--- title: "Papers of 2023 — page 9 — 954 papers, the most cited first" description: "Papers of 2023: 954 papers of the Elamur Research library — what each work is about in our own words, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/papers/2023/page/9/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/2023/page/9/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / 2023 # Papers of 2023 — page 9 954 papers · [papers of all years](https://md.research.elamur.ai/free/en/papers/) [← prev](https://md.research.elamur.ai/free/en/papers/2023/page/8/) [1](https://md.research.elamur.ai/free/en/papers/2023/) … [8](https://md.research.elamur.ai/free/en/papers/2023/page/8/) **9** [10](https://md.research.elamur.ai/free/en/papers/2023/page/10/) [next →](https://md.research.elamur.ai/free/en/papers/2023/page/10/) **[Prompt-based Logical Semantics Enhancement for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/wang-2023-prompt-based-logical-semantics-enhancement/)**Chenxu Wang, Ping Jian, Mu Huang*[Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) · 8 citations* - [We Understand Elliptical Sentences, and Language Models should Too: A New Dataset for Studying Ellipsis and its Interaction with Thematic Fit](https://md.research.elamur.ai/free/en/papers/testa-2023-we-understand-elliptical-sentences-language/) — Davide Testa, Emmanuele Chersoni, Alessandro Lenci · English · 8 citations - [Are UD Treebanks Getting More Consistent? A Report Card for English UD](https://md.research.elamur.ai/free/en/papers/zeldes-2023-are-ud-treebanks-getting-more/) — Amir Zeldes, Nathan Schneider · Mova's core list · 7 citations - [Dependency Dialogue Acts — Annotation Scheme and Case Study](https://md.research.elamur.ai/free/en/papers/cai-2023-dependency-dialogue-acts-annotation-scheme/) — Jon Z. Cai, Brendan King, Margaret Perkoff, et al. · English · 7 citations - [Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew](https://md.research.elamur.ai/free/en/papers/gueta-2023-explicit-morphological-knowledge-improves-pre/) — Eylon Gueta, Omer Goldman, Reut Tsarfaty · Modern Hebrew · 7 citations **[Hierarchical Fusion for Online Multimodal Dialog Act Classification](https://md.research.elamur.ai/free/en/papers/miah-2023-hierarchical-fusion-online-multimodal-dialog/)**Md Messal Monem Miah, Adarsh Pyarelal, Ruihong Huang*[Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) · 7 citations* **[Towards more Human-like Language Models based on Contextualizer Pretraining Strategy](https://md.research.elamur.ai/free/en/papers/xiao-2023-more-human-like-language-models/)**Chenghao Xiao, G Thomas Hudson, Noura Al Moubayed*[Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/) · 7 citations* - [UMR Annotation of Multiword Expressions](https://md.research.elamur.ai/free/en/papers/bonn-2023-umr-annotation-multiword-expressions/) — Julia Bonn, Andrew Cowell, Jan Hajič, et al. · Machine translation · 7 citations **[Yauti: A Tool for Morphosyntactic Analysis of Nheengatu within the Universal Dependencies Framework](https://md.research.elamur.ai/free/en/papers/alencar-2023-yauti-tool-morphosyntactic-analysis-nheengatu/)**Leonel Figueiredo de Alencar*[Brazilian Symposium in Information and Human Language Technology](https://md.research.elamur.ai/free/en/venues/stil/) · 7 citations* - ["Is the Pope Catholic?" Applying Chain-of-Thought Reasoning to Understanding Conversational Implicatures](https://md.research.elamur.ai/free/en/papers/kim-2023-pope-catholic-applying-chain-thought/) — Zae Myung Kim, David E. Taylor, Dongyeop Kang · English · 6 citations **[Acquiring Linguistic Knowledge from Multimodal Input](https://md.research.elamur.ai/free/en/papers/amariucai-2023-acquiring-linguistic-knowledge-multimodal-input/)**Theodor Amariucai, Alexander Scott Warstadt*[Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/) · 6 citations* **[Automatic Evaluate Dialogue Appropriateness by Using Dialogue Act](https://md.research.elamur.ai/free/en/papers/chen-2023-automatic-evaluate-dialogue-appropriateness-dialogue/)**Bao Chen, Yuanjie Wang, Zeming Liu, et al.*[Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) · 6 citations* **[Investigating Multilingual Coreference Resolution by Universal Annotations](https://md.research.elamur.ai/free/en/papers/chai-2023-investigating-multilingual-coreference-resolution-universal/)**Haixia Chai, Michael Strube*[Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) · 6 citations* - [ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development](https://md.research.elamur.ai/free/en/papers/marmor-2023-ivrit-ai-comprehensive-dataset-hebrew/) — Yanir Marmor, Kinneret Misgav, Yair Lifshitz · Modern Hebrew · 6 citations **[The DARPA Wikidata Overlay: Wikidata as an ontology for natural language processing](https://md.research.elamur.ai/free/en/papers/spaulding-2023-darpa-wikidata-overlay-wikidata-as/)**Elizabeth Spaulding, Kathryn Conger, Anatole Gershman, et al.*[Joint ACL-ISO Workshop on Interoperable Semantic Annotation](https://md.research.elamur.ai/free/en/venues/isa/) · 6 citations* - [Transformers and Ensemble methods: A solution for Hate Speech Detection in Arabic languages](https://md.research.elamur.ai/free/en/papers/paula-2023-transformers-ensemble-methods-solution-hate/) — Angel Felipe Magnossao de Paula, Imene Bensalem, Paolo Rosso, et al. · arXiv:2303.09823 · Revue de l Information… · 6 citations - [A Transformer-based parser for Syriac morphology](https://md.research.elamur.ai/free/en/papers/naaijer-2023-transformer-based-parser-syriac-morphology/) — Martijn Naaijer, Constantijn Sikkel, Mathias Coeckelbergs, et al. · Aramaic · 5 citations **[Analysis of Corpus-based Word-Order Typological Methods](https://md.research.elamur.ai/free/en/papers/alves-2023-analysis-corpus-based-word-order/)**Diego Alves, Božo Bekavac, Daniel Zeman, et al.*[Universal Dependencies Workshop (UDW)](https://md.research.elamur.ai/free/en/venues/udw/) · 5 citations* - [Arabic Sentiment Analysis with Noisy Deep Explainable Model](https://md.research.elamur.ai/free/en/papers/atabuzzaman-2023-arabic-sentiment-analysis-noisy-deep/) — Md. Atabuzzaman, Md Shajalal, Maksuda Bilkis Baby, et al. · arXiv:2309.13731 · NLPIR 2023: 2023 7th… · 5 citations - [Can ChatGPT be Your Personal Medical Assistant?](https://md.research.elamur.ai/free/en/papers/biswas-2023-chatgpt-personal-medical-assistant/) — Md. Rafiul Biswas, Ashhadul Islam, Zubair Shah, et al. · arXiv:2312.12006 · The International Symposium… · 5 citations - [Do Pretrained Contextual Language Models Distinguish between Hebrew Homograph Analyses?](https://md.research.elamur.ai/free/en/papers/shmidman-2023-do-pretrained-contextual-language-models/) — Avi Shmidman, Cheyn Shmuel Shmidman, Dan Bareket, et al. · Ancient Hebrew · 5 citations - [Exclaiming non-sententially: exclamative sluices and the (non-elliptical) nature of ellipsis constructions](https://md.research.elamur.ai/free/en/papers/ginzburg-2023-exclaiming-non-sententially-exclamative-sluices/) — Jonathan Ginzburg, Jong-Bok Kim · English · 5 citations - [Exploring Non-Verbal Predicates in Semantic Role Labeling: Challenges and Opportunities](https://md.research.elamur.ai/free/en/papers/orlando-2023-exploring-non-verbal-predicates-semantic/) — Riccardo Orlando, Simone Conia, Roberto Navigli · English · 5 citations - [Machine Translation for Ge'ez Language](https://md.research.elamur.ai/free/en/papers/wassie-2023-machine-translation-ge-ez-language/) — Aman Kassahun Wassie · arXiv:2311.14530 · 5 citations **[Take the Hint: Improving Arabic Diacritization with Partially-Diacritized Text](https://md.research.elamur.ai/free/en/papers/bahar-2023-take-hint-improving-arabic-diacritization/)**Parnia Bahar, Mattia Di Gangi, Nick Rossenbach, et al.*[Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/) · 5 citations* **[The User-Aware Arabic Gender Rewriter](https://md.research.elamur.ai/free/en/papers/alhafni-2023-user-aware-arabic-gender-rewriter/)**Bashar Alhafni, Ossama Obeid, Nizar Habash*[Workshop on Gender-Inclusive Translation Technologies](https://md.research.elamur.ai/free/en/venues/gitt/) · 5 citations* - [ALJP: An Arabic Legal Judgment Prediction in Personal Status Cases Using Machine Learning Models](https://md.research.elamur.ai/free/en/papers/abbara-2023-aljp-arabic-legal-judgment-prediction/) — Salwa Abbara, Mona Hafez, Aya Kazzaz, et al. · arXiv:2309.00238 · 4 citations **[Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based Augmentation](https://md.research.elamur.ai/free/en/papers/baali-2023-arabic-dysarthric-speech-recognition-using/)**Massa Baali, Ibrahim Almakky, Shady Shehata, et al.*[Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/) · 4 citations* - [Automatic Standardization of Arabic Dialects for Machine Translation](https://md.research.elamur.ai/free/en/papers/alnassan-2023-automatic-standardization-arabic-dialects-machine/) — Abidrabbo Alnassan · arXiv:2301.03447 · 4 citations - [Hate speech detection in algerian dialect using deep learning](https://md.research.elamur.ai/free/en/papers/lanasri-2023-hate-speech-detection-algerian-dialect/) — Dihia Lanasri, Juan Olano, Sifal Klioui, et al. · arXiv:2309.11611 · 4 citations - [HeGeL: A Novel Dataset for Geo-Location from Hebrew Text](https://md.research.elamur.ai/free/en/papers/argaman-2023-hegel-novel-dataset-geo-location/) — Tzuf Paz-Argaman, Tal Bauman, Itai Mondshine, et al. · Modern Hebrew · 4 citations **[Improving Cross-lingual Transfer through Subtree-aware Word Reordering](https://md.research.elamur.ai/free/en/papers/arviv-2023-improving-cross-lingual-transfer-through/)**Ofir Arviv, Dmitry Nikolaev, Taelin Karidi, et al.*[Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) · 4 citations* **[Linguistic Productivity: the Case of Determiners in English](https://md.research.elamur.ai/free/en/papers/alhama-2023-linguistic-productivity-case-determiners-english/)**Raquel G. Alhama, Ruthe Foushee, Daniel Byrne, et al.*[International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/) · 4 citations* - [Measuring Fine-Grained Semantic Equivalence with Abstract Meaning Representation](https://md.research.elamur.ai/free/en/papers/wein-2023-measuring-fine-grained-semantic-equivalence/) — Shira Wein, Zhuxin Wang, Nathan Schneider · Machine translation · 4 citations - [Nothing New Under the Sun? The Study of Biblical Hebrew in the Era of Generative Pre-trained AI](https://md.research.elamur.ai/free/en/papers/elrod-2023-nothing-new-under-sun-study/) — A. G. Elrod · Ancient Hebrew · 4 citations - [OSN-MDAD: Machine Translation Dataset for Arabic Multi-Dialectal Conversations on Online Social Media](https://md.research.elamur.ai/free/en/papers/alzamzami-2023-osn-mdad-machine-translation-dataset/) — Fatimah Alzamzami, Abdulmotaleb El Saddik · arXiv:2309.12137 · 4 citations - [PreWoMe: Exploiting Presuppositions as Working Memory for Long Form Question Answering](https://md.research.elamur.ai/free/en/papers/han-2023-prewome-exploiting-presuppositions-as-working/) — Wookje Han, Jinsol Park, Kyungjae Lee · English · 4 citations - [When to generate hedges in peer-tutoring interactions](https://md.research.elamur.ai/free/en/papers/abulimiti-2023-when-generate-hedges-peer-tutoring/) — Alafate Abulimiti, Chloé Clavel, Justine Cassell · English · 4 citations - ["You are Cursed by the God YHW": an early Hebrew inscription from Mt. Ebal](https://md.research.elamur.ai/free/en/papers/stripling-2023-cursed-god-yhw-early-hebrew/) — Scott Stripling, Gershon Galil, Ivana Kumpová, et al. · Ancient Hebrew · 3 citations - [An ensemble-based framework for mispronunciation detection of Arabic phonemes](https://md.research.elamur.ai/free/en/papers/calik-2023-ensemble-based-framework-mispronunciation-detection/) — Sukru Selim Calik, Ayhan Kucukmanisa, Zeynep Hilal Kilimci · arXiv:2301.01378 · 3 citations **[Analyzing the Turkish and Arabic Subtitle Translations of English Idioms in the Animated Movie Ice Age: The Meltdown](https://md.research.elamur.ai/free/en/papers/eray-2023-analyzing-turkish-arabic-subtitle-translations/)**Arife Eray, Muammer Sarıkaya*[Şarkiyat Mecmuası / Journal of Oriental Studies](https://md.research.elamur.ai/free/en/venues/sarkiyat-mecmuasi-journal-of-oriental-studies/) · 3 citations* **[ANER: Arabic and Arabizi Named Entity Recognition using Transformer-Based Approach](https://md.research.elamur.ai/free/en/papers/sadallah-2023-aner-arabic-arabizi-named-entity/)**Abdelrahman "Boda" Sadallah, Omar Ahmed, Shimaa Mohamed, et al.*[Intelligent Methods, Systems, and Applications (IMSA)](https://md.research.elamur.ai/free/en/venues/intelligent-methods-systems-and-applications-imsa/) · 3 citations* **[Are idioms surprising?](https://md.research.elamur.ai/free/en/papers/philipp-2023-are-idioms-surprising/)**J. Nathanael Philipp, Michael Richter, Erik Daas, et al.*[Conference on Natural Language Processing](https://md.research.elamur.ai/free/en/venues/konvens/) · 3 citations* **[ArSarcasMoji Dataset: The Emoji Sentiment Roles in Arabic Ironic Contexts](https://md.research.elamur.ai/free/en/papers/hakami-2023-arsarcasmoji-dataset-emoji-sentiment-roles/)**Shatha Ali A. Hakami, Robert Hendley, Phillip Smith*[Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/) · 3 citations* - [Domain Adaptation for Arabic Machine Translation: The Case of Financial Texts](https://md.research.elamur.ai/free/en/papers/alghamdi-2023-domain-adaptation-arabic-machine-translation/) — Emad A. Alghamdi, Jezia Zakraoui, Fares A. Abanmy · arXiv:2309.12863 · 3 citations - [Encoding Discourse Structure: Comparison of RST and QUD](https://md.research.elamur.ai/free/en/papers/shahmohammadi-2023-encoding-discourse-structure-comparison-rst/) — Sara Shahmohammadi, Hannah Seemann, Manfred Stede, et al. · English · 3 citations - [Meaning Representation of English Prepositional Phrase Roles: SNACS Supersenses vs. Tectogrammatical Functors](https://md.research.elamur.ai/free/en/papers/scivetti-2023-meaning-representation-english-prepositional-phrase/) — Wesley Scivetti, Nathan Schneider · English · 3 citations - [Optimizing the Neural Network Training for OCR Error Correction of Historical Hebrew Texts](https://md.research.elamur.ai/free/en/papers/suissa-2023-optimizing-neural-network-training-ocr/) — Omri Suissa, Avshalom Elmalech, Maayan Zhitomirsky-Geffet · Ancient Hebrew · 3 citations - [Subject-verb agreement with Seq2Seq transformers: Bigger is better, but still not best](https://md.research.elamur.ai/free/en/papers/wilson-2023-subject-verb-agreement-seq2seq-transformers/) — Michael Wilson, Zhenghao Zhou, Robert Frank · Mova's core list · 3 citations **[Token-level Identification of Multiword Expressions using Pre-trained Multilingual Language Models](https://md.research.elamur.ai/free/en/papers/swaminathan-2023-token-level-identification-multiword-expressions/)**Raghuraman Swaminathan, Paul Cook*[Workshop on Multiword Expressions (MWE)](https://md.research.elamur.ai/free/en/venues/mwe/) · 3 citations* - [A Massive Scale Semantic Similarity Dataset of Historical English](https://md.research.elamur.ai/free/en/papers/silcock-2023-massive-scale-semantic-similarity-dataset/) — Emily Silcock, Melissa Dell · English · 2 citations - [An Analysis of English Grammar in the Perspective of Nahwu](https://md.research.elamur.ai/free/en/papers/rohmah-2023-analysis-english-grammar-perspective-nahwu/) — Hamida Rohmah · JALL… · 2 citations - [Analogy in Contact: Modeling Maltese Plural Inflection](https://md.research.elamur.ai/free/en/papers/court-2023-analogy-contact-modeling-maltese-plural/) — Sara Court, Andrea D. Sims, Micha Elsner · Semitic languages · 2 citations **[Between Analogy and Language Contact: A Case Study of Grammatical Change in Maghrebi Judaeo-Arabic Dialects](https://md.research.elamur.ai/free/en/papers/gebski-2023-between-analogy-language-contact-case/)**Wiktor Gębski*[Folia Orientalia](https://md.research.elamur.ai/free/en/venues/folia-orientalia/) · 2 citations* - [Beyond Concatenative Morphology: Applying OntoLex-Morph to Maltese](https://md.research.elamur.ai/free/en/papers/ionov-2023-beyond-concatenative-morphology-applying-ontolex/) — Maxim Ionov, Mike Rosner · Semitic languages · 2 citations - [Bridging Semantic Frameworks: mapping DRS onto AMR](https://md.research.elamur.ai/free/en/papers/pavlova-2023-bridging-semantic-frameworks-mapping-drs/) — Siyana Pavlova, Maxime Amblard, Bruno Guillaume · Machine translation · 2 citations - [Conjunct Lengths in English, Dependency Length Minimization, and Dependency Structure of Coordination](https://md.research.elamur.ai/free/en/papers/przepiorkowski-2023-conjunct-lengths-english-dependency-length/) — Adam Przepiórkowski, Michał Woźniak · Mova's core list · 2 citations **[Constructing Identities: Greek Names as a Marker of Hellenizing Identity](https://md.research.elamur.ai/free/en/papers/pearce-2023-constructing-identities-greek-names-marker/)**Laurie E. Pearce, Paola Corò*[Studia Orientalia Electronica](https://md.research.elamur.ai/free/en/venues/studia-orientalia-electronica/) · 2 citations* **[Designing the LECOR Learner Corpus for Romanian](https://md.research.elamur.ai/free/en/papers/barbu-2023-designing-lecor-learner-corpus-romanian/)**Ana Maria Barbu, Elena Irimia, Carmen Mîrzea Vasile, et al.*[Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/) · 2 citations* - [Fine-Tashkeel: Finetuning Byte-Level Models for Accurate Arabic Text Diacritization](https://md.research.elamur.ai/free/en/papers/al-rfooh-2023-fine-tashkeel-finetuning-byte-level/) — Bashar Al-Rfooh, Gheith Abandah, Rami Al-Rfou · arXiv:2303.14588 · 2 citations - [Germanic syntax: A constraint-based view](https://md.research.elamur.ai/free/en/papers/muller-2023-germanic-syntax-constraint-based/) — Stefan Müller · English · 2 citations - [Improving Natural Language Inference in Arabic using Transformer Models and Linguistically Informed Pre-Training](https://md.research.elamur.ai/free/en/papers/deen-2023-improving-natural-language-inference-arabic/) — Mohammad Majd Saad Al Deen, Maren Pielka, Jorn Hees, et al. · arXiv:2307.14666 · 2 citations **[On Quick Kisses and How to Make Them Count: A Study on Event Construal in Light Verb Constructions with BERT](https://md.research.elamur.ai/free/en/papers/liu-2023-quick-kisses-how-make-them/)**Chenxin Liu, Emmanuele Chersoni*[BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP](https://md.research.elamur.ai/free/en/venues/blackboxnlp/) · 2 citations* - [On the Evaluation of Terminology Translation Errors in NMT and PB-SMT in the Legal Domain: a Study on the Translation of Arabic Legal Documents into English and French](https://md.research.elamur.ai/free/en/papers/elfqih-2023-evaluation-terminology-translation-errors-nmt/) — Khadija Ait ElFqih, Johanna Monti · Proceedings of the Workshop on Computational… · 2 citations **[Peer Teaching Method Integrated with Card Media: Its Implementation in Arabic Syntax Learning](https://md.research.elamur.ai/free/en/papers/rizal-2023-peer-teaching-method-integrated-card/)**Muhammad Rizal, Mohamad Zaka Al Farisi, Asep Sopian*[ARABIYATUNA Jurnal Bahasa Arab](https://md.research.elamur.ai/free/en/venues/arabiyatuna-jurnal-bahasa-arab/) · 2 citations* **[QVoice: Arabic Speech Pronunciation Learning Application](https://md.research.elamur.ai/free/en/papers/kheir-2023-qvoice-arabic-speech-pronunciation-learning/)**Yassine El Kheir, Fouad Khnaisser, Shammur Absar Chowdhury, et al.*[Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/) · 2 citations* - [Some Considerations in the Construction of a Historical Language WordNet](https://md.research.elamur.ai/free/en/papers/khan-2023-some-considerations-construction-historical-language/) — Anas Fahad Khan, John P. McCrae, Francisco Javier Minaya Gómez, et al. · English · 2 citations - [Temporal Relation Classification in Hebrew](https://md.research.elamur.ai/free/en/papers/yanko-2023-temporal-relation-classification-hebrew/) — Guy Yanko, Shahaf Pariente, Kfir Bar · Modern Hebrew · 2 citations - [The English past tense as a definite description](https://md.research.elamur.ai/free/en/papers/zhao-2023-english-past-tense-as-definite/) — Ruoying Zhao · English · 2 citations - [The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet Generation](https://md.research.elamur.ai/free/en/papers/agnew-2023-mechanical-bard-interpretable-machine-learning/) — Edwin Agnew, Michelle Qiu, Lily Zhu, et al. · Machine translation · 2 citations - [Two ways to agree in DN1&N2 constructions – Romance left-conjunct agreement and Germanic morphologically resolved agreement](https://md.research.elamur.ai/free/en/papers/lamoure-2023-two-ways-agree-d-n1/) — Nicolas Mathieu Lamoure · English · 2 citations - [Unravelling Indirect Answers to Wh-Questions: Corpus Construction, Analysis, and Generation](https://md.research.elamur.ai/free/en/papers/yusupujiang-2023-unravelling-indirect-answers-wh-questions/) — Zulipiye Yusupujiang, Jonathan Ginzburg · English · 2 citations **[An ‘undervalued’ salvation oracle in the book of Jeremiah: Jeremiah 50:4–5 (Masoretic text)](https://md.research.elamur.ai/free/en/papers/terblanche-2023-undervalued-salvation-oracle-book-jeremiah/)**Marius D. Terblanche*[Verbum et Ecclesia](https://md.research.elamur.ai/free/en/venues/verbum-et-ecclesia/) · 1 citation* - [Arabic Handwritten Text Line Dataset](https://md.research.elamur.ai/free/en/papers/bouchal-2023-arabic-handwritten-text-line-dataset/) — Hakim Bouchal, Ahror Belaid · arXiv:2312.07573 · 1 citation **[AraSpot: Arabic Spoken Command Spotting](https://md.research.elamur.ai/free/en/papers/salhab-2023-araspot-arabic-spoken-command-spotting/)**Mahmoud Salhab, Haidar Harmanani*[ACM Transactions on Asian and Low-Resource Language Information Processing](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-asian-and-low-resource-language-information-processing/) · 1 citation* - [ARCOQ: Arabic Closest Opposite Questions Dataset](https://md.research.elamur.ai/free/en/papers/rizkallah-2023-arcoq-arabic-closest-opposite-questions/) — Sandra Rizkallah; Amir F. 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