Sökning: onr:"swepub:oai:gup.ub.gu.se/178257" > Features indicating...
Fältnamn | Indikatorer | Metadata |
---|---|---|
000 | 03104naa a2200421 4500 | |
001 | oai:gup.ub.gu.se/178257 | |
003 | SwePub | |
008 | 240910s2013 | |||||||||||000 ||eng| | |
009 | oai:DiVA.org:liu-93374 | |
024 | 7 | a https://gup.ub.gu.se/publication/1782572 URI |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-933742 URI |
040 | a (SwePub)gud (SwePub)liu | |
041 | a eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a kon2 swepub-publicationtype |
100 | 1 | a Falkenjack, Johan,d 1986-u Linköpings universitet,Interaktiva och kognitiva system,Tekniska högskolan,SICS East Swedish ICT AB4 aut0 (Swepub:liu)johsj47 |
245 | 1 0 | a Features indicating readability in Swedish text |
264 | 1 | a Linköping,c 2013 |
520 | a Studies have shown that modern methods of readability assessment, using automated linguistic analysis and machine learning (ML), is a viable road forward for readability classification and ranking. In this paper we present a study of different levels of analysis and a large number of features and how they affect an ML-system’s accuracy when it comes to readability assessment. We test a large number of features proposed for different languages (mainly English) and evaluate their usefulness for readability assessment for Swedish as well as comparing their performance to that of established metrics. We find that the best performing features are language models based on part-of-speech and dependency type. | |
650 | 7 | a HUMANIORAx Språk och litteratur0 (SwePub)6022 hsv//swe |
650 | 7 | a HUMANITIESx Languages and Literature0 (SwePub)6022 hsv//eng |
650 | 7 | a TEKNIK OCH TEKNOLOGIERx Annan teknik0 (SwePub)2112 hsv//swe |
650 | 7 | a ENGINEERING AND TECHNOLOGYx Other Engineering and Technologies0 (SwePub)2112 hsv//eng |
650 | 7 | a NATURVETENSKAPx Data- och informationsvetenskapx Språkteknologi0 (SwePub)102082 hsv//swe |
650 | 7 | a NATURAL SCIENCESx Computer and Information Sciencesx Language Technology0 (SwePub)102082 hsv//eng |
653 | a Readability assessment | |
653 | a Machine learning | |
653 | a Dependency parsing | |
653 | a Weka | |
700 | 1 | a Heimann Mühlenbock, Katarina,d 1952u Gothenburg University,Göteborgs universitet,Institutionen för svenska språket,Department of Swedish,Göteborgs Universitet,Språkbanken4 aut0 (Swepub:gu)xheika |
700 | 1 | a Jönsson, Arneu Linköpings universitet,Interaktiva och kognitiva system,Tekniska högskolan,SICS East Swedish ICT AB4 aut0 (Swepub:liu)arnjo82 |
710 | 2 | a Linköpings universitetb Interaktiva och kognitiva system4 org |
773 | 0 | t Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013)d Linköpingg :085, s. 27-40q :085<27-40x 1650-3686x 1650-3740z 9789175195896 |
856 | 4 | u http://www.ep.liu.se/ecp/085/ecp13085.pdfy Proceedings |
856 | 4 | u https://liu.diva-portal.org/smash/get/diva2:624380/FULLTEXT01.pdfx primaryx Raw objecty fulltext:postprint |
856 | 4 8 | u https://gup.ub.gu.se/publication/178257 |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-93374 |
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