References

  1. Carl Allen & Timothy M. Hospedales (2019): Analogies Explained: Towards Understanding Word Embeddings. CoRR abs/1901.09813, doi:10.48550/arXiv.1901.09813. ArXiv:1901.09813.
  2. Maya Arad (2003): Locality Constraints on the Interpretation of Roots: The Case of Hebrew Denominal Verbs. Natural Language and Linguistic Theory 21(4), pp. 737–778, doi:10.1023/a:1025533719905.
  3. Mark Aronoff (1976): Word Formation in Generative Grammar. Linguistic Inquiry monographs. MIT press.
  4. Sanjeev Arora, Yuanzhi Li, Yingyu Liang, Tengyu Ma & Andrej Risteski (2016): A Latent Variable Model Approach to PMI-based Word Embeddings. Transactions of the Association for Computational Linguistics 4, pp. 385–399, doi:10.1162/tacl_a_00106. Available at https://aclanthology.org/Q16-1028.
  5. Outi Bat-El (1994): Stem Modification and Cluster Transfer in Modern Hebrew. Natural Language and Linguistic Theory 12(4), pp. 571–596, doi:10.1007/BF00992928. Available at http://www.jstor.org/stable/4047868.
  6. J.D. Bobaljik (2012): Universals in Comparative Morphology: Suppletion, Superlatives, and the Structure of Words. Current Studies in Linguistics. MIT Press, doi:10.7551/mitpress/9069.001.0001.
  7. Piotr Bojanowski, Edouard Grave, Armand Joulin & Tomas Mikolov (2016): Enriching Word Vectors with Subword Information. arXiv preprint arXiv:1607.04606, doi:10.48550/arXiv.1607.04606. Available at https://arxiv.org/abs/1607.04606.
  8. Henry Brice (2016): The root and word distinction: an experimental study of Hebrew denominal verbs. Morphology 27(2), pp. 159–177, doi:10.1007/s11525-016-9297-0.
  9. Noam Chomsky (1970): Remarks on Nominalization. In: R. Jacobs & P. S. Rosenbaum: Reading in English Transformational Grammar. Ginn, Waltham, pp. 184–221.
  10. Noam Chomsky (1973): Conditions on Transformations. In: S. R. Anderson & R. P. V. Kiparsky: A Festschrift for Morris Halle. Holt, Rinehart & Winston, New York, pp. 232–286.
  11. Norman Cliff (1993): Dominance statistics: Ordinal analyses to answer ordinal questions.. Psychological Bulletin 114(3), pp. 494–509, doi:10.1037/0033-2909.114.3.494.
  12. Jacob Devlin, Ming-Wei Chang, Kenton Lee & Kristina Toutanova (2018): BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. CoRR abs/1810.04805, doi:10.48550/arXiv.1810.04805. ArXiv:1810.04805.
  13. David Embick (2010): Localism versus globalism in morphology and phonology. MIT Press, Cambridge, doi:10.7551/mitpress/9780262014229.001.0001.
  14. Kawin Ethayarajh, David Duvenaud & Graeme Hirst (2018): Towards Understanding Linear Word Analogies, doi:10.48550/ARXIV.1810.04882. Available at https://arxiv.org/abs/1810.04882.
  15. Ram Frost, Avital Deutsch & Kenneth I. Forster (2000): Decomposing morphologically complex words in a nonlinear morphology.. Journal of Experimental Psychology: Learning, Memory, and Cognition 26(3), pp. 751–765, doi:10.1037/0278-7393.26.3.751.
  16. Ram Frost, Kenneth I. Forster & Avital Deutsch (1997): What can we learn from the morphology of Hebrew? A masked-priming investigation of morphological representation.. Journal of Experimental Psychology: Learning, Memory, and Cognition 23(4), pp. 829–856, doi:10.1037/0278-7393.23.4.829.
  17. Ram Frost, Tamar Kugler, Avital Deutsch & Kenneth I. Forster (2005): Orthographic Structure Versus Morphological Structure: Principles of Lexical Organization in a Given Language.. Journal of Experimental Psychology: Learning, Memory, and Cognition 31(6), pp. 1293–1326, doi:10.1037/0278-7393.31.6.1293.
  18. Alex Gittens, Dimitris Achlioptas & Michael W. Mahoney (2017): Skip-Gram - Zipf + Uniform = Vector Additivity. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, Vancouver, Canada, pp. 69–76, doi:10.18653/v1/P17-1007. Available at https://aclanthology.org/P17-1007.
  19. Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin & Tomás Mikolov (2018): Learning Word Vectors for 157 Languages. CoRR abs/1802.06893, doi:10.48550/arXiv.1802.06893. ArXiv:1802.06893.
  20. Louis Guttman (1954): Some necessary conditions for common-factor analysis. Psychometrika 19(2), pp. 149–161, doi:10.1007/bf02289162.
  21. Morris Halle & Alec Marantz (1993): Distributed Morphology and the Pieces of Inflection. In: The View from Building 20. MIT Press, Cambridge, MA, pp. 111–176.
  22. Heidi Harley (2014): On the identity of roots. Theoretical Linguistics 40(3-4), pp. 225–276, doi:10.1515/tl-2014-0010.
  23. Sándor G. J. Hervey & Jan W. F. Mulder (1973): Pseudo-Composites and Pseudo-Words: Sufficient and Necessary Criteria for Morphological Analysis. La Linguistique 9(1), pp. 41–70. Available at http://www.jstor.org/stable/30248840.
  24. D. Jurafsky & J.H. Martin (2000): Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. Prentice Hall series in artificial intelligence. Pearson Prentice Hall.
  25. Qi Liu, Matt J. Kusner & Phil Blunsom (2020): A Survey on Contextual Embeddings. CoRR abs/2003.07278, doi:10.48550/arXiv.2003.07278. ArXiv:2003.07278.
  26. Alec Marantz (2000): Roots: the universality of root and pattern morphology. In: conference on Afro-Asiatic languages, University of Paris VII 3, pp. 14.
  27. Tomás Mikolov, Kai Chen, Greg Corrado & Jeffrey Dean (2013): Efficient Estimation of Word Representations in Vector Space. In: Yoshua Bengio & Yann LeCun: 1st International Conference on Learning Representations, ICLR 2013, Scottsdale, Arizona, USA, May 2-4, 2013, Workshop Track Proceedings, doi:10.48550/arXiv.1301.3781. Available at http://arxiv.org/abs/1301.3781.
  28. Sathvik Nair, Mahesh Srinivasan & Stephan C. Meylan (2020): Contextualized Word Embeddings Encode Aspects of Human-Like Word Sense Knowledge. CoRR abs/2010.13057, doi:10.48550/arXiv.2010.13057. ArXiv:2010.13057.
  29. James H Neely (2012): Semantic priming effects in visual word recognition: A selective review of current findings and theories. Basic processes in reading, pp. 272–344.
  30. Karl Pearson (1901): LIII. On lines and planes of closest fit to systems of points in space. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science 2(11), pp. 559–572, doi:10.1080/14786440109462720.
  31. Jeffrey Pennington, Richard Socher & Christopher Manning (2014): GloVe: Global Vectors for Word Representation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, Doha, Qatar, pp. 1532–1543, doi:10.3115/v1/D14-1162. Available at https://aclanthology.org/D14-1162.
  32. Manuel Perea & Eva Rosa (2002): The effects of associative and semantic priming in the lexical decision task. Psychological Research 66(3), pp. 180–194, doi:10.1007/s00426-002-0086-5.
  33. Paul Martin Postal (1969): Anaphoric Islands. In: Chicago Linguistic Society 5, pp. 205–239.
  34. Jean-François Prunet, Renée Béland & Ali Idrissi (2000): The Mental Representation of Semitic Words. Linguistic Inquiry 31(4), pp. 609–648, doi:10.1162/002438900554497. Available at http://www.jstor.org/stable/4179126.
  35. Amit Seker, Elron Bandel, Dan Bareket, Idan Brusilovsky, Refael Shaked Greenfeld & Reut Tsarfaty (2021): AlephBERT: A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With. CoRR abs/2104.04052, doi:10.48550/arXiv.2104.04052. ArXiv:2104.04052.
  36. Yishai Tobin (2004): Hebrew (Semitic). In: Geert Booij, Christian Lehmann, Joachim Mugdan & Stavros Skopeteas: Morphologie/Morphology. de Gruyter, Berlin and New York, pp. 1343–58, doi:10.1515/9783110172782.2.16.1343.
  37. Eran Tomer (2012): Automatic Hebrew Text Vocalization. Ben Gurion University of the Negev.
  38. Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser & Illia Polosukhin (2017): Attention Is All You Need. CoRR abs/1706.03762, doi:10.48550/arXiv.1706.03762. ArXiv:1706.03762.
  39. Hadas Velan & Ram Frost (2007): Cambridge University versus Hebrew University: The impact of letter transposition on reading English and Hebrew. Psychonomic Bulletin & Review 14(5), pp. 913–918, doi:10.3758/bf03194121.
  40. Hadas Velan & Ram Frost (2011): Words with and without internal structure: What determines the nature of orthographic and morphological processing?. Cognition 118(2), pp. 141–156, doi:10.1016/j.cognition.2010.11.013.
Comments and questions to: eptcs@eptcs.org
For website issues: webmaster@eptcs.org