The conference invites submission discussing the employment of statistical models (including machine learning) within language and speech processing. Topics of either theoretical or applied interest include, but are not limited to:

    — Anaphora and coreference resolution
    — Audio event detection
    — Authorship identification, plagiarism, and spam filtering
    — Biases, explainability and interpretability in language and speech processing
    — Corpora and resources for speech and language
    — Data mining, term extraction, and semantic web
    — Dialogue systems and spoken language understanding
    — Information retrieval and information extraction
    — Knowledge representation and ontologies
    — Lexicons and dictionaries
    — Machine translation and computer-aided translation
    — Multimodal technologies
    — Natural language understanding and generation
    — Neural representation of speech and language
    — Opinion mining and sentiment analysis
    — Part-of-speech tagging, parsing, and semantic role labelling
    — Question-answering systems for speech and text
    — Speaker identification and verification
    — Speech recognition and synthesis
    — Spelling correction
    — Text categorization and summarization
    — Text normalization and inverted text normalization
    — Text-to-speech
    — User modeling
    — Wake word detection