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night5_json/w42_typology_binding.json
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| 1 |
+
{
|
| 2 |
+
"experiment": "W42 wider-typology no-binding (C3 cross-construction agent/patient binding in typologically diverse case-marking langs jpn/hin/tur/rus/arb)",
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| 3 |
+
"shared_operators": "eng-fit R_pos (prepool rotation) + R_role (tae_comp_W_order polar); ridge-E REFIT per language on SONAR-translated native sentences",
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| 4 |
+
"config": {
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| 5 |
+
"langs": "jpn_Jpan,hin_Deva,tur_Latn,rus_Cyrl,arb_Arab",
|
| 6 |
+
"device": "cuda",
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| 7 |
+
"n_ridge_src": 1400,
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| 8 |
+
"ridge_trans_max_seq_len": 48,
|
| 9 |
+
"n_role_pairs": 48,
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| 10 |
+
"min_tok": 4,
|
| 11 |
+
"max_pos": 64,
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| 12 |
+
"seed": 0,
|
| 13 |
+
"out": "/root/w42_typology_binding.json"
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| 14 |
+
},
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| 15 |
+
"prereg": {
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| 16 |
+
"prediction": "no-binding holds typologically: z reads SURFACE POSITION not thematic role even in case-marked langs (cross-construction role AUC ~chance, surface first-mention transfers). EXCEPT possibly where the case PARTICLE is a readable token (jpn が/を, hin ने/को): any role signal is a LEXICAL case-marker readout (z_bag reads it; collapses on particle neutralization), NOT abstract role.",
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| 17 |
+
"falsified_if": "z robustly binds thematic role cross-order in a case-marked language (cross-construction role AUC > .7 invariant to scrambling) WITHOUT it being the case-particle token (z_bag at chance AND survives neutralization) => real abstract thematic binding exists in some languages."
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| 18 |
+
},
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| 19 |
+
"per_language": {
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| 20 |
+
"jpn_Jpan": {
|
| 21 |
+
"lang": "jpn_Jpan",
|
| 22 |
+
"ridge_E_ids": 5735,
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| 23 |
+
"n_native_ridge_sents": 1400,
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| 24 |
+
"native_sent_examples": [
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| 25 |
+
"分類を決定する重要な要因を理解することで 雇用者は 誤った分類のリスクを最小限に抑え 労働法の遵守を保証することができます",
|
| 26 |
+
"従業員または独立した契約者として分類されるかどうかは,労働者,雇用者,そしてより広範な経済にとって重要な影響があります.",
|
| 27 |
+
"分類に注意深く注意深く取り組むことで 雇用者は誤った分類の罠を回避し 従業員とのより強い より持続可能な関係を築くことができます"
|
| 28 |
+
],
|
| 29 |
+
"binding_marked": {
|
| 30 |
+
"n_rows": 192,
|
| 31 |
+
"n_pairs": 48,
|
| 32 |
+
"role_auc_within_active": 0.8927,
|
| 33 |
+
"role_auc_within_passive": 0.906,
|
| 34 |
+
"role_auc_pooled_z": 0.7144,
|
| 35 |
+
"role_auc_zbag_negctrl": 0.4992,
|
| 36 |
+
"role_auc_ci_field": 0.688,
|
| 37 |
+
"role_shuffled_null": 0.554,
|
| 38 |
+
"cross_construction_role_auc_mean": 0.0171,
|
| 39 |
+
"cross_construction_role_train_act_test_pas": 0.0126,
|
| 40 |
+
"cross_construction_role_train_pas_test_act": 0.0217,
|
| 41 |
+
"cross_construction_SURFACE_auc_mean": 0.9829,
|
| 42 |
+
"cross_construction_zbag_role_auc_mean": 0.3872,
|
| 43 |
+
"zbag_within_quad_max_dev_mean": 0.0417,
|
| 44 |
+
"example_quad": [
|
| 45 |
+
"裁判官が警備員を警告した。",
|
| 46 |
+
"警備員が裁判官を警告した。",
|
| 47 |
+
"警備員は裁判官に警告された。",
|
| 48 |
+
"裁判官は警備員に警告された。"
|
| 49 |
+
],
|
| 50 |
+
"thematic_generalisation": false,
|
| 51 |
+
"surface_positional": true,
|
| 52 |
+
"within_construction_binding": true,
|
| 53 |
+
"zbag_particle_leak": false
|
| 54 |
+
},
|
| 55 |
+
"binding_neutralized": {
|
| 56 |
+
"n_rows": 192,
|
| 57 |
+
"n_pairs": 48,
|
| 58 |
+
"role_auc_within_active": 0.8903,
|
| 59 |
+
"role_auc_within_passive": 0.8738,
|
| 60 |
+
"role_auc_pooled_z": 0.5698,
|
| 61 |
+
"role_auc_zbag_negctrl": 0.5009,
|
| 62 |
+
"role_auc_ci_field": 0.5656,
|
| 63 |
+
"role_shuffled_null": 0.5472,
|
| 64 |
+
"cross_construction_role_auc_mean": 0.0009,
|
| 65 |
+
"cross_construction_role_train_act_test_pas": 0.0009,
|
| 66 |
+
"cross_construction_role_train_pas_test_act": 0.0009,
|
| 67 |
+
"cross_construction_SURFACE_auc_mean": 0.9991,
|
| 68 |
+
"cross_construction_zbag_role_auc_mean": 0.4255,
|
| 69 |
+
"zbag_within_quad_max_dev_mean": 0.0203,
|
| 70 |
+
"example_quad": [
|
| 71 |
+
"裁判官警備員警告した。",
|
| 72 |
+
"警備員裁判官警告した。",
|
| 73 |
+
"警備員裁判官警告された。",
|
| 74 |
+
"裁判官警備員警告された。"
|
| 75 |
+
],
|
| 76 |
+
"thematic_generalisation": false,
|
| 77 |
+
"surface_positional": true,
|
| 78 |
+
"within_construction_binding": true,
|
| 79 |
+
"zbag_particle_leak": false
|
| 80 |
+
},
|
| 81 |
+
"case_marker_neutralization": {
|
| 82 |
+
"marked_within_min": 0.8927,
|
| 83 |
+
"neutralized_within_min": 0.8738,
|
| 84 |
+
"within_drop_on_neutralize": 0.0189,
|
| 85 |
+
"marked_xc_role": 0.0171,
|
| 86 |
+
"neutralized_xc_role": 0.0009,
|
| 87 |
+
"xc_drop_on_neutralize": 0.0162,
|
| 88 |
+
"marked_zbag_particle_leak": false,
|
| 89 |
+
"interpretation": "role signal does NOT depend on the particle token (order-only); binding is surface-positional regardless of overt case"
|
| 90 |
+
},
|
| 91 |
+
"verdict": {
|
| 92 |
+
"cross_construction_role_auc": 0.0171,
|
| 93 |
+
"surface_first_mention_transfers": 0.9829,
|
| 94 |
+
"no_binding_holds": true,
|
| 95 |
+
"binds_thematic_abstractly": false,
|
| 96 |
+
"lexical_case_marker_readout": false,
|
| 97 |
+
"summary": "NO-BINDING (surface-positional; cross-construction role at/below chance)"
|
| 98 |
+
}
|
| 99 |
+
},
|
| 100 |
+
"hin_Deva": {
|
| 101 |
+
"lang": "hin_Deva",
|
| 102 |
+
"ridge_E_ids": 4052,
|
| 103 |
+
"n_native_ridge_sents": 1400,
|
| 104 |
+
"native_sent_examples": [
|
| 105 |
+
"वर्गीकरण को निर्धारित करने वाले प्रमुख कारकों को समझकर, नियोक्ता गलत वर्गीकरण के जोखिमों को कम कर सकते हैं और श्रम कानूनों का अनुपालन सुनिश्चित कर सकते हैं।",
|
| 106 |
+
"क्या एक व्यक्ति को एक कर्मचारी या एक स्वतंत्र ठेकेदार के रूप में वर्गीकृत किया जाता है, इसका श्रमिक, नियोक्ता और व्यापक अर्थव्यवस्था पर महत्वपूर्ण प्रभाव पड़ता है।",
|
| 107 |
+
"वर्गीकरण के साथ सावधानी और विवरण पर ध्यान देने से, नियोक्ता वर्गीकरण के गलतफहमी से बच सकते हैं और अपने कर्मचारियों के साथ मजबूत, अधिक स्थायी संबंध बना सकते हैं।"
|
| 108 |
+
],
|
| 109 |
+
"binding_marked": {
|
| 110 |
+
"n_rows": 192,
|
| 111 |
+
"n_pairs": 48,
|
| 112 |
+
"role_auc_within_active": 0.8699,
|
| 113 |
+
"role_auc_within_passive": 0.858,
|
| 114 |
+
"role_auc_pooled_z": 0.6662,
|
| 115 |
+
"role_auc_zbag_negctrl": 0.5015,
|
| 116 |
+
"role_auc_ci_field": 0.6313,
|
| 117 |
+
"role_shuffled_null": 0.5569,
|
| 118 |
+
"cross_construction_role_auc_mean": 0.165,
|
| 119 |
+
"cross_construction_role_train_act_test_pas": 0.0508,
|
| 120 |
+
"cross_construction_role_train_pas_test_act": 0.2791,
|
| 121 |
+
"cross_construction_SURFACE_auc_mean": 0.9477,
|
| 122 |
+
"cross_construction_zbag_role_auc_mean": 0.5028,
|
| 123 |
+
"zbag_within_quad_max_dev_mean": 0.0291,
|
| 124 |
+
"example_quad": [
|
| 125 |
+
"न्यायाधीश ने रक्षक को चेताया।",
|
| 126 |
+
"रक्षक ने न्यायाधीश को चेताया।",
|
| 127 |
+
"रक्षक को न्यायाधीश द्वारा चेताया गया।",
|
| 128 |
+
"न्यायाधीश को रक्षक द्वारा चेताया गया।"
|
| 129 |
+
],
|
| 130 |
+
"thematic_generalisation": false,
|
| 131 |
+
"surface_positional": true,
|
| 132 |
+
"within_construction_binding": true,
|
| 133 |
+
"zbag_particle_leak": false
|
| 134 |
+
},
|
| 135 |
+
"binding_neutralized": {
|
| 136 |
+
"n_rows": 192,
|
| 137 |
+
"n_pairs": 48,
|
| 138 |
+
"role_auc_within_active": 0.8441,
|
| 139 |
+
"role_auc_within_passive": 0.8096,
|
| 140 |
+
"role_auc_pooled_z": 0.5744,
|
| 141 |
+
"role_auc_zbag_negctrl": 0.4997,
|
| 142 |
+
"role_auc_ci_field": 0.5536,
|
| 143 |
+
"role_shuffled_null": 0.5532,
|
| 144 |
+
"cross_construction_role_auc_mean": 0.0189,
|
| 145 |
+
"cross_construction_role_train_act_test_pas": 0.0252,
|
| 146 |
+
"cross_construction_role_train_pas_test_act": 0.0126,
|
| 147 |
+
"cross_construction_SURFACE_auc_mean": 0.9811,
|
| 148 |
+
"cross_construction_zbag_role_auc_mean": 0.5013,
|
| 149 |
+
"zbag_within_quad_max_dev_mean": 0.0284,
|
| 150 |
+
"example_quad": [
|
| 151 |
+
"न्यायाधीश रक्षक चेताया।",
|
| 152 |
+
"रक्षक न्यायाधीश चेताया।",
|
| 153 |
+
"रक्षक न्यायाधीश चेताया गया।",
|
| 154 |
+
"न्यायाधीश रक्षक चेताया गया।"
|
| 155 |
+
],
|
| 156 |
+
"thematic_generalisation": false,
|
| 157 |
+
"surface_positional": true,
|
| 158 |
+
"within_construction_binding": true,
|
| 159 |
+
"zbag_particle_leak": false
|
| 160 |
+
},
|
| 161 |
+
"case_marker_neutralization": {
|
| 162 |
+
"marked_within_min": 0.858,
|
| 163 |
+
"neutralized_within_min": 0.8096,
|
| 164 |
+
"within_drop_on_neutralize": 0.0484,
|
| 165 |
+
"marked_xc_role": 0.165,
|
| 166 |
+
"neutralized_xc_role": 0.0189,
|
| 167 |
+
"xc_drop_on_neutralize": 0.1461,
|
| 168 |
+
"marked_zbag_particle_leak": false,
|
| 169 |
+
"interpretation": "role signal does NOT depend on the particle token (order-only); binding is surface-positional regardless of overt case"
|
| 170 |
+
},
|
| 171 |
+
"verdict": {
|
| 172 |
+
"cross_construction_role_auc": 0.165,
|
| 173 |
+
"surface_first_mention_transfers": 0.9477,
|
| 174 |
+
"no_binding_holds": true,
|
| 175 |
+
"binds_thematic_abstractly": false,
|
| 176 |
+
"lexical_case_marker_readout": false,
|
| 177 |
+
"summary": "NO-BINDING (surface-positional; cross-construction role at/below chance)"
|
| 178 |
+
}
|
| 179 |
+
},
|
| 180 |
+
"tur_Latn": {
|
| 181 |
+
"lang": "tur_Latn",
|
| 182 |
+
"ridge_E_ids": 5288,
|
| 183 |
+
"n_native_ridge_sents": 1400,
|
| 184 |
+
"native_sent_examples": [
|
| 185 |
+
"Sınıflandırmayı belirleyen kilit faktörleri anlarsanız, işverenler yanlış sınıflandırma riskini en aza indirebilir ve iş kanunlarına uymayı sağlayabilir.",
|
| 186 |
+
"Bir kişinin işçi veya bağımsız sözleşmeli olarak sınıflandırılması, işçi, işveren ve daha geniş bir ekonomi için önemli etkilere sahiptir.",
|
| 187 |
+
"Klasifikasyonu dikkatle ve ayrıntılara dikkatle yaklaşarak, işverenler yanlış sınıflandırmanın tehlikelerinden kaçınabilir ve işçilerle daha güçlü, daha sürdürülebilir ilişkiler kurabilirler."
|
| 188 |
+
],
|
| 189 |
+
"binding_marked": {
|
| 190 |
+
"n_rows": 192,
|
| 191 |
+
"n_pairs": 48,
|
| 192 |
+
"role_auc_within_active": 0.8739,
|
| 193 |
+
"role_auc_within_passive": 0.8818,
|
| 194 |
+
"role_auc_pooled_z": 0.7077,
|
| 195 |
+
"role_auc_zbag_negctrl": 0.5514,
|
| 196 |
+
"role_auc_ci_field": 0.7083,
|
| 197 |
+
"role_shuffled_null": 0.5331,
|
| 198 |
+
"cross_construction_role_auc_mean": 0.0202,
|
| 199 |
+
"cross_construction_role_train_act_test_pas": 0.0334,
|
| 200 |
+
"cross_construction_role_train_pas_test_act": 0.0069,
|
| 201 |
+
"cross_construction_SURFACE_auc_mean": 0.9798,
|
| 202 |
+
"cross_construction_zbag_role_auc_mean": 0.0399,
|
| 203 |
+
"zbag_within_quad_max_dev_mean": 0.0859,
|
| 204 |
+
"example_quad": [
|
| 205 |
+
"Bekçi hâkimi uyardı.",
|
| 206 |
+
"Hâkim bekçiyi uyardı.",
|
| 207 |
+
"Hâkim bekçi tarafından uyarıldı.",
|
| 208 |
+
"Bekçi hâkim tarafından uyarıldı."
|
| 209 |
+
],
|
| 210 |
+
"thematic_generalisation": false,
|
| 211 |
+
"surface_positional": true,
|
| 212 |
+
"within_construction_binding": true,
|
| 213 |
+
"zbag_particle_leak": false
|
| 214 |
+
},
|
| 215 |
+
"verdict": {
|
| 216 |
+
"cross_construction_role_auc": 0.0202,
|
| 217 |
+
"surface_first_mention_transfers": 0.9798,
|
| 218 |
+
"no_binding_holds": true,
|
| 219 |
+
"binds_thematic_abstractly": false,
|
| 220 |
+
"lexical_case_marker_readout": false,
|
| 221 |
+
"summary": "NO-BINDING (surface-positional; cross-construction role at/below chance)"
|
| 222 |
+
}
|
| 223 |
+
},
|
| 224 |
+
"rus_Cyrl": {
|
| 225 |
+
"lang": "rus_Cyrl",
|
| 226 |
+
"ridge_E_ids": 5229,
|
| 227 |
+
"n_native_ridge_sents": 1400,
|
| 228 |
+
"native_sent_examples": [
|
| 229 |
+
"Понимая ключевые факторы, определяющие классификацию, работодатели могут минимизировать риски неправильной классификации и обеспечить соблюдение трудовых законов.",
|
| 230 |
+
"Независимо от того, классифицируется ли человек в качестве работника или независимого подрядчика, это оказывает значительное влияние на работника, работодателя и общую экономику.",
|
| 231 |
+
"При подходе к классификации с осторожностью и вниманием к деталям работодатели могут избежать ловушек неправильной классификации и построить более прочные, более устой"
|
| 232 |
+
],
|
| 233 |
+
"binding_marked": {
|
| 234 |
+
"n_rows": 192,
|
| 235 |
+
"n_pairs": 48,
|
| 236 |
+
"role_auc_within_active": 0.886,
|
| 237 |
+
"role_auc_within_passive": 0.9078,
|
| 238 |
+
"role_auc_pooled_z": 0.7651,
|
| 239 |
+
"role_auc_zbag_negctrl": 0.6616,
|
| 240 |
+
"role_auc_ci_field": 0.7929,
|
| 241 |
+
"role_shuffled_null": 0.4717,
|
| 242 |
+
"cross_construction_role_auc_mean": 0.0314,
|
| 243 |
+
"cross_construction_role_train_act_test_pas": 0.0369,
|
| 244 |
+
"cross_construction_role_train_pas_test_act": 0.026,
|
| 245 |
+
"cross_construction_SURFACE_auc_mean": 0.9686,
|
| 246 |
+
"cross_construction_zbag_role_auc_mean": 0.0243,
|
| 247 |
+
"zbag_within_quad_max_dev_mean": 0.0901,
|
| 248 |
+
"example_quad": [
|
| 249 |
+
"Рабочий обвинил сторожа.",
|
| 250 |
+
"Сторож обвинил рабочего.",
|
| 251 |
+
"Сторож был обвинён рабочим.",
|
| 252 |
+
"Рабочий был обвинён сторожем."
|
| 253 |
+
],
|
| 254 |
+
"thematic_generalisation": false,
|
| 255 |
+
"surface_positional": true,
|
| 256 |
+
"within_construction_binding": true,
|
| 257 |
+
"zbag_particle_leak": true
|
| 258 |
+
},
|
| 259 |
+
"verdict": {
|
| 260 |
+
"cross_construction_role_auc": 0.0314,
|
| 261 |
+
"surface_first_mention_transfers": 0.9686,
|
| 262 |
+
"no_binding_holds": true,
|
| 263 |
+
"binds_thematic_abstractly": false,
|
| 264 |
+
"lexical_case_marker_readout": true,
|
| 265 |
+
"summary": "LEXICAL CASE-MARKER READOUT (within-role rides particle in z_bag; cross-construction surface)"
|
| 266 |
+
}
|
| 267 |
+
},
|
| 268 |
+
"arb_Arab": {
|
| 269 |
+
"lang": "arb_Arab",
|
| 270 |
+
"ridge_E_ids": 2999,
|
| 271 |
+
"n_native_ridge_sents": 1400,
|
| 272 |
+
"native_sent_examples": [
|
| 273 |
+
"من خلال فهم العوامل الرئيسية التي تحدد التصنيف، يمكن لأصحاب العمل تقليل مخاطر التصنيف الخاطئ وضمان الامتثال لقوانين العمل.",
|
| 274 |
+
"إما أن يتم تصنيف الفرد كموظف أو متعاقد مستقل له آثار مهمة على الموظف، والرب، والاقتصاد الأوسع.",
|
| 275 |
+
"من خلال التعامل مع التصنيف بعناية وا��اهتمام بالتفاصيل، يمكن لأصحاب العمل تجنب أخطاء التصنيف الخاطئ وبناء علاقات أقوى وأكثر"
|
| 276 |
+
],
|
| 277 |
+
"binding_marked": {
|
| 278 |
+
"n_rows": 192,
|
| 279 |
+
"n_pairs": 48,
|
| 280 |
+
"role_auc_within_active": 0.6989,
|
| 281 |
+
"role_auc_within_passive": 0.8319,
|
| 282 |
+
"role_auc_pooled_z": 0.6389,
|
| 283 |
+
"role_auc_zbag_negctrl": 0.494,
|
| 284 |
+
"role_auc_ci_field": 0.6371,
|
| 285 |
+
"role_shuffled_null": 0.5052,
|
| 286 |
+
"cross_construction_role_auc_mean": 0.1663,
|
| 287 |
+
"cross_construction_role_train_act_test_pas": 0.112,
|
| 288 |
+
"cross_construction_role_train_pas_test_act": 0.2205,
|
| 289 |
+
"cross_construction_SURFACE_auc_mean": 0.8337,
|
| 290 |
+
"cross_construction_zbag_role_auc_mean": 0.503,
|
| 291 |
+
"zbag_within_quad_max_dev_mean": 0.0674,
|
| 292 |
+
"example_quad": [
|
| 293 |
+
"حذر الحارس القاضي.",
|
| 294 |
+
"حذر القاضي الحارس.",
|
| 295 |
+
"حُذر القاضي من قبل الحارس.",
|
| 296 |
+
"حُذر الحارس من قبل القاضي."
|
| 297 |
+
],
|
| 298 |
+
"thematic_generalisation": false,
|
| 299 |
+
"surface_positional": true,
|
| 300 |
+
"within_construction_binding": true,
|
| 301 |
+
"zbag_particle_leak": false
|
| 302 |
+
},
|
| 303 |
+
"verdict": {
|
| 304 |
+
"cross_construction_role_auc": 0.1663,
|
| 305 |
+
"surface_first_mention_transfers": 0.8337,
|
| 306 |
+
"no_binding_holds": true,
|
| 307 |
+
"binds_thematic_abstractly": false,
|
| 308 |
+
"lexical_case_marker_readout": false,
|
| 309 |
+
"summary": "NO-BINDING (surface-positional; cross-construction role at/below chance)"
|
| 310 |
+
}
|
| 311 |
+
}
|
| 312 |
+
},
|
| 313 |
+
"typology_verdict": {
|
| 314 |
+
"per_language_xc_role_auc": {
|
| 315 |
+
"jpn_Jpan": 0.0171,
|
| 316 |
+
"hin_Deva": 0.165,
|
| 317 |
+
"tur_Latn": 0.0202,
|
| 318 |
+
"rus_Cyrl": 0.0314,
|
| 319 |
+
"arb_Arab": 0.1663
|
| 320 |
+
},
|
| 321 |
+
"per_language_surface_transfer": {
|
| 322 |
+
"jpn_Jpan": 0.9829,
|
| 323 |
+
"hin_Deva": 0.9477,
|
| 324 |
+
"tur_Latn": 0.9798,
|
| 325 |
+
"rus_Cyrl": 0.9686,
|
| 326 |
+
"arb_Arab": 0.8337
|
| 327 |
+
},
|
| 328 |
+
"per_language_summary": {
|
| 329 |
+
"jpn_Jpan": "NO-BINDING (surface-positional; cross-construction role at/below chance)",
|
| 330 |
+
"hin_Deva": "NO-BINDING (surface-positional; cross-construction role at/below chance)",
|
| 331 |
+
"tur_Latn": "NO-BINDING (surface-positional; cross-construction role at/below chance)",
|
| 332 |
+
"rus_Cyrl": "LEXICAL CASE-MARKER READOUT (within-role rides particle in z_bag; cross-construction surface)",
|
| 333 |
+
"arb_Arab": "NO-BINDING (surface-positional; cross-construction role at/below chance)"
|
| 334 |
+
},
|
| 335 |
+
"languages_with_abstract_thematic_binding": [],
|
| 336 |
+
"languages_lexical_case_marker_readout": [
|
| 337 |
+
"rus_Cyrl"
|
| 338 |
+
],
|
| 339 |
+
"languages_no_binding": [
|
| 340 |
+
"jpn_Jpan",
|
| 341 |
+
"hin_Deva",
|
| 342 |
+
"tur_Latn",
|
| 343 |
+
"rus_Cyrl",
|
| 344 |
+
"arb_Arab"
|
| 345 |
+
],
|
| 346 |
+
"no_binding_holds_typologically": true,
|
| 347 |
+
"falsifier_status": "NOT FALSIFIED: no-binding holds typologically (z reads surface position, not thematic role, even in case-marked langs; any marked-case role signal is lexical/within-construction and does not generalise cross-construction)",
|
| 348 |
+
"headline": "Cross-construction agent/patient role AUC across typologically diverse case-marking languages. KEY: Japanese が/を (lexical case particles) — does z read the morphologically-marked role abstractly, or only as a within-construction particle readout? See per_language_summary + case_marker_neutralization."
|
| 349 |
+
}
|
| 350 |
+
}
|