{"title":"阿拉伯文、英文、法文专业言语单位的自动抽取比较研究","authors":"Nizar Ghazzawi, B. Robichaud, P. Drouin, F. Sadat","doi":"10.1075/TERM.00002.GHA","DOIUrl":null,"url":null,"abstract":"This paper presents a methodology for the automatic extraction of specialized Arabic, English and French verbs of the field of computing. Since nominal terms are predominant in terminology, our interest is to explore to what extent verbs can also be part of a terminological analysis. Hence, our objective is to verify how an existing extraction tool will perform when it comes to specialized verbs in a given specialized domain. Furthermore, we want to investigate any particularities that a language can represent regarding verbal terms from the automatic extraction perspective. Our choice to operate on three different languages reflects our desire to see whether the chosen tool can perform better on one language compared to the others. Moreover, given that Arabic is a morphologically rich and complex language, we consider investigating the results yielded by the extraction tool. The extractor used for our experiment is TermoStat ( Drouin 2003 ). So far, our results show that the extraction of verbs of computing represents certain differences in terms of quality and particularities of these units in this specialized domain between the languages under question.","PeriodicalId":44429,"journal":{"name":"Terminology","volume":"23 1","pages":"207-237"},"PeriodicalIF":0.9000,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1075/TERM.00002.GHA","citationCount":"2","resultStr":"{\"title\":\"Automatic extraction of specialized verbal units: A comparative study on Arabic, English and French\",\"authors\":\"Nizar Ghazzawi, B. Robichaud, P. Drouin, F. Sadat\",\"doi\":\"10.1075/TERM.00002.GHA\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a methodology for the automatic extraction of specialized Arabic, English and French verbs of the field of computing. Since nominal terms are predominant in terminology, our interest is to explore to what extent verbs can also be part of a terminological analysis. Hence, our objective is to verify how an existing extraction tool will perform when it comes to specialized verbs in a given specialized domain. Furthermore, we want to investigate any particularities that a language can represent regarding verbal terms from the automatic extraction perspective. Our choice to operate on three different languages reflects our desire to see whether the chosen tool can perform better on one language compared to the others. Moreover, given that Arabic is a morphologically rich and complex language, we consider investigating the results yielded by the extraction tool. The extractor used for our experiment is TermoStat ( Drouin 2003 ). So far, our results show that the extraction of verbs of computing represents certain differences in terms of quality and particularities of these units in this specialized domain between the languages under question.\",\"PeriodicalId\":44429,\"journal\":{\"name\":\"Terminology\",\"volume\":\"23 1\",\"pages\":\"207-237\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2017-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1075/TERM.00002.GHA\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Terminology\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://doi.org/10.1075/TERM.00002.GHA\",\"RegionNum\":4,\"RegionCategory\":\"文学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"LANGUAGE & LINGUISTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Terminology","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1075/TERM.00002.GHA","RegionNum":4,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"LANGUAGE & LINGUISTICS","Score":null,"Total":0}
Automatic extraction of specialized verbal units: A comparative study on Arabic, English and French
This paper presents a methodology for the automatic extraction of specialized Arabic, English and French verbs of the field of computing. Since nominal terms are predominant in terminology, our interest is to explore to what extent verbs can also be part of a terminological analysis. Hence, our objective is to verify how an existing extraction tool will perform when it comes to specialized verbs in a given specialized domain. Furthermore, we want to investigate any particularities that a language can represent regarding verbal terms from the automatic extraction perspective. Our choice to operate on three different languages reflects our desire to see whether the chosen tool can perform better on one language compared to the others. Moreover, given that Arabic is a morphologically rich and complex language, we consider investigating the results yielded by the extraction tool. The extractor used for our experiment is TermoStat ( Drouin 2003 ). So far, our results show that the extraction of verbs of computing represents certain differences in terms of quality and particularities of these units in this specialized domain between the languages under question.
期刊介绍:
Terminology is an independent journal with a cross-cultural and cross-disciplinary scope. It focusses on the discussion of (systematic) solutions not only of language problems encountered in translation, but also, for example, of (monolingual) problems of ambiguity, reference and developments in multidisciplinary communication. Particular attention will be given to new and developing subject areas such as knowledge representation and transfer, information technology tools, expert systems and terminological databases. Terminology encompasses terminology both in general (theory and practice) and in specialized fields (LSP), such as physics.