[{"id": 617349, "created": "2025-08-08T08:58:43.964755", "project_id": 294, "task_id": 649471, "user_id": 315, "user_ip": null, "finish_time": "2025-08-08T08:59:14.965411", "timeout": null, "calibration": null, "external_uid": null, "media_url": null, "info": {"id": 2205, "src": "for language model , we train a 5-gram modified kneser-ney language model and use minimum error rate training to tune the smt .", "target": "we use our reordering model for n-best re-ranking and optimize bleu using minimum error rate training .", "clarity": "clear", "faithfulness": "moderately_faithful", "plausibility": "plausible", "informativeness": "informative"}}, {"id": 626492, "created": "2025-08-18T03:20:38.894413", "project_id": 294, "task_id": 649471, "user_id": 325, "user_ip": null, "finish_time": "2025-08-18T03:21:03.770945", "timeout": null, "calibration": null, "external_uid": null, "media_url": null, "info": {"id": 2205, "src": "for language model , we train a 5-gram modified kneser-ney language model and use minimum error rate training to tune the smt .", "target": "we use our reordering model for n-best re-ranking and optimize bleu using minimum error rate training .", "clarity": "neutral", "faithfulness": "moderately_faithful", "plausibility": "moderately_plausible", "informativeness": "moderately_informative"}}]