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title: "Morphology — papers, page 4"
description: "Morphology: 245 papers of the Elamur Research library · page 4 of 4 · 226–245, the most cited first."
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# 🧩 Morphology

245 papers · page 4 of 4 · 226–245 · 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.

[← prev](https://md.research.elamur.ai/free/en/topics/morphology/page/3/) [1](https://md.research.elamur.ai/free/en/topics/morphology/) [2](https://md.research.elamur.ai/free/en/topics/morphology/page/2/) [3](https://md.research.elamur.ai/free/en/topics/morphology/page/3/) **4**

226. [**T'OMIM: A Morphologically Annotated Dataset of Parallel Passages in the Hebrew Bible**David M. Smiley*2026*](https://md.research.elamur.ai/free/en/papers/smiley-2026-tomim-morphologically-annotated-dataset-parallel/)
227. [**The acquisition of English irregular inflections by Yemeni L1 Arabic learners: A Universal Grammar approach**Muneef Y. Alsawsh, Mohammed Q. Shormani*2026*](https://md.research.elamur.ai/free/en/papers/alsawsh-2026-acquisition-english-irregular-inflections-yemeni/)
228. [**The Impact of Tokenization Algorithms on Hungarian Language Model Performance**Mátyás Osváth, Máté Norbert Molnár, Roland Gunics, et al.*2026*](https://md.research.elamur.ai/free/en/papers/osvath-2026-impact-tokenization-algorithms-hungarian-language/)
229. [**YallaMorph: A Benchmark for Evaluating Arabic Morphological Generation in Large Language Models**Mahmoud Reda, Salam Khalifa, Reham Marzouk, et al.*2026*](https://md.research.elamur.ai/free/en/papers/reda-2026-yallamorph-benchmark-evaluating-arabic-morphological/)
230. [**Developing a Universal Dependencies Treebank for Alaskan Gwich'in**Matthew Kirk Andrews, Cagri Coltekin*2025*](https://md.research.elamur.ai/free/en/papers/andrews-2025-developing-universal-dependencies-treebank-alaskan/)
231. [**Enhancing Arabic Morphology Learning via Jigsaw: An Experimental Study in a Islamic Boarding School**Moh. Tohiri Habib*2025*](https://md.research.elamur.ai/free/en/papers/habib-2025-enhancing-arabic-morphology-learning-jigsaw/)
232. [**Semitic Root Encoding: Tokenization Based on the Templatic Morphology of Semitic Languages in NMT**Brendan T. Hatch, Stephen D. Richardson*2025*](https://md.research.elamur.ai/free/en/papers/hatch-2025-semitic-root-encoding-tokenization-based/)
233. [**The Active Participle (Ism Fā‘il) in Surah Al-Anfāl: Patterns, Functions, and Its Relevance in the Study of Arabic Morphology (Ilm al-Ṣarf)**Ihsan Irfandi, Muhammad Sayuti, Moh. Abdul Kholiq Hasan*2025*](https://md.research.elamur.ai/free/en/papers/irfandi-2025-active-participle-ism-fail-surah/)
234. [**West Germanic noun-noun compounds and the morphology-syntax trade-off**Pablo Mosteiro, Damián Blasi, Denis Paperno*2025*](https://md.research.elamur.ai/free/en/papers/mosteiro-2025-west-germanic-noun-noun-compounds/)
235. [**Morphological and Syntactic Characteristics of Adjectives in Philippine English: A Corpus-Based Description**Luvee Hazel Aquino, Christine Jane Aquino*2024*](https://md.research.elamur.ai/free/en/papers/aquino-2024-morphological-syntactic-characteristics-adjectives-philippine/)
236. [**Separated Word Recognition in Chinese (汉语词语离合现象识别研究)**Lu Zhou (周露), Weiguang Qu (曲维光), Tingxin Wei (魏庭新), et al.*2023*](https://md.research.elamur.ai/free/en/papers/zhou-2023-separated-word-recognition/)
237. [**Splitting score computation in a CRF morphological analyzer to trade model size against speed (CRFに基づく形態素解析器のスコア計算の分割によるモデルサイズと解析速度の調整)**赤部晃一, 神田峻介, 小田悠介*2023*](https://md.research.elamur.ai/free/en/papers/akabe-2023-splitting-score-computation-crf/)
238. [**The acquisition of inflectional morphology: The representation of nominal inflections in Amharic speaking children’s speeches**Fikre Diress Alamirew*2022*](https://md.research.elamur.ai/free/en/papers/alamirew-2022-acquisition-inflectional-morphology-representation-nominal/)
239. [**Lemmatisation, etymology and information overload on English and Swedish editions of Wiktionary**Allahverdi Verdizade*2021*](https://md.research.elamur.ai/free/en/papers/verdizade-2021-wiktionary-en-sv/)
240. [**Character Alignment in Morphologically Complex Translation Sets for Related Languages**Michael Gasser, Binyam Ephrem Seyoum, Nazareth Amlesom Kifle*2020*](https://md.research.elamur.ai/free/en/papers/gasser-2020-character-alignment-morphologically-complex-translation/)
241. [**A semiautomatic lemmatisation procedure for treebanks. Old English strong and weak verbs**Marta Tío Sáenz, Darío Metola Rodríguez*2017*](https://md.research.elamur.ai/free/en/papers/saenz-2017-semiautomatic-lemmatisation-procedure-treebanks-old/)
242. [**Evaluating Lemmatization Models for Machine-Assisted Corpus-Dictionary Linkage**Kevin Black, Eric Ringger, Paul Felt, et al.*2014*](https://md.research.elamur.ai/free/en/papers/black-2014-evaluating-lemmatization-models-machine-assisted/)
243. [**Integrating Aspectually Relevant Properties of Verbs into a Morphological Analyzer for English**Katina Bontcheva*2012*](https://md.research.elamur.ai/free/en/papers/bontcheva-2012-integrating-aspectually-relevant-properties-verbs/)
244. [**The Book of Isaiah: Morphological Clustering and Disputed Authorship**Asa Kasher*1969*](https://md.research.elamur.ai/free/en/papers/kasher-1969-book-isaiah-morphological-clustering-disputed/)
245. [**A Modern English Grammar on Historical Principles, Parts II–VI**Otto Jespersen*1914*](https://md.research.elamur.ai/free/en/papers/jespersen-1914-modern-english-grammar-historical/)

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