{"id":"W4388496996","doi":"10.18280/ria.370503","title":"Lexical Based Reordering Models for English to Telugu Machine Translation","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"State of New Jersey Department of Education","keywords":"Telugu; Natural language processing; Computer science; Machine translation; Translation (biology); Artificial intelligence; Linguistics; Biology; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008195985,0.0006434848,0.0004866511,0.0007922869,0.0003796957,0.0006744983,0.0007474708,0.0004558666,0.002803305],"category_scores_gemma":[0.00198614,0.0003076976,0.0008832247,0.0008332212,0.0002384746,0.001094225,0.0003346057,0.0008813147,0.002152813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006174101,"about_ca_system_score_gemma":0.0009265402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008889806,"about_ca_topic_score_gemma":0.01489578,"domain_scores_codex":[0.9994639,0.0002652439,0.00005709226,0.00008697007,0.00009042224,0.00003647568],"domain_scores_gemma":[0.9992112,0.0004345782,0.00008208805,0.0000654169,0.0001911763,0.00001552107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004980192,0.0002411932,0.005063283,0.0003589157,0.0001779146,0.0006235453,0.0004693244,0.6329358,0.02487069,0.01318371,0.006124262,0.3154533],"study_design_scores_gemma":[0.00000851393,0.00006694771,0.0007757732,0.00001128869,0.00001911545,0.00005962061,0.00004450591,0.9914625,0.002451901,0.003674241,0.001413321,0.00001223368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1372203,0.002033082,0.8478221,0.0008521779,0.0001976554,0.0002083676,0.001464515,0.004644171,0.005557679],"genre_scores_gemma":[0.8437655,0.0009223328,0.1417437,0.0001706084,0.00008212826,0.0003097638,0.003260945,0.0005219671,0.009222902],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008889806,"threshold_uncertainty_score":0.01767612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06599171833415778,"score_gpt":0.313901693747489,"score_spread":0.2479099754133312,"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."}}