---
title: "Language Resources and Evaluation 2025 — all accepted papers"
description: "All 81 papers of Language Resources and Evaluation 2025, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/language-resources-and-evaluation/2025/papers/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/language-resources-and-evaluation/2025/papers/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Language Resources and Evaluation](https://md.research.elamur.ai/free/en/venues/language-resources-and-evaluation/) / [2025](https://md.research.elamur.ai/free/en/venues/language-resources-and-evaluation/2025/) / papers

# Language Resources and Evaluation 2025: all accepted papers

81 papers · the most cited first · [← Language Resources and Evaluation 2025](https://md.research.elamur.ai/free/en/venues/language-resources-and-evaluation/2025/)

1. **[MEMD-ABSA: a multi-element multi-domain dataset for aspect-based sentiment analysis ↗](https://doi.org/10.1007/s10579-025-09820-9)**Hongjie Cai, Nan Song, Zengzhi Wang et al.*16 citations*
2. **[Sentiment analysis in low-resource contexts: BERT’s impact on Central Kurdish ↗](https://doi.org/10.1007/s10579-024-09805-0)**Kozhin muhealddin Awlla, Hadi Veisi, Abdulhady Abas Abdullah*13 citations*
3. **[ArmanEmo: a Persian dataset for text-based emotion detection ↗](https://doi.org/10.1007/s10579-025-09817-4)**Hossein Mirzaee, Javad Peymanfard, Hamid Habibzadeh Moshtaghin et al.*12 citations*
4. **[Automatic readability assessment for sentences: neural, hybrid and large language models ↗](https://doi.org/10.1007/s10579-024-09800-5)**Fengkai Liu, Tan Jin, John Lee*11 citations*
5. **[A cross-validation study of Turkish sentiment analysis datasets and tools ↗](https://doi.org/10.1007/s10579-025-09869-6)**Şevval Çakıcı, Dilara Karaduman, Mehmet Akif Çırlan et al.*7 citations*
6. **[Benchmarking Hindi-to-English direct speech-to-speech translation with synthetic data ↗](https://doi.org/10.1007/s10579-025-09827-2)**Mahendra Gupta, Maitreyee Dutta, Chandresh Kumar Maurya*7 citations*
7. **[Detecting caste and migration hate speech in low-resource Tamil language ↗](https://doi.org/10.1007/s10579-025-09848-x)**Bharathi Raja Chakravarthi, R. Saranya, Rahul Ponnusamy et al.*7 citations*
8. **[AMTCF: an advanced multimodal transformer and ConvNext fusion for contextualized fake news detection in digital landscape ↗](https://doi.org/10.1007/s10579-025-09838-z)**Shivani Tufchi, Ashima Yadav, Tanveer Ahmed*6 citations*
9. **[An integrated framework for emotion and sentiment analysis in Tamil and Malayalam visual content ↗](https://doi.org/10.1007/s10579-024-09804-1)**Jothi Prakash V, S. Arul Antran Vijay*6 citations*
10. **[Ngalawan Ujaran Sengit: hate speech detection in indonesian code-mixed social media data ↗](https://doi.org/10.1007/s10579-025-09810-x)**Endang Wahyu Pamungkas, Patricia Chiril*6 citations*
11. **[Review of recent emotion-annotated text corpora and resources ↗](https://doi.org/10.1007/s10579-025-09828-1)**Anna Koufakou, Elijah Nieves*6 citations*
12. **[Myanmar XNLI: building a dataset and exploring low-resource approaches to natural language inference with Myanmar ↗](https://doi.org/10.1007/s10579-025-09844-1)**Aung Kyaw Htet, Mark Dras*5 citations*
13. **[UniC: a dataset for emotion analysis of videos with multimodal and unimodal labels ↗](https://doi.org/10.1007/s10579-025-09837-0)**Quanqi Du, Sofie Labat, Thomas Demeester et al.*5 citations*
14. **[Improving irony speech spreaders profiling on social networks using clustering & transformer based models ↗](https://doi.org/10.1007/s10579-025-09815-6)**Leila Hazrati, Alireza Sokhandan, Leili Farzinvash*4 citations*
15. **[Multi-task learning for multi-dialect Arabic sentiment classification and sarcasm detection ↗](https://doi.org/10.1007/s10579-025-09823-6)**Mohammed Elsadiq Barmati, Bachir Said, Abdelghani Dahou*4 citations*
16. **[An empirical evaluation of arabic text formality transfer: a comparative study ↗](https://doi.org/10.1007/s10579-025-09873-w)**Fahad Jibrin Abdu, Raed Mughaus, Shadi Ibrahim Abudalfa et al.*3 citations*
17. **[Aspect-based multimodal sentiment analysis via employing visual-to-emotional-caption translation network using visual-caption pairs ↗](https://doi.org/10.1007/s10579-025-09824-5)**Ananya Pandey, Dinesh Kumar Vishwakarma*3 citations*
18. **[CLARIN-PL: a user centred language technology infrastructure ↗](https://doi.org/10.1007/s10579-025-09839-y)**Maciej Piasecki, Agnieszka Dziob, Arkadiusz Janz et al.*3 citations*
19. **[Creation of a gold standard Dutch corpus of clinical notes for adverse drug event detection: the Dutch ADE corpus ↗](https://doi.org/10.1007/s10579-025-09832-5)**Rachel M. Murphy, Dave Anton Dongelmans, Nicolette F. de Keizer et al.*3 citations*
20. **[Evaluating multilingual digital resources: machine translation adoption and user satisfaction across six European countries ↗](https://doi.org/10.1007/s10579-025-09884-7)**Andris Saulı̄tis*3 citations*
21. **[MulCogBench: a multi-modal cognitive benchmark dataset for evaluating Chinese and English computational language models ↗](https://doi.org/10.1007/s10579-025-09843-2)**Yunhao Zhang, Xiaohan Zhang, Chong Li et al.*3 citations*
22. **[POS tagging of low-resource Pashto language: annotated corpus and BERT-based model ↗](https://doi.org/10.1007/s10579-025-09834-3)**Ijazul Haq, Yingjie Zhang, Intakhab Alam Qadri*3 citations*
23. **[Semantic processing for Urdu: corpus creation, parsing, and generation ↗](https://doi.org/10.1007/s10579-025-09819-2)**Muhammad Saad Amin, Xiao Zhang, Luca Anselma A et al.*3 citations*
24. **[A framework to synthetically generate fine-grained hallucinated data ↗](https://doi.org/10.1007/s10579-025-09864-x)**Ashita Saxena, Dishank Aggarwal, Naveen Badathala et al.*2 citations*
25. **[A new evaluation method: evaluation data and metrics for Chinese grammatical error correction ↗](https://doi.org/10.1007/s10579-025-09814-7)**Nankai Lin, Yingwen Fu, Xiaotian Lin et al.*2 citations*
26. **[Automating translation checks of financial documents using large language models ↗](https://doi.org/10.1007/s10579-025-09862-z)**Maren Pielka, Max Hahnbück, Tobias Deußer et al.*2 citations*
27. **[Challenges and improvisation in machine translation: the case of malayalam–tamil machine translation ↗](https://doi.org/10.1007/s10579-025-09840-5)**Jisha P. Jayan, J. Satheesh Kumar, T. Amudha*2 citations*
28. **[DeepMine-multi-TTS: a Persian speech corpus for multi-speaker text-to-speech ↗](https://doi.org/10.1007/s10579-025-09807-6)**Majid Adibian, Hossein Zeinali, Soroush Barmaki*2 citations*
29. **[DepreSym: A Depression Symptom Annotated Corpus and the Role of Large Language Models as Assessors of Psychological Markers ↗](https://doi.org/10.1007/s10579-025-09831-6)**Anxo Pérez, Marcos Fernández-Pichel, Javier Parapar et al.*2 citations*
30. **[Detoxifying language model outputs: combining multi-agent debates and reinforcement learning for improved summarization ↗](https://doi.org/10.1007/s10579-025-09830-7)**G. Bharathi Mohan, M. Gayathri, R Prasanna Kumar*2 citations*
31. **[EmoVec: emotion detection in Malayalam using custom word embeddings ↗](https://doi.org/10.1007/s10579-025-09892-7)**K Anuja, P. C. Reghu Raj, K. R. Remesh Babu*2 citations*
32. **[Evaluation of end-to-end continuous spanish lipreading in different data conditions ↗](https://doi.org/10.1007/s10579-025-09809-4)**David Gimeno-Gómez, Carlos-D. Martínez-Hinarejos*2 citations*
33. **[HASTIKA: hate speech and target identification in Kannada-English code-mixed text ↗](https://doi.org/10.1007/s10579-025-09836-1)**Sanjana Kavatagi, Rashmi Ramesh Rachh*2 citations*
34. **[Introducing a Swahili social media sentiment analysis dataset for the telecom industry ↗](https://doi.org/10.1007/s10579-024-09803-2)**Mahadia Tunga, Davis David*2 citations*
35. **[Multilingual prediction of semantic norms with language models: a study on English and Chinese ↗](https://doi.org/10.1007/s10579-025-09866-9)**Bo Peng, Yu-Yin Hsu, Emmanuele Chersoni et al.*2 citations*
36. **[The narratives of war (NoW) corpus of written testimonies of the Russia-Ukraine war ↗](https://doi.org/10.1007/s10579-025-09813-8)**Сергій Васильович Засєкін, Larysa Zasiekina, Emilie Altman et al.*2 citations*
37. **[Towards neural named entity recognition system in Tigrinya with large-scale dataset ↗](https://doi.org/10.1007/s10579-025-09825-4)**Sham K. Berhane, Simon M. Beyene, Yoel G. Teklit et al.*2 citations*
38. **[A Chinese natural speech complex emotion dataset based on emotion vector annotation method ↗](https://doi.org/10.1007/s10579-025-09845-0)**Xiaolong Wu, Chaobo Song, Shanshan Xiang et al.*1 citation*
39. **[A comprehensive evaluation of semantic relation knowledge of pretrained language models and humans ↗](https://doi.org/10.1007/s10579-025-09858-9)**Zhihan Cao, Hiroaki S. Yamada, Simone Teufel et al.*1 citation*
40. **[Attention and LoRA-based multimodal emotion detection system ↗](https://doi.org/10.1007/s10579-025-09841-4)**Joy Gorai, Dilip Kumar Shaw*1 citation*
41. **[DiscoNaija: a discourse-annotated parallel Nigerian Pidgin-English corpus ↗](https://doi.org/10.1007/s10579-025-09850-3)**Merel Scholman, Marian Marchal, AriaRay Brown et al.*1 citation*
42. **[EMMI–Empathic Multimodal Motivational Interviews: automatic multimodal features extraction and patient type definition ↗](https://doi.org/10.1007/s10579-025-09856-x)**Lucie Galland, Catherine Pélachaud, Florian Pécune*1 citation*
43. **[Error annotation: a review and faceted taxonomy ↗](https://doi.org/10.1007/s10579-024-09794-0)**Gülşen Eryiğit, Anna Golynskaia, Elif Sayar et al.*1 citation*
44. **[Exploring lexical factors in semantic annotation: insights from the classification of nouns in French ↗](https://doi.org/10.1007/s10579-024-09801-4)**Lucie Barque, Richard Huyghe, Martial Foegel*1 citation*
45. **[Hybrid translation for sign languages: combining rule-based and neural machine translation in a low-resource scenario ↗](https://doi.org/10.1007/s10579-025-09874-9)**Diego R. B. da Silva, Manuella Aschoff Cavalcanti Brandão Lima, Samuel de Moura Moreira et al.*1 citation*
46. **[Ma’aks: manually-curated parallel dataset for Arabic text sentiment swap ↗](https://doi.org/10.1007/s10579-025-09895-4)**Raed Mughaus, Shadi Ibrahim Abudalfa, Hamzah Luqman et al.*1 citation*
47. **[MedicalCare: building and annotating an empathy-rich corpus ↗](https://doi.org/10.1007/s10579-025-09806-7)**Yinglun Sun, Jose Zavala, Shuju Shi et al.*1 citation*
48. **[Turkronicles: diachronic resources for the fast evolving Turkish language ↗](https://doi.org/10.1007/s10579-025-09857-w)**Togay Yazar, Mücahid Kutlu, İsa Kerem Bayırlı*1 citation*
49. **[Umplc: the first longitudinal learner corpus of Portuguese ↗](https://doi.org/10.1007/s10579-025-09811-w)**M. James You, Jing Zhang, Derek F. Wong et al.*1 citation*
50. **[Using contrastive language-image pre-training for Thai recipe recommendation ↗](https://doi.org/10.1007/s10579-025-09816-5)**Thanatkorn Chuenbanluesuk, Voramate Plodprong, Weerasak Karoon et al.*1 citation*
51. **[Utilizing phonetic similarity for cross-source and cross-language toponym matching: a benchmark and prototype ↗](https://doi.org/10.1007/s10579-025-09812-9)**Tomer Sagi, Moran Zaga, Sinai Rusinek et al.*1 citation*
52. **[“But why??” Evaluation of user-suggested synonyms in the Thesaurus of Modern Slovene ↗](https://doi.org/10.1007/s10579-025-09821-8)**Magdalena Gapsa*1 citation*
53. **[A novel credibility dataset and annotation framework for COVID-19-related German tweets ↗](https://doi.org/10.1007/s10579-025-09871-y)**Karolina Zaczynska, Elena Leitner, Georg Rehm
54. **[Book Review: The Routledge handbook of discourse and disinformation ↗](https://doi.org/10.1007/s10579-025-09872-x)**Huabin Wang, Ying Wang
55. **[Building a specialised Hebrew textual corpus on construction, planning and architecture ↗](https://doi.org/10.1007/s10579-025-09863-y)**Omri Shafer Raviv, Or Aleksandrowicz, Nick Howell et al.
56. **[Data-driven weakly supervised emotion classification with consistency regularization: Mandarin Chinese as a case ↗](https://doi.org/10.1007/s10579-025-09868-7)**Odbal Odbal, Zhong Zheng, Guanhong Zhang
57. **[Developing and mining an underage modern Greek chat corpus: Do students show signs of bullying behavior while working on a project? ↗](https://doi.org/10.1007/s10579-025-09891-8)**Stefanos Nikiforos, Despoina Mouratidis, Katia Lida Kermanidis
58. **[Disfluency processing for cascaded speech translation involving English and Indian languages ↗](https://doi.org/10.1007/s10579-025-09818-3)**Vandan Mujadia, Pruthwik Mishra, Dipti Misra Sharma
59. **[Enhancing sentiment analysis of moroccan dialect through transformer-based language models architectures and active learning strategies ↗](https://doi.org/10.1007/s10579-025-09878-5)**Meriem Amnay, Mourad Jabrane, Amal Ourdou et al.
60. **[Enhancing software and learning with Serbian student feedback corpora ↗](https://doi.org/10.1007/s10579-025-09855-y)**Dragan Vidaković, Nikola Luburić, Aleksandar Kovačević et al.
61. **[Exa-PSD: a new Persian sentiment analysis dataset on Twitter ↗](https://doi.org/10.1007/s10579-025-09886-5)**Seyed Himan Ghaderi, Saeed Sarbazi-Azad, Mohammad Mehdi Jaziriyan et al.
62. **[Examining emotions in English and translated Chinese children’s literature: a bilingual emotion detection model based on LLMs ↗](https://doi.org/10.1007/s10579-025-09846-z)**Yanjin Liu, Sophia Yat Mei Lee, Dechao Li
63. **[Examining inferred author and textual correlates of harmful language annotation ↗](https://doi.org/10.1007/s10579-025-09822-7)**Katerina Korre, Seren Yenikent, Angelo Basile et al.
64. **[Human–machine interaction in building an English reference dataset for natural language processing tasks ↗](https://doi.org/10.1007/s10579-025-09835-2)**Branko Žitko, Angelina Gašpar, Lucija Bročić et al.
65. **[IIT Delhi Dialogue Corpus: a quantitative analysis of a spoken corpus of Hindi ↗](https://doi.org/10.1007/s10579-025-09867-8)**Benu Pareek, Mudafia Zafar, Meghna Hooda et al.
66. **[IL-ILGOV-2024: a translation benchmark for Hindi-to-12 languages in the governance domain ↗](https://doi.org/10.1007/s10579-025-09859-8)**Vandan Mujadia, Rao B. Ashwath, Dipti Misra Sharma
67. **[Multi-label document classification for Urdu: corpus and methods ↗](https://doi.org/10.1007/s10579-025-09861-0)**Jawad Shafi, Amir Hussain, Rao Muhammad Adeel Nawab et al.
68. **[Parallel Trees: a novel resource with aligned dependency and constituency syntactic representations ↗](https://doi.org/10.1007/s10579-025-09826-3)**Chiara Alzetta, Alessio Miaschi, Felice Dell’Orletta⋄ et al.
69. **[Part of speech (POS) tagging in Roman Urdu: datasets and models ↗](https://doi.org/10.1007/s10579-025-09865-w)**Ali Faheem, Faizad Ullah, Ubaid Azam et al.
70. **[PrinParLat: a lexicon of principal parts of Latin verbs linked to the LiLa Knowledge Base ↗](https://doi.org/10.1007/s10579-025-09847-y)**Matteo Pellegrini, Marco Passarotti, Francesco Mambrini et al.
71. **[Prompting encoder models for zero-shot classification: a cross-domain study in Italian ↗](https://doi.org/10.1007/s10579-025-09853-0)**Serena Auriemma, Martina Miliani, Mauro Madeddu et al.
72. **[PropitterX: a Twitter-based propaganda corpus extended with multiple contextual features ↗](https://doi.org/10.1007/s10579-025-09849-w)**Marco Casavantes, Manuel Montes-y-Gómez, Delia Irazú Hernández-Farías et al.
73. **[Special issue on language technology platforms ↗](https://doi.org/10.1007/s10579-025-09842-3)**Georg Rehm, Stelios Piperidis, Kalina Bontcheva et al.
74. **[TANDO+: corpus and baselines for document-level machine translation in Basque–Spanish and Basque–French ↗](https://doi.org/10.1007/s10579-025-09854-z)**Harritxu Gete, Thierry Etchegoyhen, Gorka Labaka et al.
75. **[Tenyidie named entity recognition: corpus creation and machine/deep learning applications ↗](https://doi.org/10.1007/s10579-025-09880-x)**Teisovi Angami, Themrichon Tuithung
76. **[The Knesset corpus: an annotated corpus of Hebrew parliamentary proceedings](https://md.research.elamur.ai/free/en/papers/goldin-2024-knesset-corpus-annotated-corpus-hebrew/)**Gili Goldin, Nick Howell, Noam Ordan et al.*our summary*
77. **[The Sanskrit Sembank ↗](https://doi.org/10.1007/s10579-025-09852-1)**Oliver Hellwig, Erica Biagetti
78. **[The corpus of aggressive language in Polish parliamentary debates ↗](https://doi.org/10.1007/s10579-025-09870-z)**Justyna Sarzyńska‐Wawer, Aleksander Wawer
79. **[Tropes and the EmotAix lexicon for evaluating the emotional tonality of French verbal association corpora in social representation studies ↗](https://doi.org/10.1007/s10579-025-09829-0)**Pascal Moliner, Patrick Rateau, Anthony Piermattéo et al.
80. **[UFLA-FORMS: an academic forms dataset for information extraction in the Portuguese language ↗](https://doi.org/10.1007/s10579-024-09802-3)**Victor Gonçalves Lima, Denilson Alves Pereira
81. **[kidsNARRATE: a versatile corpus for studying Chinese-english bilingual L2 narrative skills in preschoolers ↗](https://doi.org/10.1007/s10579-025-09851-2)**Hiu Ching Hung, Thorsten Piske, Paula Andrea Pérez-Toro et al.
- [← back to](https://md.research.elamur.ai/free/en/venues/language-resources-and-evaluation/2025/) — Language Resources and Evaluation 2025