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21
Review of CBRN Medical and Operational Terminologies in NATO CBRN Publications
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22
Ανάλυση συναισθήματος σε δεδομένα κοινωνικών δικτύων με τον αλγόριθμο διάδοσης ετικέτας ...
Milakis, Emmanouil. - : National Technological University of Athens, 2016
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23
Ampliación de lexicones de opinión específicos de dominio usando representaciones continuas de palabras ; Expansion of domain-specific opinion lexicons using word embeddings
López Solaz, Tomás; Cruz Mata, Fermín; Enríquez de Salamanca Ros, Fernando. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2016
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24
User mood tracking for opinion analysis on Twitter
Castellucci, G; Croce, D; De Cao, D. - : Springer Verlag, 2016
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25
Sentiment Lexicon Construction Using SentiWordNet 3.0
Whalley, JL; Medagoda, N. - : IEEE, 2015
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26
Improving the performance of an example-based machine translation system using a domain-specific bilingual lexicon
In: 29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015 ; https://hal-cea.archives-ouvertes.fr/cea-01844060 ; 29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015, Oct 2015, Shangai, China. pp.106-115 (2015)
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27
Evaluating the impact of using a domain-specific bilingual lexicon on the performance of a hybrid machine translation approach
In: 10th International Conference on Recent Advances in Natural Language Processing, RANLP 201 ; https://hal-cea.archives-ouvertes.fr/cea-01844051 ; 10th International Conference on Recent Advances in Natural Language Processing, RANLP 201, Sep 2015, Hissar, Bulgaria. pp.579-587 (2015)
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28
Whicht lexicon for which emotions in FFL's classroom ? ; Quel lexique pour quelles émotions en classe de FLE ?
In: ISSN: 0458-7251 ; Le Langage et l'Homme ; https://hal.archives-ouvertes.fr/hal-01375964 ; Le Langage et l'Homme, EME éditions / L'Harmattan, 2015, Affects et acquisition des langues, L.2 (50/2), pp.115-128 ; https://www.intercommunications.be/fr/41_le-langage-et-l-homme (2015)
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29
CRIS Cyber Range Lexicon, Version 1.0
In: DTIC (2015)
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30
Legislative Lexicon ; Research Spotlight
Texas. Legislature. Senate. Research Center.. - : Texas. Legislature. Senate. Research Center., 2015
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31
Sentiment analysis over social networks: an overview
Ahmed, K.; Tazi, N.; Hossny, A.. - : IEEE, 2015
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32
CDP plus plus .Italian: Modelling Sublexical and Supralexical Inconsistency in a Shallow Orthography
In: ISSN: 1932-6203 ; EISSN: 1932-6203 ; PLoS ONE ; https://hal.archives-ouvertes.fr/hal-01432442 ; PLoS ONE, Public Library of Science, 2014, 9 (4), ⟨10.1371/journal.pone.0094291⟩ (2014)
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33
Toward a unifying model for Opinion, Sentiment and Emotion information extraction
In: The 9th International Conference on Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-01613403 ; The 9th International Conference on Language Resources and Evaluation, May 2014, Reykjavik, Iceland. pp.3881-3886 ; http://www.lrec-conf.org/proceedings/lrec2014/index.html (2014)
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34
«Сказание речем недоведомым» в рукописях из собрания РНБ среди лексиконов переходного этапа
КОВАЛЕНКО КИРА ИОСИФОВНА. - : Федеральное государственное бюджетное образовательное учреждение высшего образования «Санкт-Петербургский государственный университет», 2014
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35
CDP++.Italian: Modelling Sublexical and Supralexical Inconsistency in a Shallow Orthography
In: ISSN: 1932-6203 ; EISSN: 1932-6203 ; PLoS ONE ; https://hal.archives-ouvertes.fr/hal-01016354 ; PLoS ONE, Public Library of Science, 2014, 9 (4), pp.e94291. ⟨10.1371/journal.pone.0094291⟩ (2014)
Abstract: International audience ; Most models of reading aloud have been constructed to explain data in relatively complex orthographies like English and French. Here, we created an Italian version of the Connectionist Dual Process Model of Reading Aloud (CDP++) to examine the extent to which the model could predict data in a language which has relatively simple orthography-phonology relationships but is relatively complex at a suprasegmental (word stress) level. We show that the model exhibits good quantitative performance and accounts for key phenomena observed in naming studies, including some apparently contradictory findings. These effects include stress regularity and stress consistency, both of which have been especially important in studies of word recognition and reading aloud in Italian. Overall, the results of the model compare favourably to an alternative connectionist model that can learn non-linear spelling-to-sound mappings. This suggests that CDP++ is currently the leading computational model of reading aloud in Italian, and that its simple linear learning mechanism adequately captures the statistical regularities of the spelling-to-sound mapping both at the segmental and supra-segmental levels.
Keyword: [SCCO.LING]Cognitive science/Linguistics; Italian people; Lexicons; Linguistics; Phonemes; Phonology; Semantics; Syllables; Vowels
URL: https://doi.org/10.1371/journal.pone.0094291
https://hal.archives-ouvertes.fr/hal-01016354/document
https://hal.archives-ouvertes.fr/hal-01016354/file/journal.pone.0094291%281%29.PDF
https://hal.archives-ouvertes.fr/hal-01016354
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36
EngVallex - English Valency Lexicon
Cinková, Silvie; Fučíková, Eva; Šindlerová, Jana. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2014
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37
Dictionnaire kusaal-francais-anglais
Steinborn, Kathy; Niggli, Urs; Steinborn, Mike. - : Société Internationale de Linguistique en collaboration avec l'Association Win Nongete, Zamé; l'Association Nationale pour la Traduction de la Bible et l'Alphabétisation; la Sous-commission kusaal, 2014
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38
Kamus Bonggi ; Bonggi - English - Malay Dictionary ; Kamus Bonggi - Ingeris - Melayu
Boutin, Alanna Y.; Boutin, Michael E.; Kusur Dupok. - : SIL International, 2014
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39
Dictionary of Binubolinao ; Bolinao – English Dictionary
Carolinao, Rhoda; Caasi, Emerita; Persons, Gary C.. - : SIL International, 2014
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40
Building specialized bilingual lexicons using large-scale background knowledge
In: 2013 Conference on Empirical Methods in Natural Language Processing, EMNLP 2013 ; https://hal-cea.archives-ouvertes.fr/cea-01844695 ; 2013 Conference on Empirical Methods in Natural Language Processing, EMNLP 2013, Oct 2013, Seattle, United States. pp.479-489 (2013)
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