Matches in ScholarlyData for { ?s ?p ?o. }
- 165 sameAs 165.
- 165 abstract "This paper describes a method of readability measurement of Japanese texts based on a newly compiled textbook corpus. The textbook corpus consists of 1,478 sample passages extracted from 127 textbooks of elementary school, junior high school, high school, and university; it is divided into thirteen grade levels and the total size is about a million characters. For a given text passage, the readability measurement method determines the grade level to which the passage is the most similar by using character-unigram models, which are constructed from the textbook corpus. Because this method does not require sentence-boundary analysis and word-boundary analysis, it is applicable to texts that include incomplete sentences and non-regular text fragments. The performance of this method, which is measured by the correlation coefficient, is considerably high (R > 0.9); in case that the length of a text passage is limited in 25 characters, the correlation coefficient is still high (R = 0.83).".
- 165 hasAuthorList authorList.
- 165 hasTopic Linguistics.
- 165 isPartOf proceedings.
- 165 keyword "Authoring tools, proofing".
- 165 keyword "Corpus (creation, annotation, etc.)".
- 165 keyword "Tools, systems, applications".
- 165 title "Automatic Assessment of Japanese Text Readability Based on a Textbook Corpus".
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- item-1 type ListItem.
- item-1 hasContent satoshi-sato.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent suguru-matsuyoshi.
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- item-3 type ListItem.
- item-3 hasContent yohsuke-kondoh.
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- 166 creator c-lee-giles.
- 166 creator isaac-councill.
- 166 creator min-yen-kan.
- 166 type InProceedings.
- 166 label "ParsCit: an Open-source CRF Reference String Parsing Package".
- 166 sameAs 166.
- 166 abstract "We describe ParsCit, a freely available, open-source implementation of a reference string parsing package. At the core of ParsCit is a trained conditional random field (CRF) model used to label the token sequences in the reference string. A heuristic model wraps this core with added functionality to identify reference strings from a plain text file, and to retrieve the citation contexts. The package comes with utilities to run it as a web service or as a standalone utility. We compare ParsCit on three distinct reference string datasets and show that it compares well with other previously published work.".
- 166 hasAuthorList authorList.
- 166 hasTopic Linguistics.
- 166 isPartOf proceedings.
- 166 keyword "Information Extraction, Information Retrieval".
- 166 keyword "LR web services".
- 166 keyword "Tools, systems, applications".
- 166 title "ParsCit: an Open-source CRF Reference String Parsing Package".
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- item-1 hasContent isaac-councill.
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- item-2 hasContent c-lee-giles.
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- item-3 hasContent min-yen-kan.
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- 168 creator annelies-braffort.
- 168 creator emilie-chetelat-pele.
- 168 type InProceedings.
- 168 label "Sign Language Corpus Annotation: toward a new Methodology".
- 168 sameAs 168.
- 168 abstract "This paper deals with non manual gestures annotation involved in Sign Language within the context of automatic generation of Sign Language. We will tackle linguistic researches in sign language, present descriptions of non manual gestures and problems lead to movement description. Then, we will propose a new annotation methodology, which allows non manual gestures description. This methodology can describe all Non Manual Gestures with precision, economy and simplicity. It is based on four points: Movement description (instead of position description); Movement decomposition (the diagonal movement is described with horizontal movement and vertical movement separately); Element decomposition (we separate higher eyelid and lower eyelid); Use of a set of symbols rather than words. One symbol can describe many phenomena (with use of colours, height...). First analysis results allow us to define precisely the structure of eye blinking and give the very first ideas for the rules to be designed. All the results must be refined and confirmed by extending the study on the whole corpus. In a second step, our annotation will be used to produce analyses in order to define rules and structure definition of Non Manual Gestures that will be evaluate in LIMSI s automatic French Sign Language generation system.".
- 168 hasAuthorList authorList.
- 168 hasTopic Linguistics.
- 168 isPartOf proceedings.
- 168 keyword "Corpus (creation, annotation, etc.)".
- 168 keyword "Multimedia annotation and processing".
- 168 title "Sign Language Corpus Annotation: toward a new Methodology".
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- item-1 hasContent emilie-chetelat-pele.
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- item-2 hasContent annelies-braffort.
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- 169 creator hitomi-tohyama.
- 169 creator kiyotaka-uchimoto.
- 169 creator shigeki-matsubara.
- 169 creator shunsuke-kozawa.
- 169 type InProceedings.
- 169 label "Automatic Acquisition of Usage Information for Language Resources".
- 169 sameAs 169.
- 169 abstract "Recently, language resources (LRs) are becoming indispensable for linguistic research. Unfortunately, it is not easy to find their usages by searching the web even though they must be described in the Internet or academic articles. This indicates that the intrinsic value of LRs is not recognized very well. In this research, therefore, we extract a list of usage information for each LR to promote the efficient utilization of LRs. In this paper, we proposed a method for extracting a list of usage information from academic articles by using rules based on syntactic information. The rules are generated by focusing on the syntactic features that are observed in the sentences describing usage information. As a result of experiments, we achieved 72.9% in recall and 78.4% in precision for the closed test and 60.9% in recall and 72.7% in precision for the open test.".
- 169 hasAuthorList authorList.
- 169 hasTopic Linguistics.
- 169 isPartOf proceedings.
- 169 keyword "Information Extraction, Information Retrieval".
- 169 keyword "Metadata".
- 169 keyword "Text mining".
- 169 title "Automatic Acquisition of Usage Information for Language Resources".
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