Semantics and Pragmatics Analysis

AI assistant for aspect and Aktionsart semantics. Analyze telicity, durativity, stativity, viewpoint aspect, and event structure in cross-linguistic and formal semantic frameworks.

AI assistant for conversational implicature analysis. Apply Gricean maxims, analyze scalar implicatures, distinguish what is said from what is implicated, and examine relevance theory in discourse.

AI assistant for cross-cultural pragmatics consultation. Analyze speech act variation, politeness strategies, face-threatening acts, and communicative norms across languages and cultural contexts.

AI assistant for deixis and indexicality analysis. Examine person, spatial, temporal, and discourse deixis, pure indexicals, context-shifting, and deictic center phenomena across languages.

AI assistant for discourse coherence and reference analysis. Examine coreference chains, anaphora resolution, discourse relations, and topic-comment structures in written and spoken texts.

AI assistant for evidentiality and epistemic modality analysis. Examine how languages encode source of information, degrees of certainty, modal auxiliaries, and epistemic stance in discourse.

AI assistant for formal semantics analysis. Apply truth-conditional semantics, possible worlds, lambda calculus, generalized quantifiers, and model-theoretic interpretation to natural language.

AI assistant for information structure analysis. Examine topic-comment, given-new, focus-background articulation, contrastive focus, and prosody-meaning interfaces in spoken and written discourse.

AI assistant for lexical semantics analysis. Examine word meaning, sense relations, polysemy, semantic fields, and prototype theory across languages and corpora.

AI assistant for conceptual metaphor and metonymy analysis. Apply CMT frameworks, identify source-target domain mappings, analyze embodied meaning, and examine figurative language in discourse.

AI assistant for negation semantics and pragmatics. Analyze descriptive and metalinguistic negation, negative polarity items, scope ambiguity, double negation, and cross-linguistic negation patterns.

AI assistant for politeness and face theory analysis. Apply Brown and Levinson, Leech, and rapport management frameworks to analyze face-threatening acts, mitigation strategies, and relational work in discourse.

AI assistant for pragmatic ambiguity analysis and resolution. Classify structural, lexical, and scope ambiguities, analyze disambiguation mechanisms, and assess ambiguity in legal, clinical, and technical texts.

AI assistant for presupposition and entailment analysis. Examine semantic entailments, pragmatic presuppositions, projection behavior, and accommodation in political, legal, and academic texts.

AI assistant for propositional attitude and belief semantics. Analyze factive and non-factive verb semantics, belief and desire reports, opacity phenomena, and intensional contexts in natural language.

AI assistant for scalar and degree semantics. Analyze gradable adjectives, degree morphology, comparison constructions, vagueness, threshold semantics, and scalar implicature generation in natural language.

AI assistant for semantic change and etymology analysis. Trace word meaning shifts, classify amelioration, pejoration, broadening, narrowing, and metaphorical extension across historical corpora.

AI assistant for semantic prosody and collocation analysis. Examine attitudinal coloring, corpus-based collocation patterns, semantic preference, semantic association, and discourse prosody in texts.

AI assistant for semantic role and frame labeling. Apply FrameNet, PropBank, and VerbNet frameworks to annotate predicate-argument structure, thematic roles, and event semantics in text.

AI assistant for speech act theory analysis. Classify locutionary, illocutionary, and perlocutionary acts, analyze felicity conditions, and apply Austin and Searle frameworks to discourse.