[{"id": 617139, "created": "2025-08-08T07:09:37.180552", "project_id": 294, "task_id": 649330, "user_id": 315, "user_ip": null, "finish_time": "2025-08-08T07:10:03.189850", "timeout": null, "calibration": null, "external_uid": null, "media_url": null, "info": {"id": 597, "src": "we introduce significance-based n-gram selection , which not only reduces model size , but also improves perplexity for several smoothing methods , including katz back-off and absolute discounting .", "target": "significance-based n-gram selection not only reduces language model size , but it also improves perplexity when applied to a number of widely-used smoothing methods , including katz backoff and several variants of absolute discounting .", "clarity": "very_clear", "faithfulness": "very_faithful", "plausibility": "highly_plausible", "informativeness": "very_informative"}}, {"id": 626296, "created": "2025-08-18T01:41:52.271151", "project_id": 294, "task_id": 649330, "user_id": 325, "user_ip": null, "finish_time": "2025-08-18T01:42:05.109547", "timeout": null, "calibration": null, "external_uid": null, "media_url": null, "info": {"id": 597, "src": "we introduce significance-based n-gram selection , which not only reduces model size , but also improves perplexity for several smoothing methods , including katz back-off and absolute discounting .", "target": "significance-based n-gram selection not only reduces language model size , but it also improves perplexity when applied to a number of widely-used smoothing methods , including katz backoff and several variants of absolute discounting .", "clarity": "neutral", "faithfulness": "moderately_faithful", "plausibility": "moderately_plausible", "informativeness": "informative"}}]