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title: "Morphology — papers, page 3"
description: "Morphology: 245 papers of the Elamur Research library · page 3 of 4 · 126–225, the most cited first."
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# 🧩 Morphology

245 papers · page 3 of 4 · 126–225 · the most cited first · [all topics](https://md.research.elamur.ai/free/en/topics/)

How words are built: roots, affixes, inflection, and the analyzers that take them apart.

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126. [**A Probabilistic Morphological Analyzer for Syriac**Peter McClanahan, George Busby, Robbie Haertel, et al.*2010 · 11 citations*](https://md.research.elamur.ai/free/en/papers/mcclanahan-2010-probabilistic-morphological-analyzer-syriac/)
127. [**Towards JointUD: Part-of-speech Tagging and Lemmatization using Recurrent Neural Networks**Gor Arakelyan, Karen Hambardzumyan, Hrant Khachatrian*2018 · 10 citations*](https://md.research.elamur.ai/free/en/papers/arakelyan-2018-jointud-part-speech-tagging-lemmatization/)
128. [**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/)
129. [**A Morphological Analyzer for Akkadian Verbal Forms with a Model of Phonetic Transformations**Francois Barthelemy*1998 · 10 citations*](https://md.research.elamur.ai/free/en/papers/barthelemy-1998-morphological-analyzer-akkadian-verbal-forms/)
130. [**Multilingual Sequence-to-Sequence Models for Hebrew NLP**Matan Eyal, Hila Noga, Roee Aharoni, et al.*2023 · 9 citations*](https://md.research.elamur.ai/free/en/papers/eyal-2023-multilingual-sequence-sequence-models-hebrew/)
131. [**Universal Morpho-Syntactic Parsing and the Contribution of Lexica: Analyzing the ONLP Lab Submission to the CoNLL 2018 Shared Task**Amit Seker, Amir More, Reut Tsarfaty*2018 · 9 citations*](https://md.research.elamur.ai/free/en/papers/seker-2018-universal-morpho-syntactic-parsing-contribution/)
132. [**Morphological Analysis for the Maltese Language: The challenges of a hybrid system**Claudia Borg, Albert Gatt*2017 · 9 citations*](https://md.research.elamur.ai/free/en/papers/borg-2017-morphological-analysis-maltese-language-challenges/)
133. [**Lisan: Yemeni, Iraqi, Libyan, and Sudanese Arabic Dialect Copora with Morphological Annotations**Mustafa Jarrar, Fadi A Zaraket, Tymaa Hammouda, et al.*2022 · 8 citations*](https://md.research.elamur.ai/free/en/papers/jarrar-2022-lisan-yemeni-iraqi-libyan-sudanese/)
134. [**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/)
135. [**Morphological Analysis Can Improve a CCG Parser for English**Matthew Honnibal, Jonathan K. Kummerfeld, James R. Curran*2010 · 8 citations*](https://md.research.elamur.ai/free/en/papers/honnibal-2010-morphological-analysis-can-improve-ccg/)
136. [**Arabic Diacritization Using Morphologically Informed Character-Level Model**Muhammad Morsy Elmallah, Mahmoud Reda, Kareem Darwish, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/elmallah-2024-arabic-diacritization-morphologically-informed-character/)
137. [**Camel Morph MSA: A Large-Scale Open-Source Morphological Analyzer for Modern Standard Arabic**Christian Khairallah, Salam Khalifa, Reham Marzouk, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/khairallah-2024-camel-morph-msa-large-scale/)
138. [**Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew**Eylon Gueta, Omer Goldman, Reut Tsarfaty*2023 · 7 citations*](https://md.research.elamur.ai/free/en/papers/gueta-2023-explicit-morphological-knowledge-improves-pre/)
139. [**Morphologically annotated corpora of Pomak**Ritván Jusúf Karahóǧa, Panagiotis G. Krimpas, Vivian Stamou, et al.*2022 · 7 citations*](https://md.research.elamur.ai/free/en/papers/karahoa-2022-morphologically-annotated-corpora-pomak/)
140. [**The Structure of Interjections in Biblical Hebrew: Phonetics, Morphology, and Syntax**Alexander Andrason, Irina Hornea, Marcus Joubert*2020 · 7 citations*](https://md.research.elamur.ai/free/en/papers/andrason-2020-structure-interjections-biblical-hebrew-phonetics/)
141. [**Voice at the Interfaces: The Syntax, Semantics, and Morphology of the Hebrew Verb**Itamar Kastner*2020 · 7 citations*](https://md.research.elamur.ai/free/en/papers/kastner-2020-voice-at-interfaces-syntax/)
142. [**Challenges for the Representation of Morphology in Ontology Lexicons**Bettina Klimek, John P. McCrae, Julia Bosque-Gil, et al.*2019 · 7 citations*](https://md.research.elamur.ai/free/en/papers/klimek-2019-ontolex-morphology/)
143. [**Exponence, allomorphy and haplology in the number and State morphology of Modern Hebrew**Noam Faust*2018 · 7 citations*](https://md.research.elamur.ai/free/en/papers/faust-2018-exponence-allomorphy-haplology-number-state/)
144. [**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/)
145. [**Towards Universal Segmentations: UniSegments 1.0**Zdeněk Žabokrtský, Niyati Bafna, Jan Bodnár, et al.*2022 · 6 citations*](https://md.research.elamur.ai/free/en/papers/zabokrtsky-2022-universal-segmentations-unisegments-1-0/)
146. [**A Novel Challenge Set for Hebrew Morphological Disambiguation and Diacritics Restoration**Avi Shmidman, Joshua Guedalia, Shaltiel Shmidman, et al.*2020 · 6 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2020-novel-challenge-set-hebrew-morphological/)
147. [**HELFI: a Hebrew-Greek-Finnish Parallel Bible Corpus with Cross-Lingual Morpheme Alignment**Anssi Yli-Jyrä, Josi Purhonen, Matti Liljeqvist, et al.*2020 · 6 citations*](https://md.research.elamur.ai/free/en/papers/jyra-2020-helfi-hebrew-greek-finnish-parallel/)
148. [**A Characterwise Windowed Approach to Hebrew Morphological Segmentation**Amir Zeldes*2018 · 6 citations*](https://md.research.elamur.ai/free/en/papers/zeldes-2018-characterwise-windowed-approach-hebrew-morphological/)
149. [**Evaluation of Finite State Morphological Analyzers Based on Paradigm Extraction from Wiktionary**Ling Liu, Mans Hulden*2017 · 6 citations*](https://md.research.elamur.ai/free/en/papers/liu-2017-fst-paradigm-extraction-wiktionary/)
150. [**Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language Models**Mohamed Taher Alrefaie, Nour Eldin Morsy, Nada Samir*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/alrefaie-2024-exploring-tokenization-strategies-vocabulary-sizes/)
151. [**SinaTools: Open Source Toolkit for Arabic Natural Language Processing**Tymaa Hammouda, Mustafa Jarrar, Mohammed Khalilia*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/hammouda-2024-sinatools-open-source-toolkit-arabic/)
152. [**A Transformer-based parser for Syriac morphology**Martijn Naaijer, Constantijn Sikkel, Mathias Coeckelbergs, et al.*2023 · 5 citations*](https://md.research.elamur.ai/free/en/papers/naaijer-2023-transformer-based-parser-syriac-morphology/)
153. [**Finite State Machine Pattern-Root Arabic Morphological Generator, Analyzer and Diacritizer**Maha Alkhairy, Afshan Jafri, David Smith*2020 · 5 citations*](https://md.research.elamur.ai/free/en/papers/alkhairy-2020-finite-state-machine-pattern-root/)
154. [**An Accuracy-Enhanced Stemming Algorithm for Arabic Information Retrieval**Sadik Bessou, Mohamed Touahria*2019 · 5 citations*](https://md.research.elamur.ai/free/en/papers/bessou-2019-accuracy-enhanced-stemming-algorithm-arabic/)
155. [**First Results in a Study Evaluating Pre-annotation and Correction Propagation for Machine-Assisted Syriac Morphological Analysis**Paul Felt, Eric Ringger, Kevin Seppi, et al.*2012 · 5 citations*](https://md.research.elamur.ai/free/en/papers/felt-2012-first-results-study-evaluating-pre/)
156. [**The Effect of Automatic Tokenization, Vocalization, Stemming, and POS Tagging on Arabic Dependency Parsing**Emad Mohamed*2011 · 5 citations*](https://md.research.elamur.ai/free/en/papers/mohamed-2011-effect-automatic-tokenization-vocalization-stemming/)
157. [**The Karamel System and Semitic Languages: Structured Multi-Tiered Morphology**François Barthélemy*2009 · 5 citations*](https://md.research.elamur.ai/free/en/papers/barthelemy-2009-karamel-system-semitic-languages-structured/)
158. [**Finite-state Description of Semitic Morphology: A Case Study of Ancient Accadian**Laura Kataja, Kimmo Koskenniemi*1988 · 5 citations*](https://md.research.elamur.ai/free/en/papers/kataja-1988-finite-state-description-semitic-morphology/)
159. [**Beyond Base Predictors: Using LLMs to Resolve Ambiguities in Akkadian Lemmatization**Frederick Riemenschneider*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/riemenschneider-2025-beyond-base-predictors-llms-resolve/)
160. [**MoVoC: Morphology-Aware Subword Construction for Ge'ez Script Languages**Hailay Kidu Teklehaymanot, Dren Fazlija, Wolfgang Nejdl*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/teklehaymanot-2025-movoc-morphology-aware-subword-construction/)
161. [**MoVoC: Morphology-Aware Subword Construction for Geez Script Languages**Hailay Kidu Teklehaymanot, Dren Fazlija, Wolfgang Nejdl*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/teklehaymanot-2025-movoc-morphology-aware-subword-construction-geez/)
162. [**Computational Morphology and Lexicography Modeling of Modern Standard Arabic Nominals**Christian Khairallah, Reham Marzouk, Salam Khalifa, et al.*2024 · 4 citations*](https://md.research.elamur.ai/free/en/papers/khairallah-2024-computational-morphology-lexicography-modeling-modern/)
163. [**Normalized Orthography for Tunisian Arabic**Houcemeddine Turki, Kawthar Ellouze, Hager Ben Ammar, et al.*2024 · 4 citations*](https://md.research.elamur.ai/free/en/papers/turki-2024-normalized-orthography-tunisian-arabic/)
164. [**Neural Lemmatization of Multiword Expressions**Marine Schmitt, Mathieu Constant*2019 · 4 citations*](https://md.research.elamur.ai/free/en/papers/schmitt-2019-neural-lemmatization-multiword-expressions/)
165. [**Fixing the Infix: Unsupervised Discovery of Root-and-Pattern Morphology**Tarek Sakakini, Suma Bhat, Pramod Viswanath*2017 · 4 citations*](https://md.research.elamur.ai/free/en/papers/sakakini-2017-fixing-infix-unsupervised-discovery-root/)
166. [**Probabilistic Modelling of Morphologically Rich Languages**Jan A. Botha*2015 · 4 citations*](https://md.research.elamur.ai/free/en/papers/botha-2015-probabilistic-modelling-morphologically-rich-languages/)
167. [**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/)
168. [**Arabic Morphological Analyzer with Agglutinative Affix Morphemes and Fusional Concatenation Rules**Fadi Zaraket, Jad Makhlouta*2012 · 4 citations*](https://md.research.elamur.ai/free/en/papers/zaraket-2012-arabic-morphological-analyzer-agglutinative-affix/)
169. [**The Arabic Noun System Generation**Abdelhadi Soudi, Violetta Cavalli-Sforza, Abderrahim Jamari*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/soudi-2024-arabic-noun-system-generation/)
170. [**ARNE - A tool for Namend Entity Recognition from Arabic Text**Carolin Shihadeh, Günter Neumann*2012 · 3 citations*](https://md.research.elamur.ai/free/en/papers/shihadeh-2012-arne-tool-namend-entity-recognition/)
171. [**A Morphological, Syntactic and Semantic Search Engine for Hebrew Texts**Uzzi Ornan*2002 · 3 citations*](https://md.research.elamur.ai/free/en/papers/ornan-2002-morphological-syntactic-semantic-search-engine/)
172. [**A Large and Balanced Multi-Domain Arabic Corpus Annotated for Morphology, Syntax, and Readability**Khalid N. Elmadani, Adel Mahmoud Wizani, Hanada Taha Thomure, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/elmadani-2026-large-balanced-multi-domain-arabic/)
173. [**Modelling the Morphology of Verbal Paradigms: A Case Study in the Tokenization of Turkish and Hebrew**Giuseppe Samo, Paola Merlo*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/samo-2026-modelling-morphology-verbal-paradigms-case/)
174. [**Proffiliadur: Welsh Language Text Profiling Toolkit**Nicolás Gutiérrez-Rolón, Jonathan Davies, Tomos Williams, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/rolon-2026-proffiliadur-welsh-language-text-profiling/)
175. [**EvaCun 2025 Shared Task: Lemmatization and Token Prediction in Akkadian and Sumerian using LLMs**Shai Gordin, Aleksi Sahala, Shahar Spencer, et al.*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/gordin-2025-evacun-2025-shared-task-lemmatization/)
176. [**Lemmatization as a Classification Task: Results from Arabic across Multiple Genres**Mostafa Saeed, Nizar Habash*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/saeed-2025-lemmatization-as-classification-task-results/)
177. [**Picking Up Where the Linguist Left Off: Mapping Morphology to Phonology through Learning the Residuals**Salam Khalifa, Abdelrahim Qaddoumi, Ellen Broselow, et al.*2024 · 2 citations*](https://md.research.elamur.ai/free/en/papers/khalifa-2024-picking-up-where-linguist-left/)
178. [**Analogy in Contact: Modeling Maltese Plural Inflection**Sara Court, Andrea D. Sims, Micha Elsner*2023 · 2 citations*](https://md.research.elamur.ai/free/en/papers/court-2023-analogy-contact-modeling-maltese-plural/)
179. [**Beyond Concatenative Morphology: Applying OntoLex-Morph to Maltese**Maxim Ionov, Mike Rosner*2023 · 2 citations*](https://md.research.elamur.ai/free/en/papers/ionov-2023-beyond-concatenative-morphology-applying-ontolex/)
180. [**Two ways to agree in DN1&N2 constructions – Romance left-conjunct agreement and Germanic morphologically resolved agreement**Nicolas Mathieu Lamoure*2023 · 2 citations*](https://md.research.elamur.ai/free/en/papers/lamoure-2023-two-ways-agree-d-n1/)
181. [**Handling Stress in Finite-State Morphological Analyzers for Ancient Greek and Ancient Hebrew**Daniel G. Swanson, Francis M. Tyers*2022 · 2 citations*](https://md.research.elamur.ai/free/en/papers/swanson-2022-handling-stress-finite-state-morphological/)
182. [**How do we get there? Evaluating transformer neural networks as cognitive models for English past tense inflection**Xiaomeng Ma, Lingyu Gao*2022 · 2 citations*](https://md.research.elamur.ai/free/en/papers/ma-2022-how-do-we-get-there/)
183. [**Off-Line Arabic Handwritten Words Segmentation using Morphological Operators**Nisreen AbdAllah, Serestina Viriri*2021 · 2 citations*](https://md.research.elamur.ai/free/en/papers/abdallah-2021-off-line-arabic-handwritten-words/)
184. [**Comparing Neural Network Parsers for a Less-resourced and Morphologically-rich Language: Amharic Dependency Parser**Binyam Ephrem Seyoum, Yusuke Miyao, Baye Yimam Mekonnen*2020 · 2 citations*](https://md.research.elamur.ai/free/en/papers/seyoum-2020-comparing-neural-network-parsers-less/)
185. [**Morphology-rich Alphasyllabary Embeddings**Amanuel Mersha, Stephen Wu*2020 · 2 citations*](https://md.research.elamur.ai/free/en/papers/mersha-2020-morphology-rich-alphasyllabary-embeddings/)
186. [**Text-Fabric: handling Biblical data with IKEA logistics**Dirk Roorda*2019 · 2 citations*](https://md.research.elamur.ai/free/en/papers/roorda-2019-text-fabric-handling-biblical-data/)
187. [**Parser combinators for Tigrinya and Oromo morphology**Patrick Littell, Tom McCoy, Na-Rae Han, et al.*2018 · 2 citations*](https://md.research.elamur.ai/free/en/papers/littell-2018-parser-combinators-tigrinya-oromo-morphology/)
188. [**The Morphology of the tG-Stem in Hebrew and tirgaltî in Hos 11:3**Jeremy M Hutton, Safwat Marzouk*2012 · 2 citations*](https://md.research.elamur.ai/free/en/papers/hutton-2012-morphology-tg-stem-hebrew-tirgalti/)
189. [**Paradigmatic Treatment of Arabic Morphology**Martine Smets*1998 · 2 citations*](https://md.research.elamur.ai/free/en/papers/smets-1998-paradigmatic-treatment-arabic-morphology/)
190. [**A Bilingual Bimodal Benchmark for Arabic-English NLP across Grammatical Correction, Essay Scoring, Morphological Tagging, and Speech Recognition**Bashar Alhafni, Injy Hamed, Fadhl Eryani, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alhafni-2026-bilingual-bimodal-benchmark-arabic-english/)
191. [**Improving Latvian Morphosyntactic Parsing with Pretrained Encoders and Analyzer-Constrained Decoding**Arturs Znotins*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/znotins-2026-improving-latvian-morphosyntactic-parsing-pretrained/)
192. [**Morphemes Without Borders: Evaluating Root-Pattern Morphology in Arabic Tokenizers and LLMs**Yara Alakeel, Chatrine Qwaider, Hanan Aldarmaki, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alakeel-2026-morphemes-borders-evaluating-root-pattern/)
193. [**Morphemes without Borders: Evaluating Root–Pattern Morphology in Arabic Tokenizers and LLMs**Yara Yousif Alakeel, Chatrine Qwaider, Hanan Aldarmaki, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alakeel-2026-morphemes-without-borders-evaluating-root/)
194. [**A Derivational ChainBank for Modern Standard Arabic**Reham Marzouk, Sondos Krouna, Nizar Habash*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/marzouk-2025-derivational-chainbank-modern-standard-arabic/)
195. [**Creation of a Numerical Scoring System to Objectively Measure and Compare the Level of Rhetoric in Arabic Texts: A Feasibility Study, and A Working Prototype**Mandar Marathe*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/marathe-2025-creation-numerical-scoring-system-objectively/)
196. [**Allen Institute for AI @ SIGTYP 2024 Shared Task on Word Embedding Evaluation for Ancient and Historical Languages**Lester James V. Miranda*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/miranda-2024-allen-institute-ai-sigtyp-2024/)
197. [**Morphological Synthesizer for Ge'ez Language: Addressing Morphological Complexity and Resource Limitations**Gebrearegawi Gebremariam Gidey, Hailay Kidu Teklehaymanot, Gebregewergs Mezgebe Atsbha*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/gidey-2024-morphological-synthesizer-ge-ez-language/)
198. [**Overcoming the challenges in morphological annotation of Turkish in universal dependencies framework**Talha Bedir, Karahan Şahin, Onur Gungor, et al.*2021 · 1 citation*](https://md.research.elamur.ai/free/en/papers/bedir-2021-overcoming-challenges-morphological-annotation-turkish/)
199. [**Measuring Malaysian Students Achievement Level in Arabic Morphology: Improving and Developing Curriculum**Yasin Mohamed Yasin M. Sidiq, Hassan Mohamed Doka, Mauidlotun Nisa, et al.*2020 · 1 citation*](https://md.research.elamur.ai/free/en/papers/sidiq-2020-measuring-malaysian-students-achievement-level/)
200. [**Jabalin: a Comprehensive Computational Model of Modern Standard Arabic Verbal Morphology Based on Traditional Arabic Prosody**Alicia Gonzalez Martinez, Susana Lopez Hervas, Doaa Samy, et al.*2014 · 1 citation*](https://md.research.elamur.ai/free/en/papers/martinez-2014-jabalin-comprehensive-computational-model-modern/)
201. [**Incorporating an Error Corpus into a Spellchecker for Maltese**Michael Rosner, Albert Gatt, Andrew Attard, et al.*2012 · 1 citation*](https://md.research.elamur.ai/free/en/papers/rosner-2012-incorporating-error-corpus-into-spellchecker/)
202. [**Une description morphologique structurée en arbre du verbe akkadien qui utilise des structures de traits et des transducteurs multirubans A Tree-Structured morphological description of the Akkadian verb which uses Feature Structures and Multi-tape Transducers**François Barthélémy*2009 · 1 citation*](https://md.research.elamur.ai/free/en/papers/barthelemy-2009-une-description-morphologique-structuree-en/)
203. [**A Logical Analysis of Autosegmental Approaches to Root-and-Pattern Morphology in Arabic**Sarah Payne*2026*](https://md.research.elamur.ai/free/en/papers/payne-2026-logical-analysis-autosegmental-approaches-root/)
204. [**Annotation Tools for Language Documentation: A Survey of Capabilities, Gaps, and Morphological Support**Changbing Yang, Pt Anderson, Godfred Agyapong, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yang-2026-annotation-tools-language-documentation-survey/)
205. [**ArabiGEE: A Hierarchical Taxonomy for Arabic Grammatical Error Explanation**Khaled Elhady, Omar Kallas, Nizar Habash, et al.*2026*](https://md.research.elamur.ai/free/en/papers/elhady-2026-arabigee-hierarchical-taxonomy-arabic-grammatical/)
206. [**AvarLab: An Integrated Digital Ecosystem for Avar, a Morphologically Rich Low-Resource Language**Kebed Zagidov, Thomas Brochhagen*2026*](https://md.research.elamur.ai/free/en/papers/zagidov-2026-avarlab-integrated-digital-ecosystem-avar/)
207. [**Benchmarking Arabic — Russian Machine Translation: A Comparison of Fine-tuned NMT and Few-shot LLMs under Rich Morphology and Low Lexical Overlap**Mullosharaf K. Arabov*2026*](https://md.research.elamur.ai/free/en/papers/arabov-2026-benchmarking-arabic-russian-machine-translation/)
208. [**Beyond Word Boundaries: A Hebrew Coreference Benchmark and an Evaluation Protocol for Morphologically Complex Text**Refael Shaked Greenfeld, Reut Tsarfaty*2026*](https://md.research.elamur.ai/free/en/papers/greenfeld-2026-beyond-word-boundaries-hebrew-coreference/)
209. [**Bringing Mapudungun into the Modern MT Ecosystem: Morphology-Aware Tokenization for NLLB-200 Fine-Tuning**Isaac Thompson, Brandon Rogers, Eric Ringger*2026*](https://md.research.elamur.ai/free/en/papers/thompson-2026-bringing-mapudungun-into-modern-mt/)
210. [**Character-aware Transformers Learn an Irregular Morphological Pattern Yet None Generalize Like Humans**Akhilesh Kakolu Ramarao, Kevin Tang, Dinah Baer-Henney*2026*](https://md.research.elamur.ai/free/en/papers/ramarao-2026-character-aware-transformers-learn-irregular/)
211. [**CommonMorph: Participatory Morphological Documentation Platform**Aso Mahmudi, Sina Ahmadi, Kemal Maulana Kurniawan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mahmudi-2026-commonmorph-participatory-morphological-documentation-platform/)
212. [**Compression-based Language Complexity under Register Variation in Portuguese**Felipe Ribas Serras, Marcelo Finger*2026*](https://md.research.elamur.ai/free/en/papers/serras-2026-compression-based-language-complexity-under/)
213. [**Enhancing Self-Efficacy Through Gamified Learning: Evidence from Arabic Morphology (Ṣarf) Instruction in Higher Education**Abdul Ghofur, Ariga Bahrodin, Siti Durotun Naseha, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ghofur-2026-enhancing-self-efficacy-through-gamified/)
214. [**From Lemmatization to Legal Terminology: Assessing an Hybrid Pipeline on Justinian's Digest**Paola Marongiu, Eva Sassolini*2026*](https://md.research.elamur.ai/free/en/papers/marongiu-2026-lemmatization-legal-terminology-assessing-hybrid/)
215. [**How much capacity does Turkish inflection require? An empirical study of GRU encoder–decoder bottlenecks.**Fred Mailhot*2026*](https://md.research.elamur.ai/free/en/papers/mailhot-2026-how-much-capacity-does-turkish/)
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