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Information extraction from bibliography for Marker Assisted Selection in wheat
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In: Metadata and Semantics Research ; MTSR 2014 : 8th Metadata and Semantics ; https://hal.archives-ouvertes.fr/hal-01132767 ; MTSR 2014 : 8th Metadata and Semantics, Nov 2014, Karlsruhe, Germany. pp.301-313, ⟨10.1007/978-3-319-13674-5_28⟩ ; https://archives-publications.inrae.fr/279506 (2014)
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Building Resources for Algerian Arabic Dialects
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In: 15th Annual Conference of the International Communication Association Interspeech ; https://hal.inria.fr/hal-01066989 ; 15th Annual Conference of the International Communication Association Interspeech, ISCA, Sep 2014, Singapour, Singapore (2014)
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Reformatting clinical records based on global layout statistics
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In: International Symposium on Semantic Mining in Biomedicine ; https://hal.archives-ouvertes.fr/hal-01831245 ; International Symposium on Semantic Mining in Biomedicine, Jan 2014, Aveiro, Portugal (2014)
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Project Management in Economic Intelligence: NooJ as Diagnostic Tool for Nanometrology Cluster
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In: Formalising Natural Languages with NooJ 2013: Selected Papers from the NooJ 2013 International Conference ; https://hal.inria.fr/hal-01109149 ; Formalising Natural Languages with NooJ 2013: Selected Papers from the NooJ 2013 International Conference, 1 (1), Cambridge Scholars Publishing (June 1, 2014), 250 (Sahbi Sidhom and Philippe Lambert pp.173-190), 2014, Formalising Natural Languages with NooJ 2013, ISBN-13: 978-1443858243 and ISBN-10: 1443858242 ; Cambridge Scholars Publishing (June 1, 2014) (2014)
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PREDICTING MUSIC GENRE PREFERENCES BASED ON ONLINE COMMENTS
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In: Master's Theses (2014)
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Arabic text root extraction via morphological analysis and linguistic constraints
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Abbod, M; Alsaad, A. - : Institute of Electrical and Electronics Engineers Inc., 2014
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Abstract:
Arabic language is vastly inflected, thus the process of effective Arabic text analysis with correct stem and root extraction is challenging. In this paper we present a linguistic root extraction approach that is composed of two main phases. In the first phase we handle removal of affixes including prefixes, suffixes and infixes. Prefixes and suffixes are removed depending on the length of the word, while checking its morphological pattern after each deduction to remove infixes. In the second phase, the root extraction algorithm is developed further to handle weak, hamzated, eliminated-long-vowel and two-letter geminated words as there is a rationally great amount of irregular Arabic words in texts. Before roots are extracted, they are checked against a predefined list of 3800 triliteral and 900 quad literal roots. Series of experiments has been conducted to improve and test the performance of the proposed algorithm. The obtained results revealed that the roots are extracted correctly has improved comparing with Khoja's stemming algorithm.
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Keyword:
Arabic root extraction; Data mining; Morphological analyser; Natural language processing; Text mining
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URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7046050
https://doi.org/10.1109/UKSim.2014.43
http://bura.brunel.ac.uk/handle/2438/10627
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Interaction history based answer formulation for question answering
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Proceedings of Workshop on Lexical and Grammatical Resources for Language Processing (LG-LP)
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In: https://hal.archives-ouvertes.fr/hal-01999889 ; Takuya Nakamura. Aug 2014, Dublin, Ireland. Association for Computational Linguistics, 2014, 978-1-873769-44-7. ⟨10.3115/v1/W14-58⟩ ; https://www.aclweb.org/ (2014)
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АВТОМАТИЗИРОВАННЫЙ КОНТЕНТ-АНАЛИЗ МНЕНИЙ ТРЕХ ПРЕДМЕТНЫХ ОБЛАСТЕЙ
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МЕТОДЫ АНАЛИЗА ДИАЛОГОВ, ОСНОВАННЫЕ НА ТЕОРИИ РЕЧЕВЫХ ДЕЙСТВИЙ
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Code mixing: a challenge for language identification in the language of social media
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In: Barman, Utsab, Das, Amitava orcid:0000-0003-3418-463X , Wagner, Joachim orcid:0000-0002-8290-3849 and Foster, Jennifer orcid:0000-0002-7789-4853 (2014) Code mixing: a challenge for language identification in the language of social media. In: First Workshop on Computational Approaches to Code Switching, 25 Oct 2014, Doha, Qatar. (2014)
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ОСОБЕННОСТИ ПАРАМЕТРИЧЕСКОЙ ЛЕКСИКИ ПРИ КОНТЕНТ-АНАЛИЗЕ МНЕНИЙ
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ImageSpirit: Verbal guided image parsing
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In: http://vecg.cs.ucl.ac.uk/Projects/SmartGeometry/image_spirit/paper_docs/imageSpirit_tog_14.pdf (2014)
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A language-independent and fully unsupervised approach to lexicon induction and part-of-speech tagging for closely related languages
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In: Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-01022298 ; Language Resources and Evaluation Conference, European Language Resources Association, May 2014, Reykjavik, Iceland (2014)
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