Pharo中用于代码完成的N-gram模型

Companion Proceedings of the 4th International Conference on Art, Science, and Engineering of Programming Pub Date : 2020-03-23 DOI:10.1145/3397537.3398483

Myroslava Romaniuk

{"title":"Pharo中用于代码完成的N-gram模型","authors":"Myroslava Romaniuk","doi":"10.1145/3397537.3398483","DOIUrl":null,"url":null,"abstract":"In this paper, I present applying statistical language models to improve code completion in Pharo. In particular, the goal is to use n-gram models for sorting the completion candidates and, in such a way, increase the relevancy of the suggested completions.","PeriodicalId":373173,"journal":{"name":"Companion Proceedings of the 4th International Conference on Art, Science, and Engineering of Programming","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"N-gram models for code completion in Pharo\",\"authors\":\"Myroslava Romaniuk\",\"doi\":\"10.1145/3397537.3398483\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, I present applying statistical language models to improve code completion in Pharo. In particular, the goal is to use n-gram models for sorting the completion candidates and, in such a way, increase the relevancy of the suggested completions.\",\"PeriodicalId\":373173,\"journal\":{\"name\":\"Companion Proceedings of the 4th International Conference on Art, Science, and Engineering of Programming\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Companion Proceedings of the 4th International Conference on Art, Science, and Engineering of Programming\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3397537.3398483\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Companion Proceedings of the 4th International Conference on Art, Science, and Engineering of Programming","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3397537.3398483","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

在本文中，我介绍了在Pharo中应用统计语言模型来改进代码完成。特别是，目标是使用n-gram模型对候选补全进行排序，并以这种方式增加建议补全的相关性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

N-gram models for code completion in Pharo

In this paper, I present applying statistical language models to improve code completion in Pharo. In particular, the goal is to use n-gram models for sorting the completion candidates and, in such a way, increase the relevancy of the suggested completions.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Companion Proceedings of the 4th International Conference on Art, Science, and Engineering of Programming

自引率

0.00%

发文量