Academic literature on the topic 'Word semantics'
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Journal articles on the topic "Word semantics"
Antoniová, Vesna Kalafus. "An onomasiological approach to nominal compound semantics." Word Structure 13, no. 3 (November 2020): 316–46. http://dx.doi.org/10.3366/word.2020.0174.
Full textKarttunen, Lauri. "Word Play." Computational Linguistics 33, no. 4 (December 2007): 443–67. http://dx.doi.org/10.1162/coli.2007.33.4.443.
Full textRosenberg, Maria. "Semantic structure and meaning within agentive nominal compounds: Evidence from French and Swedish." Word Structure 3, no. 2 (October 2010): 181–204. http://dx.doi.org/10.3366/word.2010.0004.
Full textO. Anokhina, Tetiana, Olena M. Mashkina, Khrystyna B. Melko, Yuliia I. Poznikhirenko, and Natalia O. Teslenko. "Peripheral Semantics of the Word as a Marker of the National Picture of the World." Asian Journal of University Education 17, no. 1 (March 8, 2021): 145. http://dx.doi.org/10.24191/ajue.v17i1.12692.
Full textKoreneva, Yulia V. "Semantic volume of the word Conviction in the Words and Homilies of the Russian saints of the 20th century." RUDN Journal of Language Studies, Semiotics and Semantics 10, no. 3 (December 15, 2019): 665–72. http://dx.doi.org/10.22363/2313-2299-2019-10-3-665-672.
Full textAverina, A. "The Syntactic and Semantiс Properties of Modal Words in German." Philology at MGIMO 7, no. 1 (April 4, 2021): 5–17. http://dx.doi.org/10.24833/2410-2423-2021-1-25-5-14.
Full textBär, Jochen A. "Methoden historischer Semantik am Beispiel Max Webers – Teil 2." Glottotheory 6, no. 1 (January 1, 2015): 1–92. http://dx.doi.org/10.1515/glot-2015-0001.
Full textLapesa, Gabriella, Lea Kawaletz, Ingo Plag, Marios Andreou, Max Kisselew, and Sebastian Padó. "Disambiguation of newly derived nominalizations in context: A Distributional Semantics approach." Word Structure 11, no. 3 (November 2018): 277–312. http://dx.doi.org/10.3366/word.2018.0131.
Full textShajalal, Md, and Masaki Aono. "Semantic textual similarity between sentences using bilingual word semantics." Progress in Artificial Intelligence 8, no. 2 (March 9, 2019): 263–72. http://dx.doi.org/10.1007/s13748-019-00180-4.
Full textRelander, Kristiina, Pia Rämä, and Teija Kujala. "Word Semantics Is Processed Even without Attentional Effort." Journal of Cognitive Neuroscience 21, no. 8 (August 2009): 1511–22. http://dx.doi.org/10.1162/jocn.2009.21127.
Full textDissertations / Theses on the topic "Word semantics"
Dolena, Alexis Lynn. "Uncovering the "slow mapping" process of word learning through word definition and word association tasks." Click here for download, 2006. http://proquest.umi.com/pqdweb?did=1212794661&sid=1&Fmt=2&clientId=3260&RQT=309&VName=PQD.
Full textShebani, Zubaida Soliman. "Semantic word category processing." Thesis, University of Cambridge, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.610751.
Full textLau, Ka-po Natalie, and 劉家寶. "Semantic interference of Chinese words in the picture-word interference task." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B45007597.
Full textGrover, Ishaan. "A semantics based computational model for word learning." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120694.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 73-77).
Studies have shown that children's early literacy skills can impact their ability to achieve academic success, attain higher education and secure employment later in life. However, lack of resources and limited access to educational content causes a "knowledge gap" between children that come from different socio-economic backgrounds. To solve this problem, there has been a recent surge in the development of Intelligent Tutoring Systems (ITS) to provide learning benefits to children. However, before providing new content, an ITS must assess a child's existing knowledge. Several studies have shown that children learn new words by forming semantic relationships with words they already know. Human tutors often implicitly use semantics to assess a tutee's word knowledge from partial and noisy data. In this thesis, I present a cognitively inspired model that uses word semantics (semantics-based model) to make inferences about a child's vocabulary from partial information about their existing vocabulary. Using data from a one-to-one learning intervention between a robotic tutor and 59 children, I show that the proposed semantics-based model outperforms (on average) models that do not use word semantics (semantics-free models). A subject level analysis of results reveals that different models perform well for different children, thus motivating the need to combine predictions. To this end, I present two methods to combine predictions from semantics-based and semantics-free models and show that these methods yield better predictions of a child's vocabulary knowledge. Finally, I present an application of the semantics-based model to evaluate if a learning intervention was successful in teaching children new words while enhancing their semantic understanding. More concretely, I show that a personalized word learning intervention with a robotic tutor is better suited to enhance children's vocabulary when compared to a non-personalized intervention. These results motivate the use of semantics-based models to assess children's knowledge and build ITS that maximize children's semantic understanding of words.
"This research was supported by NSF IIP-1717362 and NSF IIS-1523118"--Page 10.
by Ishaan Grover.
S.M.
Taylor, Maureen Deirdre. "Word grammar and the semantics of compound nouns." Thesis, SOAS, University of London, 1987. http://eprints.soas.ac.uk/28840/.
Full textBurton, Marilyn Elizabeth. "Semantics of glory : a cognitive, corpus-based approach to Hebrew word meaning." Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/9573.
Full textBose, Sougata. "On decision problems on word transducers with origin semantics." Thesis, Bordeaux, 2021. http://www.theses.fr/2021BORD0073.
Full textThe origin semantics for word transducers was introduced by Bojańczyk in 2014 in order to obtain a machine-independent characterization for word-to-word functions defined by transducers. Our primary goal was to study some classical decision problems for transducers in the origin semantics, such as the containment and the equivalence problem. We showed that these problems become decidable in the origin semantics, even though the classical version is undecidable.Motivated by the observation that the origin semantics is more fine-grained than classical semantics, we defined resynchronizers as a way to describe distortions of origins, and to study the above problems in a more relaxed way. We extended the model of rational resynchronizers, introduced by Filiot et al. for one-way transducers, to regular resynchronizers, which work for larger classes of transducers.We studied the two variants of the containment up to resynchronizer problem, which asks if a transducer is contained in another up to a distortion specified by a resynchronizer. We showed that the problem is decidable when the resynchronizer is given as part of the input. When the resynchronizer is not specified in the input, we aimed to synthesize such a resynchronizer, whenever possible. We call this the synthesis problem for resynchronizers and show that it is undecidable in general. We identified some restricted cases when the problem becomes decidable. We also studied the one-way resynchronizability problem, which asks whether a given two-way transducer is resynchronizable in a one-way transducer, and showed that this problem is decidable as well
Forse, Jessica Amy. "The conceptual semantics of word formation : a romance perspective." Thesis, Swansea University, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.678457.
Full textNeff, Kathryn Joan Eggers. "Neural net models of word representation : a connectionist approach to word meaning and lexical relations." Virtual Press, 1991. http://liblink.bsu.edu/uhtbin/catkey/832999.
Full textDepartment of English
Sinha, Ravi Som Mihalcea Rada F. "Graph-based centrality algorithms for unsupervised word sense disambiguation." [Denton, Tex.] : University of North Texas, 2008. http://digital.library.unt.edu/permalink/meta-dc-9736.
Full textBooks on the topic "Word semantics"
Fisiak, Jacek, ed. Historical Semantics - Historical Word-Formation. Berlin, New York: DE GRUYTER MOUTON, 1985. http://dx.doi.org/10.1515/9783110850178.
Full textPapegaaij, Bart C. Word expert semantics: An interlingual knowledge-based approach. Dordrecht: Foris, 1986.
Find full textLipka, Leonhard. An outline of English lexicology: Lexical structure, word semantics, and word-formation. Tübingen: Niemeyer, 1990.
Find full textD, Stephens Laurence, ed. Latin word order: Structured meaning and information. New York: Oxford University Press, 2006.
Find full textInternational Pragmatics Conference (7th 2000 Budapest, Hungary). Pragmatics and the flexibility of word meaning. Amsterdam: Elsevier Science, Ltd., 2001.
Find full textThe semantics of German verb prefixes. Amsterdam: John Benjamins Publishing Company, 2015.
Find full textBook chapters on the topic "Word semantics"
Hobbs, Jerry R. "6. Word meaning and world knowledge." In Semantics - Theories, edited by Claudia Maienborn, Klaus Heusinger, and Paul Portner, 154–80. Berlin, Boston: De Gruyter, 2019. http://dx.doi.org/10.1515/9783110589245-006.
Full textBauer, Laurie, and Salvador Valera. "Sense Inheritance in English Word-Formation." In Semantics of Complex Words, 67–84. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14102-2_5.
Full textSzymanek, Bogdan. "Remarks on Tautology in Word-Formation." In Semantics of Complex Words, 143–61. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14102-2_8.
Full textKortmann, Bernd. "Semantics: Word and sentence meaning." In English Linguistics, 143–71. Stuttgart: J.B. Metzler, 2020. http://dx.doi.org/10.1007/978-3-476-05678-8_6.
Full textten Hacken, Pius. "Transposition and the Limits of Word Formation." In Semantics of Complex Words, 187–216. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14102-2_10.
Full textMacpherson, Melissa. "Redefining the “level” of the “word”." In Lexical Semantics and Knowledge Representation, 155–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/3-540-55801-2_33.
Full textKörtvélyessy, Lívia, Pavol Štekauer, and Július Zimmermann. "Word-Formation Strategies: Semantic Transparency vs. Formal Economy." In Semantics of Complex Words, 85–113. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14102-2_6.
Full textKempen, Gerard, and Karin Harbusch. "Chapter 7. Frequential test of (S)OV as unmarked word order in Dutch and German clauses." In Crossroads Semantics, 107–23. Amsterdam: John Benjamins Publishing Company, 2017. http://dx.doi.org/10.1075/z.210.07kem.
Full textClark, Eve V. "Chapter 2. Word meanings and semantic domains in acquisition." In Semantics in Language Acquisition, 22–43. Amsterdam: John Benjamins Publishing Company, 2018. http://dx.doi.org/10.1075/tilar.24.02cla.
Full textDegemmis, M., P. Lops, and G. Semeraro. "WordNet-Based Word Sense Disambiguation for Learning User Profiles." In Semantics, Web and Mining, 18–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11908678_2.
Full textConference papers on the topic "Word semantics"
Helou, Mamoun Abu, and Matteo Palmonari. "Cross-lingual lexical matching with word translation and local similarity optimization." In SEMANTiCS '15: 11th International Conference on Semantic Systems. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2814864.2814888.
Full textShajalal, Md, and Masaki Aono. "Sentence-Level Semantic Textual Similarity Using Word-Level Semantics." In 2018 10th International Conference on Electrical and Computer Engineering (ICECE). IEEE, 2018. http://dx.doi.org/10.1109/icece.2018.8636779.
Full textGrover, Ishaan, Hae Won Park, and Cynthia Breazeal. "A Semantics-based Model for Predicting Children's Vocabulary." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/188.
Full textYonghe, Chu, Hongfei Lin, Liang Yang, Yufeng Diao, Shaowu Zhang, and Fan Xiaochao. "Refining Word Representations by Manifold Learning." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/749.
Full textMalon, Christopher. "Overcoming Poor Word Embeddings with Word Definitions." In Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics. Stroudsburg, PA, USA: Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.starsem-1.27.
Full textKrishnan, Praveen, and C. V. Jawahar. "Bringing Semantics in Word Image Retrieval." In 2013 12th International Conference on Document Analysis and Recognition (ICDAR). IEEE, 2013. http://dx.doi.org/10.1109/icdar.2013.150.
Full textLe, Tuan M. V., and Hady W. Lauw. "Semantic Visualization for Short Texts with Word Embeddings." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/288.
Full textde Souza, Sydelle, Alina Villalva, and Carina Pinto. "The grammar behind word association tasks." In 11th International Conference of Experimental Linguistics. ExLing Society, 2020. http://dx.doi.org/10.36505/exling-2020/11/0021/000436.
Full textPierrejean, Benedicte, and Ludovic Tanguy. "Predicting Word Embeddings Variability." In Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics. Stroudsburg, PA, USA: Association for Computational Linguistics, 2018. http://dx.doi.org/10.18653/v1/s18-2019.
Full textHarper, M. P., L. H. Jamieson, C. B. Zoltowski, and R. A. Helzerman. "Semantics and constraint parsing of word graphs." In Proceedings of ICASSP '93. IEEE, 1993. http://dx.doi.org/10.1109/icassp.1993.319230.
Full textReports on the topic "Word semantics"
McDowell, Luke K. Preparing Semantic Agents for an Unsuspecting and Unreliable World. Fort Belvoir, VA: Defense Technical Information Center, November 2005. http://dx.doi.org/10.21236/ada480180.
Full textChornodon, Myroslava. FEAUTURES OF GENDER IN MODERN MASS MEDIA. Ivan Franko National University of Lviv, February 2021. http://dx.doi.org/10.30970/vjo.2021.49.11064.
Full textYatsymirska, Mariya. SOCIAL EXPRESSION IN MULTIMEDIA TEXTS. Ivan Franko National University of Lviv, February 2021. http://dx.doi.org/10.30970/vjo.2021.49.11072.
Full textTymoshyk, Mykola. LONDON MAGAZINE «LIBERATION WAY» AND ITS PLACE IN THE HISTORY OF UKRAINIAN JOURNALISM ABROAD. Ivan Franko National University of Lviv, February 2021. http://dx.doi.org/10.30970/vjo.2021.49.11057.
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