean-maxims/)
85. [**UD-English-CHILDES: A Collected Resource of Gold and Silver Universal Dependencies Trees for Child Language Interactions**Xiulin Yang, Zhuoxuan Ju, Lanni Bu, et al.*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/yang-2025-ud-english-childes-collected-resource/)
86. [**Linguistic Productivity: the Case of Determiners in English**Raquel G. Alhama, Ruthe Foushee, Daniel Byrne, et al.*2023 · 4 citations*](https://md.research.elamur.ai/free/en/papers/alhama-2023-linguistic-productivity-case-determiners-english/)
87. [**A Morphologically Annotated Hebrew CHILDES Corpus**Aviad Albert, Brian MacWhinney, Bracha Nir, et al.*2012 · 4 citations*](https://md.research.elamur.ai/free/en/papers/albert-2012-morphologically-annotated-hebrew-childes-corpus/)
88. [**How Specialized are Specialized Corpora? Behavioral Evaluation of Corpus Representativeness for Maltese.**Jerid Francom, Amy LaCross, Adam Ussishkin*2010 · 4 citations*](https://md.research.elamur.ai/free/en/papers/francom-2010-how-specialized-are-specialized-corpora/)
89. [**PARSEME 2.0 Multilingual Corpus of Multiword Expressions**Agata Savary, Manon Scholivet, Carlos Ramisch, et al.*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/savary-2026-parseme-2-0-multilingual-corpus/)
90. [**TafBERTa: Learning Grammatical Rules from Small-Scale Language Acquisition Data in Hebrew**Anita Gelboim, Elior Sulem*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/gelboim-2025-tafberta-learning-grammatical-rules-small/)
91. [**A Canonical Form for Flexible Multiword Expressions**Jan Odijk, Martin Kroon*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/odijk-2024-canonical-form-flexible-multiword-expressions/)
92. [**A Language-agnostic Model of Child Language Acquisition**Louis Mahon, Omri Abend, Uri Berger, et al.*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/mahon-2024-language-agnostic-model-child-language/)
93. [**The head the construct: Construct state nominals as a novel window to syntactic movement difficulties in hearing impairment**Naama Friedmann, Ronit Szterman, Adriana Belletti, et al.*2018 · 3 citations*](https://md.research.elamur.ai/free/en/papers/friedmann-2018-head-construct-construct-state-nominals/)
94. [**Universal quantification as degree modification in Arabic**Peter Hallman*2016 · 3 citations*](https://md.research.elamur.ai/free/en/papers/hallman-2016-universal-quantification-as-degree-modification/)
95. [**A Critical Study of Automatic Evaluation in Sign Language Translation**Shakib Yazdani, Yasser HAMIDULLAH, Cristina España-Bonet, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/yazdani-2026-critical-study-automatic-evaluation-sign/)
96. [**Designing the LECOR Learner Corpus for Romanian**Ana Maria Barbu, Elena Irimia, Carmen Mîrzea Vasile, et al.*2023 · 2 citations*](https://md.research.elamur.ai/free/en/papers/barbu-2023-designing-lecor-learner-corpus-romanian/)
97. [**Peer Teaching Method Integrated with Card Media: Its Implementation in Arabic Syntax Learning**Muhammad Rizal, Mohamad Zaka Al Farisi, Asep Sopian*2023 · 2 citations*](https://md.research.elamur.ai/free/en/papers/rizal-2023-peer-teaching-method-integrated-card/)
98. [**Comparing Native and Learner Englishes Using a Large Pre-trained Language Model**Tatsuya Aoyama*2022 · 2 citations*](https://md.research.elamur.ai/free/en/papers/aoyama-2022-comparing-native-learner-englishes-large/)
99. [**Predicting the Proficiency Level of Nonnative Hebrew Authors**Isabelle Nguyen, Shuly Wintner*2022 · 2 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2022-predicting-proficiency-level-nonnative-hebrew/)
100. [**Towards A Sign Language Gloss Representation Of Modern Standard Arabic**Salma El Anigri, Mohammed Majid Himmi, Abdelhak Mahmoudi*2020 · 2 citations*](https://md.research.elamur.ai/free/en/papers/anigri-2020-towards-sign-language-gloss-representation/)
101. [**Universal Dependencies in a galaxy far, far away... What makes Yoda's English truly alien**Natalia Levshina*2019 · 2 citations*](https://md.research.elamur.ai/free/en/papers/levshina-2019-universal-dependencies-galaxy-far-far/)
102. [**Semantically Motivated Hebrew Verb-Noun Multi-Word Expressions Identification**Chaya Liebeskind, Yaakov HaCohen-Kerner*2016 · 2 citations*](https://md.research.elamur.ai/free/en/papers/liebeskind-2016-semantically-motivated-hebrew-verb-noun/)
103. [**A Corpus of Joint EEG and Self-Paced Reading of Natural Dutch Texts**Sara Møller Østergaard, Lenneke Doris Lichtenberg, Laura Boon, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ostergaard-2026-corpus-joint-eeg-self-paced/)
104. [**An Existence Proof for Neural Language Models That Can Explain Garden-Path Effects via Surprisal**Ryo Yoshida, Shinnosuke Isono, Taiga Someya, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/yoshida-2026-existence-proof-neural-language-models/)
105. [**CEFR-Cymraeg: A Dataset and Baseline Models for Language Proficiency Assessment in Welsh**Eeshan Waqar, Jonathan Davies, Dawn Knight, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/waqar-2026-cefr-cymraeg-dataset-baseline-models/)
106. [**Clozing the Gap: Exploring Why Language Model Surprisal Outperforms Cloze Surprisal**Sathvik Nair, Byung-Doh Oh*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/nair-2026-clozing-gap-exploring-why-language/)
107. [**Digital Harf: A Clinically Integrated Multimodal AI System for Pervasive Arabic Speech and Language Therapy**Asif Azad, Mohammad Sadat Hossain, MD Sadik Hossain Shanto, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/azad-2026-digital-harf-clinically-integrated-multimodal/)
108. [**From Trial by Fire to Sleep like a Baby: A Lexicon of Anxiety Associations for 20K English Multi-Word Expressions**Saif M. Mohammad*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/mohammad-2026-trial-fire-sleep-like-baby/)
109. [**Human-like Fleeting Memory Improves Language Learning but Impairs Reading Time Prediction in Transformer Language Models**Abishek Thamma, Micha Heilbron*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/thamma-2026-human-like-fleeting-memory-improves/)
110. [**Introducing a Bangla Sentence – Gloss Pair Dataset for Bangla Sign Language Translation and Research**Neelavro Saha, Rafi Shahriyar, Nafis Ashraf Roudra, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/saha-2026-introducing-bangla-sentence-gloss-pair/)
111. [**Probing for Reading Times**Eleftheria Tsipidi, Samuel Kiegeland, Francesco Ignazio Re, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/tsipidi-2026-probing-reading-times/)
112. [**Reading Dynamics and Comprehension in Cognitive Aging: A Multimodal Language Resource**Claudia Marzi, Noemi Boni, Alice Todesco, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/marzi-2026-reading-dynamics-comprehension-cognitive-aging/)
113. [**Development of Android Game-Based Media to Enhance Students' Arabic Grammar Skills**Widodo Febri Utomo, Asrowi Asrowi, Herry Widyastono*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/utomo-2025-development-android-game-based-media/)
114. [**Podcasting and input and output-based language learning of English modal verbs**Somayieh Alipour, Davood Taghipour Bazargani, Saeideh Ahangari*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alipour-2024-podcasting-input-output-based-language/)
115. [**Assessing the influence of attractor-verb distance on grammatical agreement in humans and language models**Christos Zacharopoulos, Théo Desbordes, Mathias Sablé-Meyer*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/zacharopoulos-2023-assessing-influence-attractor-verb-distance/)
116. [**Feature Deletion by Head Movement: A New Solution to Agreement Asymmetries in Modern Standard Arabic**Anke Himmelreich*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/himmelreich-2023-feature-deletion-head-movement-new/)
117. [**Improving Self-Confidence, Enthusiasm, And Learning Satisfaction With mE-Book Practical Arabic Syntax and ARIAS Learning Model**Luthfi Anisatin, Muhammad Khusairi, Nurhidayati Nurhidayati, et al.*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/anisatin-2023-improving-self-confidence-enthusiasm-learning/)
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