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Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/150959

Title:	Revisiting the automatic prediction of lexical errors in Mandarin
Authors:	萬依萍 Wan, I-Ping;Allassonnière-Tang, Marc
Contributors:	語言所
Keywords:	speech errors;Mandarin;frequency gap;position-in-utterance;Levenshtein edit distance
Date:	2024-06
Issue Date:	2024-04-29 13:41:08 (UTC+8)
Abstract:	Speech errors provide cues for explaining the process of word retrieval. For example, speech errors are less likely to occur with high-frequency words since these words already receive a high level of activation. The current analysis further develops existing findings in two ways. First, instead of considering the overall frequency of the words in the entire corpora, we consider the gap in frequency between sequential pairs of words. We hypothesize that speech errors are more likely to occur if the target has a much lower frequency than its preceding word. Second, we use word embedding methods to quantify the semantic distance between sequential pairs of words. We hypothesize that speech errors are more likely to occur with words that have a large semantic distance from their preceding context. We also consider the potential effects of phonetic distance between sequential pairs of words and position-in-utterance of words in utterances. The results from a Mandarin corpus of speech errors show that word frequency and semantic distance between sequential pairs of words can be used to predict the occurrence of speech errors with an accuracy above the majority baseline.
Relation:	Linguistics Vanguard,
Data Type:	article
DOI link:	https://doi.org/10.1515/lingvan-2023-0036
DOI:	10.1515/lingvan-2023-0036
Appears in Collections:	[Graduate Institute of Linguistics] Periodical Articles

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