您現在的位置:首頁> 外文會議>Annual meeting of the Society for Computation in Linguistics >文獻詳情

Can Entropy Explain Successor Surprisal Effects in Reading?

機器翻譯熵可以解釋閱讀中的后繼驚人效應嗎?

原文傳遞 原文傳遞并翻譯 加入購物車 收藏
2.1 【6hr】

【摘要】Human reading behavior is sensitive to surprisal: more predictable words tend to be read faster. Unexpectedly, this applies not only to the surprisal of the word that is currently being read, but also to the surprisal of upcoming (successor) words that have not been fixated yet. This finding has been interpreted as evidence that readers can extract lexical information parafoveally. Calling this interpretation into question, Angele et al. (2015) showed that successor effects appear even in contexts in which those successor words are not yet visible. They hypothesized that successor surprisal predicts reading time because it approximates the reader's uncertainty about upcoming words. We test this hypothesis on a reading time corpus using an LSTM language model, and find that successor surprisal and entropy are independent predictors of reading time. This independence suggests that entropy alone is unlikely to be the full explanation for successor surprisal effects.

【作者】Marten van Schijndel; Tal Linzen;

【作者單位】Department of Cognitive Science Johns Hopkins University; Department of Cognitive Science Johns Hopkins University;

【年(卷),期】2019,,

【頁碼】1-7

【總頁數】7

【正文語種】eng

【中圖分類】;

【關鍵詞】;


激情球迷怎么玩 彩票合理投资 云南快乐10分 广东11选5杀号软件安卓 体球网即时赔率 北京赛车pk10牛人计划 福建时时彩 福彩3d字谜图谜总汇 湖北11选5走势图一定牛 黑龙江22选5 东北麻将打夹胡技巧 安徽快3历史最大遗漏 奥讯足球指数 福建时时彩软件 时时彩北京pk10计划 10大手机电竞游戏 六合彩开奖历史记录