The 8th International Conference on Natural Language Processing (ICNLP 2026)
| When | Friday, March 20, 2026 - Sunday, March 22, 2026 |
| Where | Xi'an China |
| Location |
About the event
ICNLP 2026 is mainly Co-Sponsored by Xi'an University of Posts and Telecommunications and IEEE, hosted by School of Communications and Information Engineering, Xi'an University of Posts and Telecommunications, and jointly supported by many universities, industries, and academic institutions.
Call for paper
1. Language Analysis and Representation:
Phonetics, Phonology, and Morphology;
Syntax, Semantics, Discourse, Pragmatics, Dialogue, and Lexicon;
Word and Sentence Representation;
Semantic Role Labelling;
2. Language Processing Models and Techniques:
Mathematical, Statistical, Machine Learning, and Deep Learning Models;
Mathematical and Statistical Models;
Machine Learning Models;
Deep Learning Models;
3. Language Resources and Tools:
Language Resources and Corpora;
Electronic Dictionaries, Terminologies, and Ontologies;
Linked Data;
4. Multilingual and Cross-Lingual Processing:
Multilingual NLP;
Machine Translation, Translation Memory Systems, and Computer-Aided Translation Tools;
Text Simplification and Readability Estimation;
5. Information Extraction and Retrieval:
Knowledge Acquisition;
Information Retrieval;
Text Categorization;
6. Sentiment Analysis and Human Interaction::
Opinion Mining and Sentiment Analysis;
Computer-Aided Language Learning;
ICNLP 2026 is mainly Co-Sponsored by Xi'an University of Posts and Telecommunications and IEEE, hosted by School of Communications and Information Engineering, Xi'an University of Posts and Telecommunications, and jointly supported by many universities, industries, and academic institutions.
Call for paper
1. Language Analysis and Representation:
Phonetics, Phonology, and Morphology;
Syntax, Semantics, Discourse, Pragmatics, Dialogue, and Lexicon;
Word and Sentence Representation;
Semantic Role Labelling;
2. Language Processing Models and Techniques:
Mathematical, Statistical, Machine Learning, and Deep Learning Models;
Mathematical and Statistical Models;
Machine Learning Models;
Deep Learning Models;
3. Language Resources and Tools:
Language Resources and Corpora;
Electronic Dictionaries, Terminologies, and Ontologies;
Linked Data;
4. Multilingual and Cross-Lingual Processing:
Multilingual NLP;
Machine Translation, Translation Memory Systems, and Computer-Aided Translation Tools;
Text Simplification and Readability Estimation;
5. Information Extraction and Retrieval:
Knowledge Acquisition;
Information Retrieval;
Text Categorization;
6. Sentiment Analysis and Human Interaction::
Opinion Mining and Sentiment Analysis;
Computer-Aided Language Learning;
Important Dates
- January 30, 2026 - Important Dates



