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ICNLSP 2023 : 6th International Conference on Natural Language and Speech Processing | |||||||||||||||
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Call For Papers | |||||||||||||||
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**CALLS**
We are delighted to invite you to ICNLSP 2023, the 6th edition of the International Conference on Natural Language and Speech Processing, which will be held virtually from December 16th to 17th, 2023. ICNLSP 2023 offers the opportunity for attendees (researchers, academics and students, and industrials) to share their ideas and to connect to each other and make them up to date on the ongoing researches in the field. ICNLSP 2023 aims to attract contributions related to natural language and speech processing. Authors are invited to present their work relevant to the topics of the conference. The following list includes the topics of ICNLSP 2023 but not limited to: Signal processing, acoustic modeling. Architecture of speech recognition system. Deep learning for speech recognition. Analysis of speech. Paralinguistics in Speech and Language. Pathological speech and language. Speech coding. Speech comprehension. Summarization. Speech Translation. Speech synthesis. Speaker and language identification. Phonetics, phonology and prosody. Cognition and natural language processing. Text categorization. Sentiment analysis and opinion mining. Computational Social Web. Arabic dialects processing. Under-resourced languages: tools and corpora. New language models. Arabic OCR. Lexical semantics and knowledge representation. Requirements engineering and NLP. NLP tools for software requirements and engineering. Knowledge fundamentals. Knowledge management systems. Information extraction. Data mining and information retrieval. Machine translation. NLP for Arabic heritage documents. **IMPORTANT DATES** Submission deadline: 31 August 2023 Notification of acceptance: 31 October 2023 Camera-ready paper due: 20 November 2023 Conference dates: 16, 17 December 2023 **PUBLICATION** 1- All accepted papers will be published in ACL Anthology. 2- Selected papers will be published in Signals and Communication Technology (Springer) (https://www.springer.com/series/4748), indexed by Scopus and zbMATH. **CONTACT** icnlsp(at)gmail(dot)com |
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