# MNLP 2025 : 6th IEEE Conference on Machine Learning and Natural Language Processing

Taking place in Morocco, Conference was concluded on October 04, 2025. Primary subject areas for this edition include Artificial Intelligence and Uncategorized.

**Type**: Conference
**Status**: Expired
**Verified On**: 9th May, 2026

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## ⏱ Critical Deadline
> *No submission deadline specified*

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## 📍 Event Information
- **Mode**: In Person
- **Location**: Morocco
- **Field**: Interdisciplinary
- **Date**: October 4-10, 2025
- **Official Website**: [https://ieee-congress.org/cist25/conferences/6th-ieee-mnlp](https://ieee-congress.org/cist25/conferences/6th-ieee-mnlp?utm_source=callforpaper.org)
- **Sponsors / In Cooperation**: IEEE

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## 📝 Call for Papers Description


<a href="https://callforpaper.org/categories/conomie" title="Browse  call for papers" rel="follow" aria-label="View more  call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors"></a>The 6th IEEE Conference on "Machine Learning and Natural Language Processing: Models, <a href="https://callforpaper.org/categories/systems" title="Browse Systems call for papers" rel="follow" aria-label="View more Systems call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">Systems</a>, Data and Applications" will be held within the IEEE CiSt’2025 international congress the week of 04th - 10th October 2025, Ouarzazate - Marrakech, Morocco<br><br>The MNLP conference aims to explore and debate the latest technical status and recent innovations trends in the research and applications of natural language processing and machine learning models and technologies. The purpose of the conference is to provide an opportunity for the leading academic scientists, researchers, engineers, industrialists, scholars and other professionals from all over the world to interact and exchange their new ideas and research outcomes in related fields and develop possible chances for future collaboration. The conference is also aimed at motivating the next generation of researchers to promote their interests in machine learning and <a href="https://callforpaper.org/categories/nlp" title="Browse NLP call for papers" rel="follow" aria-label="View more NLP call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">NLP</a>.<br><br>NLP technologies and digital resources such as lexical databases, ontologies and corpora are instrumental to millions of people who use them every day without even being aware of them. Systems like Google Translate and web search engines rely more and more on levels of linguistic <a href="https://callforpaper.org/categories/information-1" title="Browse information call for papers" rel="follow" aria-label="View more information call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">information</a> automatically provided through NLP tools, and on huge repositories of structured language data. This development has deeply affected the way we think about language from a scientific perspective. Linguists have progressively turned their focus from abstract properties of language to the dynamics of its usage in communicative contexts. There is increasing awareness that language digital repositories, technologies and computational models of language processes not only shed considerable light on traditional issues in language and literary studies but may also lead to a radical reconceptualization of them. Aspects of language acquisition, lexical access, <a href="https://callforpaper.org/categories/speech-1" title="Browse speech call for papers" rel="follow" aria-label="View more speech call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">speech</a> recognition, text <a href="https://callforpaper.org/categories/translation-1" title="Browse translation call for papers" rel="follow" aria-label="View more translation call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">translation</a>, text analysis, ontology extraction, reading and optical character recognition can be put to a rigorous empirical test through computer simulations. Likewise, corpora, lexical databases and ontologies have helped us focus on the nature of language data from a different perspective. From this standpoint, digital data and computer technologies provide an empirical middle ground where <a href="https://callforpaper.org/categories/interdisciplinary-1" title="Browse interdisciplinary call for papers" rel="follow" aria-label="View more interdisciplinary call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">interdisciplinary</a> insights can be empirically assessed and integrated.<br><br>This conference is therefore equally intended to explore and debate the contribution of computational language models and language data to a better understanding of linguistic, psycholinguistic, sociolinguistic, historical and literary issues of the language and culture. We particularly welcome contributions addressing fundamental aspects of NLP, communication <a href="https://callforpaper.org/categories/technology" title="Browse technology call for papers" rel="follow" aria-label="View more technology call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">technology</a>, language resources and automated text analysis by looking at their implications for both state-of-the-<a href="https://callforpaper.org/categories/art-1" title="Browse art call for papers" rel="follow" aria-label="View more art call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">art</a> language technologies and language knowledge at large.<br><br> <br><br>CHAIRS<br><br>Dr. Vito Pirrelli, ILC CNR, Pisa Italy<br>Pr. Azzeddine Mazroui, Mohammed First University, Oujda Morocco<br>Dr. Ouafae Nahli, ILC CNR, Pisa Italy<br><br>TOPICS<br><br>We solicit submissions of original ideas and papers describing significant results and developments from both researchers and practitioners in a range of fields related but not limited to any of the following topics:<br><br>-- Information retrieval and extraction<br>-- Data, Web, and Text mining<br>-- Named entity recognition<br>-- Question answering<br>-- Word sense disambiguation<br>-- Machine Translation<br>-- Stochastic language models<br>-- Connectionist language models<br>-- Language and <a href="https://callforpaper.org/categories/information-technologies" title="Browse information technologies call for papers" rel="follow" aria-label="View more information technologies call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">information technologies</a> for cultural <a href="https://callforpaper.org/categories/heritage-1" title="Browse heritage call for papers" rel="follow" aria-label="View more heritage call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">heritage</a><br>-- Corpora, lexical databases and ontologies<br>-- Tools and methodologies for linguistic annotation and text analysis<br>-- Optical character recognition<br>-- Speech processing<br>-- Machine Learning models and applications<br>-- <a href="https://callforpaper.org/categories/artificial-intelligence" title="Browse Artificial Intelligence call for papers" rel="follow" aria-label="View more Artificial Intelligence call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">Artificial Intelligence</a> and Recommender systems<br>-- Neural Networks<br>-- Deep Learning<br>-- <a href="https://callforpaper.org/categories/pattern-recognition" title="Browse Pattern Recognition call for papers" rel="follow" aria-label="View more Pattern Recognition call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">Pattern Recognition</a><br>-- <a href="https://callforpaper.org/categories/computer-vision" title="Browse Computer Vision call for papers" rel="follow" aria-label="View more Computer Vision call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">Computer Vision</a><br>-- Sentiment analysis<br>-- Text readability<br> <br><br>PUBLICATION<br><br>Accepted papers will be published in the proceeding and submitted to IEEE Xplore Library, Scopus and DBLP. Furthermore, Authors of high <a href="https://callforpaper.org/categories/quality-1" title="Browse quality call for papers" rel="follow" aria-label="View more quality call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">quality</a> papers will be invited to submit an extended version of their work for publication in a special issue/section of an international journal.<br><br>IMPORTANT DATES<br><br>Paper Submission: 09 March 2025<br>Acceptance Notification: 23 April 2025<br>Camera-ready Submission: 25 May 2025<br>Author's Registration: 10 June 2025<br>Conference Dates: October 04 -10, 2025<br>Please get in touch if you would like to contribute in more ways; and feel free to circulate this information among your colleagues and PhD students.<br><br>If you need more information, you can email the congress committee:<br>e-mail: cist@ieee-congress.org<br>
	

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## 🏷 Taxonomy &amp; Topics
- **Primary Category**: N/A
- **Research Fields**: 
  - Artificial Intelligence
  - Uncategorized

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## 🧭 Agent Instructions
- **Standard Link**: `https://callforpaper.org/cfp/mnlp-2025-6th-ieee-conference-on-machine-learning-and-natural-language-processing_3152`
- **Markdown Link**: `https://callforpaper.org/cfp/mnlp-2025-6th-ieee-conference-on-machine-learning-and-natural-language-processing_3152.md`
- **PDF Version**: `https://callforpaper.org/cfp/mnlp-2025-6th-ieee-conference-on-machine-learning-and-natural-language-processing_3152.pdf`



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## 🎓 Academic Citations &amp; Bibliographic Records

Use these pre-formatted snippets to cite this Call for Papers in publications or reference managers:

### Plain Text
```text
MNLP 2025 : 6th IEEE Conference on Machine Learning and Natural Language Processing. Morocco, October 04–10, 2025. Available at: https://callforpaper.org/cfp/mnlp-2025-6th-ieee-conference-on-machine-learning-and-natural-language-processing_3152. Accessed: August 5, 2026.
```

### APA Style 7th edition
```text
MNLP 2025 : 6th IEEE Conference on Machine Learning and Natural Language Processing. (2025, October 04–10). Morocco. https://callforpaper.org/cfp/mnlp-2025-6th-ieee-conference-on-machine-learning-and-natural-language-processing_3152
```

### IEEE
```text
&quot;MNLP 2025 : 6th IEEE Conference on Machine Learning and Natural Language Processing,&quot; Morocco, Oct. 04–10, 2025. [Online]. Available: https://callforpaper.org/cfp/mnlp-2025-6th-ieee-conference-on-machine-learning-and-natural-language-processing_3152. [Accessed: August 5, 2026].
```

### BibTeX
```bibtex
@misc{mnlp20252025cfp,
  title     = {MNLP 2025 : 6th IEEE Conference on Machine Learning and Natural Language Processing},
  year      = {2025},
  month     = oct,
  address   = {Morocco},
  url       = {https://callforpaper.org/cfp/mnlp-2025-6th-ieee-conference-on-machine-learning-and-natural-language-processing_3152},
  note      = {Call for Papers. Accessed: 2026-08-05}
}
```

### RIS (Reference Manager, EndNote)
```ris
TY  - CONF
TI  - MNLP 2025 : 6th IEEE Conference on Machine Learning and Natural Language Processing
PY  - 2025
DA  - 2025/10/04
CY  - Morocco
UR  - https://callforpaper.org/cfp/mnlp-2025-6th-ieee-conference-on-machine-learning-and-natural-language-processing_3152
N1  - Call for Papers. Accessed: 2026-08-05
ER  -
```

