{"id":"W4389921680","doi":"10.1093/oxfordhb/9780198852889.013.52","title":"Word Classes in Lexical Functional Grammar","year":2023,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Lexical functional grammar; Linguistics; Part of speech; Computer science; Word (group theory); Grammar; Natural language processing; Lexical item; Lexical grammar; Artificial intelligence; Word formation; Emergent grammar; Generative grammar; Mildly context-sensitive grammar formalism; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006110368,0.000407053,0.0003136428,0.001328081,0.0007386376,0.002776118,0.0004633876,0.0006596857,0.009172296],"category_scores_gemma":[0.001457428,0.0002679558,0.0003458048,0.00138285,0.003282108,0.004636073,0.0009232989,0.001196873,0.001505399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002161254,"about_ca_system_score_gemma":0.0006708503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002444308,"about_ca_topic_score_gemma":0.002361666,"domain_scores_codex":[0.9995601,0.0001752002,0.00002367529,0.00008079242,0.0001249551,0.00003517942],"domain_scores_gemma":[0.9995097,0.0003287815,0.00001664223,0.00005323696,0.0000707084,0.00002095955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002997485,0.000002675146,0.00007394749,0.00003229861,0.000001623481,0.00002104491,0.0002684449,0.0004326637,0.0001773974,0.9749015,0.004499087,0.01958639],"study_design_scores_gemma":[0.000001383139,0.000002126546,0.0001236171,0.00004023957,0.000001787626,0.00003857929,0.000080078,0.001437845,0.0001141668,0.9440159,0.05414093,0.000003377334],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03282029,0.01800795,0.2679758,0.008383221,0.0007351919,0.00007839683,0.0006204998,0.0006640169,0.6707147],"genre_scores_gemma":[0.7663153,0.008727291,0.088861,0.001767743,0.0006442555,0.0001936744,0.001346761,0.0007620638,0.131382],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009172296,"threshold_uncertainty_score":0.03068435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03549870980213048,"score_gpt":0.2253599994287825,"score_spread":0.189861289626652,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}