Pub Date : 2023-08-18DOI: 10.1142/s271755452350011x
Zeqing Zhao, Sifan Ma, Yan Jia, Jingyu Hou, Lin Yang, Junjie Wang
{"title":"Disentangling Content Information by Combining ASR and TTS Bottleneck Features for Voice Conversion","authors":"Zeqing Zhao, Sifan Ma, Yan Jia, Jingyu Hou, Lin Yang, Junjie Wang","doi":"10.1142/s271755452350011x","DOIUrl":"https://doi.org/10.1142/s271755452350011x","url":null,"abstract":"","PeriodicalId":181294,"journal":{"name":"International Journal of Asian Language Processing","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122105124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-08DOI: 10.1142/s2717554521500065
Jiaomei Zhou, Zhiying Liu
Inverse morpheme words are compound words that have the same morphemes but are arranged in the opposite order. The majority of related works on the subject have focused on a narrow investigation of dictionary definitions, with few studies based on large-scale corpora. We used the People’s Daily corpus (1946–2017) to add and delete words from a base list and obtained a word list of 668 pairs of inverse morpheme words. Furthermore, the cosine similarity is computed by using word embedding based on the distributed representation, and the Pearson correlation coefficient between it and the manually annotated value is 0.907, indicating that this method can measure the semantic similarity of inverse morpheme words very close to human judgment. We also discovered that 76% of inverse morpheme words have a cosine similarity of 0.4 or higher and that word formation, part-of-speech, and frequency all have an impact on semantic similarity.
{"title":"Semantic Similarity of Inverse Morpheme Words Based on Word Embedding","authors":"Jiaomei Zhou, Zhiying Liu","doi":"10.1142/s2717554521500065","DOIUrl":"https://doi.org/10.1142/s2717554521500065","url":null,"abstract":"Inverse morpheme words are compound words that have the same morphemes but are arranged in the opposite order. The majority of related works on the subject have focused on a narrow investigation of dictionary definitions, with few studies based on large-scale corpora. We used the People’s Daily corpus (1946–2017) to add and delete words from a base list and obtained a word list of 668 pairs of inverse morpheme words. Furthermore, the cosine similarity is computed by using word embedding based on the distributed representation, and the Pearson correlation coefficient between it and the manually annotated value is 0.907, indicating that this method can measure the semantic similarity of inverse morpheme words very close to human judgment. We also discovered that 76% of inverse morpheme words have a cosine similarity of 0.4 or higher and that word formation, part-of-speech, and frequency all have an impact on semantic similarity.","PeriodicalId":181294,"journal":{"name":"International Journal of Asian Language Processing","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116219759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-01DOI: 10.1142/s2717554520500046
Wei Yang, Xinyu Fu
Native English speakers need more time to recognize capital letters in reading, yet the influence of capitals upon Chinese learners’ reading performance is seldom studied. We conducted an eye tracker experiment to explore the cognitive features of Chinese learners in reading texts containing capital letters. The effect of English proficiency on capital letter reading is also studied. The results showed that capitals significantly increase the cognitive load in Chinese learners’ reading process, complicate their cognitive processing, and lower their reading efficiency. The perception of capital letters of Chinese learners is found to be an isolated event and may influence the word-superiority effect. English majors, who possess relatively stronger English logical thinking capability than non-English majors, face the same difficulty as the non-English majors do if no practice of capital letter reading has been done.
{"title":"Effects of English Capitals on Reading Performance of Chinese Learners: Evidence from Eye Tracking","authors":"Wei Yang, Xinyu Fu","doi":"10.1142/s2717554520500046","DOIUrl":"https://doi.org/10.1142/s2717554520500046","url":null,"abstract":"Native English speakers need more time to recognize capital letters in reading, yet the influence of capitals upon Chinese learners’ reading performance is seldom studied. We conducted an eye tracker experiment to explore the cognitive features of Chinese learners in reading texts containing capital letters. The effect of English proficiency on capital letter reading is also studied. The results showed that capitals significantly increase the cognitive load in Chinese learners’ reading process, complicate their cognitive processing, and lower their reading efficiency. The perception of capital letters of Chinese learners is found to be an isolated event and may influence the word-superiority effect. English majors, who possess relatively stronger English logical thinking capability than non-English majors, face the same difficulty as the non-English majors do if no practice of capital letter reading has been done.","PeriodicalId":181294,"journal":{"name":"International Journal of Asian Language Processing","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121716745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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