{"title":"面向noj词典的传感器最小化与信息压缩","authors":"Slim Mesfar, M. Silberztein","doi":"10.3233/978-1-58603-975-2-110","DOIUrl":null,"url":null,"abstract":"In this paper, we describe the use of an incremental construction method of minimal, acyclic, deterministic FST. The approach consists in constructing a transducer in a single step by adding new strings one by one and minimizing the resultant automaton incrementally. Then, we present a new method to encode the morphological information associated with the dictionary entries. The new encoding unifies a large number of word forms' analyses, thus reducing the number of terminal states of the dictionary's FST, that triggers a more efficient minimization process. Finally, we present experimental results on the FST that represents the Arabic dictionary.","PeriodicalId":286427,"journal":{"name":"Finite-State Methods and Natural Language Processing","volume":"25 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Transducer Minimization and Information Compression for NooJ Dictionaries\",\"authors\":\"Slim Mesfar, M. Silberztein\",\"doi\":\"10.3233/978-1-58603-975-2-110\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we describe the use of an incremental construction method of minimal, acyclic, deterministic FST. The approach consists in constructing a transducer in a single step by adding new strings one by one and minimizing the resultant automaton incrementally. Then, we present a new method to encode the morphological information associated with the dictionary entries. The new encoding unifies a large number of word forms' analyses, thus reducing the number of terminal states of the dictionary's FST, that triggers a more efficient minimization process. Finally, we present experimental results on the FST that represents the Arabic dictionary.\",\"PeriodicalId\":286427,\"journal\":{\"name\":\"Finite-State Methods and Natural Language Processing\",\"volume\":\"25 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Finite-State Methods and Natural Language Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3233/978-1-58603-975-2-110\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Finite-State Methods and Natural Language Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/978-1-58603-975-2-110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Transducer Minimization and Information Compression for NooJ Dictionaries
In this paper, we describe the use of an incremental construction method of minimal, acyclic, deterministic FST. The approach consists in constructing a transducer in a single step by adding new strings one by one and minimizing the resultant automaton incrementally. Then, we present a new method to encode the morphological information associated with the dictionary entries. The new encoding unifies a large number of word forms' analyses, thus reducing the number of terminal states of the dictionary's FST, that triggers a more efficient minimization process. Finally, we present experimental results on the FST that represents the Arabic dictionary.