Internetikeele automaatne süntaktiline analüüs kitsenduste grammatikaga

Q2 Arts and Humanities
Dage Särg
{"title":"Internetikeele automaatne süntaktiline analüüs kitsenduste grammatikaga","authors":"Dage Särg","doi":"10.5128/ERYA12.15","DOIUrl":null,"url":null,"abstract":"Artikkel kirjeldab eesti keele kitsenduste grammatika kohandamist internetikeelele. Selleks parsiti 19 809 sone suurune jututubade korpus eesti kirjakeele jaoks valjatootatud reeglistikuga. Korpuse margenduse kasitsi kontrollimisel leitud vigade pohjal tehti reeglistikku muudatusi neljas etapis: osalausepiiride tuvastamine, uhendverbide tuvastamine, pindsuntaktiline analuus ning soltuvussuntaktiline analuus. Too kaigus leiti, et internetikeele suntaksi olulisemateks erijoonteks on laialdane partiklite ja utete kasutus, vaiksem taiendite osakaal, lausete luhidus ja valjajatteliste lausete sage esinemine. Reeglistiku kohandamise tulemusel paranesid nii pind- kui soltuvussuntaktilise analuusi naitajad. Koige enam vigu tekkis subjektide, predikatiivide ja adverbiaalide funktsioonide margendamisel. Soltuvussuntaktilisel analuusil esines enim vigu adverbiaalide soltuvusmargendites. Syntactic analysis of Estonian netspeak using Constraint Grammar The paper provides an overview of an attempt to adapt the Estonian Constraint Grammar rule set for netspeak. The rule set has been developed by Kaili Muurisep and Tiina Puolakainen for shallow and dependency parsing of Estonian literary language, and it has previously been adapted for shallow parsing of spoken Estonian by Kaili Muurisep and Heli Uibo. First, in order to adapt the rules, a chatroom corpus was parsed with the existing rule set. The corpus was manually revised and based on the errors that were found, changes were made to the rule set. The changes regarded detection of clause boundaries and particle verbs, as well as assignment of syntactic tags and dependency relations. Extensive use of discourse particles and direct addresses, short sentence length, and small percentage of attributes among the syntactic functions used in text appeared to be the most distinctive features of netspeak, as well as the large amount of elliptical sentences from which, in addition to other syntactic functions, a predicate can be left out. As a result of adapting the rule set, the results of both shallow and dependency parsing improved. The most error-prone syntactic functions were subjects, predicatives, and adverbials. In dependency parsing, the largest number of errors was made in determining the governors of adverbials.","PeriodicalId":35118,"journal":{"name":"Eesti Rakenduslingvistika Uhingu Aastaraamat","volume":"27 1","pages":"253-267"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eesti Rakenduslingvistika Uhingu Aastaraamat","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5128/ERYA12.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Arts and Humanities","Score":null,"Total":0}
引用次数: 1

Abstract

Artikkel kirjeldab eesti keele kitsenduste grammatika kohandamist internetikeelele. Selleks parsiti 19 809 sone suurune jututubade korpus eesti kirjakeele jaoks valjatootatud reeglistikuga. Korpuse margenduse kasitsi kontrollimisel leitud vigade pohjal tehti reeglistikku muudatusi neljas etapis: osalausepiiride tuvastamine, uhendverbide tuvastamine, pindsuntaktiline analuus ning soltuvussuntaktiline analuus. Too kaigus leiti, et internetikeele suntaksi olulisemateks erijoonteks on laialdane partiklite ja utete kasutus, vaiksem taiendite osakaal, lausete luhidus ja valjajatteliste lausete sage esinemine. Reeglistiku kohandamise tulemusel paranesid nii pind- kui soltuvussuntaktilise analuusi naitajad. Koige enam vigu tekkis subjektide, predikatiivide ja adverbiaalide funktsioonide margendamisel. Soltuvussuntaktilisel analuusil esines enim vigu adverbiaalide soltuvusmargendites. Syntactic analysis of Estonian netspeak using Constraint Grammar The paper provides an overview of an attempt to adapt the Estonian Constraint Grammar rule set for netspeak. The rule set has been developed by Kaili Muurisep and Tiina Puolakainen for shallow and dependency parsing of Estonian literary language, and it has previously been adapted for shallow parsing of spoken Estonian by Kaili Muurisep and Heli Uibo. First, in order to adapt the rules, a chatroom corpus was parsed with the existing rule set. The corpus was manually revised and based on the errors that were found, changes were made to the rule set. The changes regarded detection of clause boundaries and particle verbs, as well as assignment of syntactic tags and dependency relations. Extensive use of discourse particles and direct addresses, short sentence length, and small percentage of attributes among the syntactic functions used in text appeared to be the most distinctive features of netspeak, as well as the large amount of elliptical sentences from which, in addition to other syntactic functions, a predicate can be left out. As a result of adapting the rule set, the results of both shallow and dependency parsing improved. The most error-prone syntactic functions were subjects, predicatives, and adverbials. In dependency parsing, the largest number of errors was made in determining the governors of adverbials.
求助全文
约1分钟内获得全文 求助全文
来源期刊
Eesti Rakenduslingvistika Uhingu Aastaraamat
Eesti Rakenduslingvistika Uhingu Aastaraamat Arts and Humanities-Language and Linguistics
CiteScore
0.90
自引率
0.00%
发文量
19
审稿时长
28 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信