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19–20 October 2024 7th International Conference on Natural Language and Speech Processing

Trento, Italy

Dear Academics and Researchers,

We are delighted to invite you to ICNLSP 2024, the 7th edition of the International Conference on Natural Language and Speech Processing, which will be held at the University of Trento from October 19th to 20th, 2024.

As in the previous versions, ICNLSP 2024 offers the opportunity for attendees (researchers, academics, students, and industry professionals) to share their ideas and to connect with each other and make them up to date on the ongoing research in the field.

We look forward to welcoming you to ICNLSP 2024. If you need any additional information, please e-mail us at: [email protected].

The 7th International Conference on Natural Language and Speech Processing (ICNLSP 2024) aims to attract contributions related to natural language and speech processing, in basic theories and applications as well. Regular and posters sessions will be organized, in addition to keynotes presented by senior international researchers. Authors are invited to present their work relevant to the topics of the conference.

The topics of ICNLSP 2024 include but are not limited to the following:

Signal processing and acoustic modeling.

Speech recognition (architecture, search methods, lexical modeling, language modeling, language model adaptation, multimodal systems, applications in education and learning, zero-resource speech recognition, etc.).

  • Speech analysis.
  • Paralinguistics in speech and language (perception of paralinguistic phenomena, analysis of speaker states and traits, etc.).
  • Spoken dialog systems and conversational analysis.
  • Speech translation.
  • Speech synthesis.
  • Speaker verification and identification.
  • Language identification.
  • Speech coding.
  • Speech enhancement.
  • Speech intelligibility.
  • Speech perception.
  • Speech production.
  • Brain studies on speech.
  • Phonetics, phonology, and prosody.
  • Speech and hearing disorders.
  • Paralinguistics of pathological speech and language.
  • Speech technology for disordered speech/hearing.
  • Cognition and natural language processing.
  • Machine translation. 
  • Text categorization.
  • Summarization.
  • Sentiment analysis and opinion mining.
  • Computational social web.
  • Arabic dialect processing.
  • Under-resourced languages: tools and corpora.
  • Large language models.
  • Arabic OCR.
  • NLP tools for software requirements and engineering.
  • Knowledge fundamentals.
  • Knowledge management systems.
  • Information extraction.
  • Data mining and information retrieval.
  • Lexical semantics and knowledge representation.
  • Requirements engineering and NLP.
  • NLP for Arabic heritage documents.

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