{"title":"No More Strings, please","authors":"Kevin Knight","doi":"10.1109/SLT.2006.326779","DOIUrl":null,"url":null,"abstract":"Summary form only given. In natural language research, many (grammar) trees were felled in 1992, to make room for the highly successful string-based HMM industry. A small literature survived on parsing (putting a tree on a string) and syntactic language modeling (putting a weight on a string). However, trees are making a comeback. Tree transformations are turning out to be very useful in large-scale machine translation (MT), and we will cover recent developments in this area. Most of the tree techniques used in MT turn out to be generic, leading to tools and software for manipulating tree automata in general. Tree acceptors and transducers generalize HMM techniques to the world of trees, raising many interesting theoretical and practical problems.","PeriodicalId":74811,"journal":{"name":"SLT ... : ... IEEE Workshop on Spoken Language Technology : proceedings. IEEE Workshop on Spoken Language Technology","volume":"60 1","pages":"2"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SLT ... : ... IEEE Workshop on Spoken Language Technology : proceedings. IEEE Workshop on Spoken Language Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SLT.2006.326779","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

Summary form only given. In natural language research, many (grammar) trees were felled in 1992, to make room for the highly successful string-based HMM industry. A small literature survived on parsing (putting a tree on a string) and syntactic language modeling (putting a weight on a string). However, trees are making a comeback. Tree transformations are turning out to be very useful in large-scale machine translation (MT), and we will cover recent developments in this area. Most of the tree techniques used in MT turn out to be generic, leading to tools and software for manipulating tree automata in general. Tree acceptors and transducers generalize HMM techniques to the world of trees, raising many interesting theoretical and practical problems.
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只提供摘要形式。在自然语言研究方面,1992年许多(语法)树木被砍伐,为非常成功的基于字符串的HMM产业腾出空间。一小部分文献通过解析(在字符串上添加树)和语法语言建模(在字符串上添加权重)幸存下来。然而,树木正在卷土重来。树变换在大规模机器翻译(MT)中非常有用,我们将介绍这一领域的最新发展。机器翻译中使用的大多数树形技术都是通用的,这导致了用于操作树形自动机的工具和软件。树形受体和换能器将HMM技术推广到树形世界,提出了许多有趣的理论和实践问题。
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