Call for papers/Topics

Topics of interest for submission include any topics related to:

Computational Linguistics & Natural Language Processing (NLP)

  • Tokenization & Embeddings: Vectors, semantic spaces, word embeddings, subword tokenization.

  • Syntactic Parsing & Grammar: Part-of-speech tagging, constituency parsing, dependency trees, context-free grammars.

  • Machine Translation & Alignment: Neural machine translation, cross-lingual embeddings, alignment algorithms.

  • Large Language Modeling: Self-attention mechanisms, transformer architectures, contextualized representations, auto-regressive decoding.

Cognitive Science & Neurolinguistics

  • Language Acquisition Models: Statistical learning, child language development, in-silico developmental constraints.

  • Cognitive Architectures & Mental Models: Working memory constraints, mental lexicon, inner speech, conceptual representation.

  • Neural Alignment & Brain Mapping: fMRI and EEG tracking during language comprehension, artificial neural network to brain response alignment.

  • Psycholinguistics: Processing latency, eye-tracking in reading, garden-path sentence parsing, semantic priming.

Sociolinguistics & Digital Humanities

  • Computational Sociolinguistics: Style-shifting, dialect identification, sociolect modeling, sentiment/stance detection across demographic groups.

  • Algorithmic Bias & Diversity: Gender and racial bias in models, accent discrimination, regional dialect underrepresentation.

  • Language Hegemony & Ethics: Digital language endangerment, dominance of high-resource languages (e.g., English), preservation of low-resource and indigenous languages.

  • Online Discourse Analysis: Toxicity detection, echo chambers, automated meme and slang analysis, propaganda/disinformation tracking.

Pragmatics, Semantics & Philosophy of Language

  • Formal & Vector Semantics: Truth-conditional semantics, compositional semantics, distribution-based meaning.

  • Pragmatics & Intentionality: Speech act theory, implicature, conversational maxims, coreference resolution, context window processing.

  • Symbol Grounding Problem: Meaning extraction vs. statistical pattern matching, embodiment, referential integrity.

  • Discourse & Dialogue Systems: Turn-taking mechanics, goal-oriented dialogues, conversation repair, multi-party conversation tracking.

Human-Computer Interaction (HCI) & Applied Communication

  • Voice User Interfaces (VUI): Speech recognition (ASR), text-to-speech (TTS) synthesis, prosody modeling, voice cloning.

  • AI-Mediated Communication (AI-MC): Smart replies, predictive typing, machine-assisted writing, changes in human interpersonal dynamics.

  • Educational Technology & Language Learning: Automated essay scoring, intelligent tutoring systems, computer-assisted language learning (CALL), personalized feedback loops.

  • Translation & Localization Workflows: Computer-assisted translation (CAT) tools, post-editing machine translation, domain-specific terminology management.

Social & Behavioral Dynamics of AI

  • Anthropomorphism & Social Agents: Social presence, parasocial relationships with AI, trust calibration, emotion recognition/simulation.

  • Labor & Economic Sociology: Impact of language automation on translation, copywriting, customer service, and knowledge-work labor markets.

  • Policy & Algorithmic Governance: Content moderation policies, intellectual property rights on linguistic corpora, copyright in generative AI training data.

  • Identity & Agency: Performative language use with AI, alterations in human writing styles, linguistic identity shifting.