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21
Creativity and television drama: a corpus-based multimodal analysis of pattern-reforming creativity in "House M.D."
In: Corpora. - Edinburgh : Univ. Press 14 (2019) 2, 135-171
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22
Ispolʹzovanie mer semantičeskoj blizosti dlja raspoznavanija koreferencii v russkom jazyke : = Using semantic relatedness measures in coreference resolution for Russian
In: Novosibirskij gosudarstvennyj universitet. Vestnik Novosibirskogo Gosudarstvennogo Universiteta. Serija lingvistika i mežkul'turnaja kommunikacija. - Novosibirsk 17 (2019) 1, 65-77
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23
УКРАЇНСЬКІ ОНОМАСТИЧНІ РЕАЛІЇ У ПОЕТИЧНОМУ ДИСКУРСІ МИКОЛИ ЗЕРОВА ; Ukrainian onomastic realities in poetic discourse by Nicholay Zerov
In: Записки з ономастики; № 21 (2018): Fascicullum XXI ; Opera in onomastica; № 21 (2018) ; 2410-3373 (2019)
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24
Grammatik der Namen im Wandel : diachrone Morphosyntax der Personennamen im Deutschen
Ackermann, Tanja. - Berlin : De Gruyter, 2018
UB Frankfurt Linguistik
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25
Diversité des relations entre néologie et noms propres
In: ISSN: 0007-9871 ; EISSN: 2262-0346 ; Cahiers de Lexicologie ; https://hal.archives-ouvertes.fr/hal-03086035 ; Cahiers de Lexicologie, Centre National de la Recherche Scientifique, 2018, Néologie et noms propres, pp.29-43 ; https://classiques-garnier.com/cahiers-de-lexicologie-2018-2-n-113-neologie-et-noms-propres-diversite-des-relations-entre-neologie-et-noms-propres.html (2018)
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26
Sonstige Namenarten. Stiefkinder der Onomastik
Heuser, Rita (Hrsg.); Schmuck, Mirjam (Hrsg.). - : de Gruyter, 2018
IDS Bibliografie zur deutschen Grammatik
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27
Bootstrapping Method for Automatically Acquiring Instances and Properties in the Web Resources
In: https://hal.archives-ouvertes.fr/hal-01689172 ; 2018 (2018)
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28
Proper names used as modifiers: a comprehensive functional analysis
In: English language and linguistics. - Cambridge : Cambridge Univ. Press 22 (2018) 3, 381-401
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29
Sarkoleaks au Jupiterland ... : Les noms propres au service de la créativité lexicale ...
Vaxelaire, Jean-Louis. - : Classiques Garnier, 2018
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30
Diversité des relations entre néologie et noms propres ...
Sablayrolles, Jean-François. - : Classiques Garnier, 2018
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31
中国文学作品标题法译对专名的处理 Zhongguo wenxue zuopin biaoti fayi dui zhuanming de chuli
In: 东方翻译 Dongfang fanyi = East Journal of Translation, No 1 (2018) pp. 45-53 (2018)
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32
ОСОБЛИВОСТІ ОНОМАСТИКОНУ ТВОРІВ ТІНИ ГАЛЬЯНОВОЇ ; The peculiarities of the functioning of onyms in the tales by T. Galyanova
In: Записки з ономастики; № 20 (2017) ; Opera in onomastica; № 20 (2017) ; 2410-3373 (2018)
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33
Proper names : a Millian account
Predelli, Stefano. - Oxford, United Kingdom : Oxford University Press, 2017
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UB Frankfurt Linguistik
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34
Namengrammatik
IDS Bibliografie zur deutschen Grammatik
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35
Eigennamenkomposita im Deutschen
In: Namengrammatik. - Hamburg : Buske (2017), 59-93
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36
The semantics of nouns and dynamics of discourse: a research itinerary ; Sémantique nominale et dynamique du discours : un parcours de recherche
Lecolle, Michelle. - : HAL CCSD, 2017
In: https://hal.univ-lorraine.fr/tel-01889706 ; Linguistique. Université de Lorraine (Metz), 2017 (2017)
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37
A Method for Proper Noun Extraction in Kurdish
Hassani, Hossein. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2017. : OASIcs - OpenAccess Series in Informatics. 6th Symposium on Languages, Applications and Technologies (SLATE 2017), 2017
Abstract: This paper suggests a method for proper noun identification in Kurdish texts. Kurdish proper nouns are not capitalized and they also assume other part-of-speech roles, which leads to a broad ambiguity that should be addressed in Kurdish proper noun recognition applications. Kurdish is also among less-resourced languages. We developed an application based on an architecture which includes a number of name lists, a set of rules, and a set of processes that recognizes Kurdish person names. This can help the study of Information Retrieval (IR) in Kurdish to advance and can also be used in Kurdish machine translation. We conducted several experiments which showed that the precision of the method is more than 95%, the recall is between 40% to 80%, and the F-measure is close to 60% to more than 80%. The reason for the low recall precision was because our name lists were not exhaustive enough to cover the vast majority of the Kurdish names.
Keyword: Data processing Computer science; Information Extraction; Kurdish; Named Entity Recognition; Natural Language Processing; Proper Noun Recognition
URN: urn:nbn:de:0030-drops-79525
URL: https://doi.org/10.4230/OASIcs.SLATE.2017.19
https://drops.dagstuhl.de/opus/volltexte/2017/7952/
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38
Транслитерация как инструмент расчета переводческой эквивалентности ; Transliteration as a Means of Calculating the Equivalence of Translation
Пырикова, Т. В.; Pyrikova, T. V.. - : Издательство Уральского университета, 2017
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39
The Oxford handbook of names and naming
Hough, Carole (Herausgeber); Izdebska, Daria (Mitwirkender). - Oxford : Oxford University Press, 2016
UB Frankfurt Linguistik
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40
The Oxford handbook of names and naming
Izdebska, Daria (Herausgeber); Smith, Grant W.; Brédart, Serge. - Oxford : Oxford University Press, 2016
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UB Frankfurt Linguistik
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