{"title":"基于图标的组合语言建模的辅助和替代交流。","authors":"Shiran Dudy, Steven Bedrick","doi":"10.18653/v1/w18-3404","DOIUrl":null,"url":null,"abstract":"<p><p>Icon-based communication systems are widely used in the field of Augmentative and Alternative Communication. Typically, icon-based systems have lagged behind word- and character-based systems in terms of predictive typing functionality, due to the challenges inherent to training icon-based language models. We propose a method for synthesizing training data for use in icon-based language models, and explore two different modeling strategies.</p>","PeriodicalId":74541,"journal":{"name":"Proceedings of the conference. Association for Computational Linguistics. Meeting","volume":"2018 ","pages":"25-32"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8087438/pdf/nihms-1001619.pdf","citationCount":"12","resultStr":"{\"title\":\"Compositional Language Modeling for Icon-Based Augmentative and Alternative Communication.\",\"authors\":\"Shiran Dudy, Steven Bedrick\",\"doi\":\"10.18653/v1/w18-3404\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Icon-based communication systems are widely used in the field of Augmentative and Alternative Communication. Typically, icon-based systems have lagged behind word- and character-based systems in terms of predictive typing functionality, due to the challenges inherent to training icon-based language models. We propose a method for synthesizing training data for use in icon-based language models, and explore two different modeling strategies.</p>\",\"PeriodicalId\":74541,\"journal\":{\"name\":\"Proceedings of the conference. Association for Computational Linguistics. Meeting\",\"volume\":\"2018 \",\"pages\":\"25-32\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8087438/pdf/nihms-1001619.pdf\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the conference. Association for Computational Linguistics. Meeting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18653/v1/w18-3404\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the conference. Association for Computational Linguistics. Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18653/v1/w18-3404","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Compositional Language Modeling for Icon-Based Augmentative and Alternative Communication.
Icon-based communication systems are widely used in the field of Augmentative and Alternative Communication. Typically, icon-based systems have lagged behind word- and character-based systems in terms of predictive typing functionality, due to the challenges inherent to training icon-based language models. We propose a method for synthesizing training data for use in icon-based language models, and explore two different modeling strategies.
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