What determines the order of adjectives in English? Comparing efficiency-based theories using dependency treebanks
What it is about
The paper asks what fixes the order of prenominal adjectives in English, as in "big blue box". It implements four efficiency-based predictors: subjectivity, from crowd ratings of 398 adjectives; information locality; integration cost; and a new predictor, information gain. Each predictor scores an adjective pair, and the test is accuracy in predicting the order of held-out AAN triples, estimated from an automatically parsed Common Crawl subsection with a 155-triple test set from the English Web Treebank. The predictors are comparable in accuracy. With word forms, subjectivity and PMI do best; with word clusters, subjectivity is best and information gain close behind. A logistic model shows two broad factors: a semantic one (subjectivity or cluster-based information gain) and a word-form one (PMI).
Ideas
- I1. Adjective order in
en/src/lin.rs: order prenominal adjectives by a subjectivity score from Mova's own lexicon rating (not the paper's crowd data), and measure accuracy on the 155 EWT AAN triples (test only) against the current rule inlin.rs. - I2. A PMI feature from Mova's own silver corpus (amod counts from
corpus/), added to the adjective class inworld; measure accuracy with cv on train. Common Crawl stays out, for size and licence. - I3. Two-factor check: fit the paper's two-predictor logistic model on our own AAN triples and report whether the order chosen by
lin.rsfits it; the answer decides whether a fixed rule or a learned scorer is the next step.
For Mova
The order generator is en/src/lin.rs, the lexicon and class of adjectives is in world, and the corpus counts are in corpus/. The chapters are 10. Word classes for adjectives and 22. Phrases: noun, adjective, adverb and prepositional phrases for the noun phrase. Measure first the accuracy of the current lin.rs rule on the 155 EWT AAN triples.
Cite
@inproceedings{futrell2020what,
title = {{What determines the order of adjectives in English? Comparing efficiency-based theories using dependency treebanks}},
author = {Futrell, Richard and Dyer, William and Scontras, Greg},
booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
year = {2020},
doi = {10.18653/v1/2020.acl-main.181},
url = {https://doi.org/10.18653/v1/2020.acl-main.181}
}References
- Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, and Michael Collins. 2016. Globally normalized transition-based neural networks. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2442–2452, Berlin, Germany. Association for Computational Linguistics. find
- R. Harald Baayen, Richard Piepenbrock, and Leon Gulikers. 1995. The CELEX Lexical Database. Release 2 (CD-ROM). Linguistic Data Consortium, University of Pennsylvania. find
- Galia Bar-Sever, Rachael Lee, Gregory Scontras, and Lisa S. Pearl. 2018. Little lexical learners: Quantitatively assessing the development of adjective ordering preferences. In 42nd annual Boston University Conference on Language Development, pages 58– 71. find
- Christian Bentz, Dimitrios Alikaniotis, Michael Cysouw, and Ramon Ferrer-i-Cancho. 2017. The entropy of words—Learnability and expressivity across more than 1000 languages. Entropy, 19:275– 307. find
- Joan Bresnan, Anna Cueni, Tatiana Nikitina, and Harald Baayen. 2007. Predicting the dative alternation. In Cognitive Foundations of Interpration, pages 69– 94. Royal Netherlands Academy of Science, Amsterdam. find
- Christian Buck, Kenneth Heafield, and Bas Van Ooyen. 2014. N-gram counts and language models from the common crawl. In LREC, volume 2, page 4. Citeseer. find
- Xinying Chen and Ramon Ferrer-i-Cancho, editors. 2019. Proceedings of the First Workshop on Quantitative Syntax (Quasy, SyntaxFest 2019). Association for Computational Linguistics, Paris, France. find
- Kenneth Ward Church and Patrick Hanks. 1990. Word association norms, mutual information, and lexicography. Computational Linguistics, 16(1):22–29. find
- Guglielmo Cinque. 1994. On the evidence for partial N-movement in the Romance DP. In R S Kayne, G Cinque, J Koster, J.-Y. Pollock, Luigi Rizzi, and R Zanuttini, editors, Paths Towards Universal Grammar. Studies in Honor of Richard S. Kayne, pages 85–110. Georgetown University Press, Washington DC. find
- Thomas M. Cover and J. A. Thomas. 2006. Elements of Information Theory. John Wiley & Sons, Hoboken, NJ. find
- J. H. Danks and S. Glucksberg. 1971. Psychological scaling of adjective orders. Journal of Verbal Learning and Verbal Behavior, 10(1):63–67. find
- Robert M. W. Dixon. 1982. Where have all the adjectives gone? And other essays in semantics and syntax. Mouton, Berlin, Germany. find
- Melody Dye, Petar Milin, Richard Futrell, and Michael Ramscar. 2018. Alternative solutions to a language design problem: The role of adjectives and gender marking in efficient communication. Topics in cognitive science, 10(1):209–224. find
- William Dyer. 2018. Integration complexity and the order of cosisters. In Proceedings of the Second Workshop on Universal Dependencies (UDW 2018), pages 55–65, Brussels, Belgium. Association for Computational Linguistics. find
- William E. Dyer. 2017. Minimizing integration cost: A general theory of constituent order. Ph.D. thesis, University of California, Davis, Davis, CA. find
- Robert M. Fano. 1961. Transmission of Information: A Statistical Theory of Communication. MIT Press, Cambridge, MA. find
- Michael Franke, Gregory Scontras, and Mihael Simonič. 2019. Subjectivity-based adjective ordering maximizes communicative success. In Proceedings of the 41st Annual Meeting of the Cognitive Science Society, pages 344–350. find
- Richard Futrell. 2019. Information-theoretic locality properties of natural language. In Proceedings of the First International Conference on Quantitative Syntax, pages 2–15, Paris. find
- Richard Futrell and Roger Levy. 2017. Noisy-context surprisal as a human sentence processing cost model. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 688–698, Valencia, Spain. find
- Richard Futrell, Roger Levy, and Edward Gibson. 2017. Generalizing dependency distance: Comment on “dependency distance: A new perspective on syntactic patterns in natural languages” by haitao liu et al. Physics of Life Reviews, 21:197–199. find
- Richard Futrell, Peng Qian, Edward Gibson, Evelina Fedorenko, and Idan Blank. 2019. Syntactic dependencies correspond to word pairs with high mutual information. In Proceedings of the Fifth International Conference on Dependency Linguistics (DepLing 2019), Paris. find
- Michael Hahn, Judith Degen, Noah Goodman, Daniel Jurafsky, and Richard Futrell. 2018. An information-theoretic explanation of adjective ordering preferences. In Proceedings of the 40th Annual Meeting of the Cognitive Science Society (CogSci). find
- John Hale. 2006. Uncertainty about the rest of the sentence. Cognitive science, 30(4):643–672. find
- John T. Hale. 2001. A probabilistic Earley parser as a psycholinguistic model. In Proceedings of the Second Meeting of the North American Chapter of the Association for Computational Linguistics and Language Technologies, pages 1–8. find
- John T. Hale. 2016. Information-theoretical complexity metrics. Language and Linguistics Compass, 10(9):397–412. find
- R. Hetzron. 1978. On the relative order of adjectives. In H. Seller, editor, Language Universals. Narr, Tübingen, Germany. find
- Roger Levy. 2008. Expectation-based syntactic comprehension. Cognition, 106(3):1126–1177. find
- Haitao Liu, Chunshan Xu, and Junying Liang. 2017. Dependency distance: A new perspective on syntactic patterns in natural languages. Physics of Life Reviews, 21:171–193. ↗
- Robert Malouf. 2000. The order of prenominal adjectives in natural language generation. In Proceedings of the 38th Annual Meeting on Association for Computational Linguistics, ACL ’00, pages 85–92, Stroudsburg, PA, USA. Association for Computational Linguistics. find
- Gregory Scontras, Judith Degen, and Noah D. Goodman. 2019. On the grammatical source of adjective ordering preferences. Semantics and Pragmatics. find
- G.-J. Scott. 2002. Stacked adjectival modification and the structure of nominal phrases. In G Cinque, editor, The cartography of syntactic structures, Volume 1: Functional structure in the DP and IP, pages 91– 120. Oxford University Press, Oxford. find
- Natalia Silveira, Timothy Dozat, Marie-Catherine de Marneffe, Samuel Bowman, Miriam Connor, John Bauer, and Christopher D. Manning. 2014. A gold standard dependency corpus for English. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC-2014). find
- Mihael Simonič. 2018. Functional explanation of adjective ordering preferences using probabilistic programming. Master’s thesis, University of Tübingen. find
- Nathaniel J. Smith and Roger Levy. 2013. The effect of word predictability on reading time is logarithmic. Cognition, 128(3):302–319. find
- Christopher D. Manning. 2003. Probabilistic syntax. In Probabilistic Linguistics, pages 289–341. MIT Press. find
- R. Sproat and C. Shih. 1991. The cross-linguistic distribution of adjective ordering restrictions. In C. Georgopoulos and R. Ishihara, editors, Interdisciplinary approaches to language: Essays in honor of S.-Y. Kuroda, pages 565–593. Kluwer Academic, Dordrecht, Netherlands. find
- J E Martin. 1969. Some competence-process relationships in noun phrases with prenominal and postnominal adjectives. Journal of Verbal Learning and Verbal Behavior, 8:471–480. find
- David Temperley and Daniel Gildea. 2018. Minimizing syntactic dependency lengths: Typological/cognitive universal? Annual Review of Linguistics, 4:1–15. find
- Emily Morgan and Roger Levy. 2016. Abstract knowledge versus direct experience in processing of binomial expressions. Cognition, 157:382–402. find
- Stefanie Wulff. 2003. A multifactorial corpus analysis of adjective order in english. International Journal of Corpus Linguistics, 8(2):245–282. find
- Joakim Nivre. 2015. Towards a universal grammar for natural language processing. In Computational Linguistics and Intelligent Text Processing, pages 3–16. Springer. find
- P. Ziff. 1960. Semantic analysis. Cornell University Press, Ithaca, NY. find
- Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014. GloVe: Global vectors for word representation. In Empirical Methods in Natural Language Processing (EMNLP), pages 1532– 1543. find
- J. R. Quinlan. 1986. Induction of decision trees. Machine Learning, 1(1):81–106. find
- Gregory Scontras, Galia Bar-Sever, Zeinab Kachakeche, Cesar Manuel Rosales Jr., and Suttera Samonte. 2020. Incremental semantic restriction and subjectivity-based adjective ordering. In Proceedings of Sinn und Bedeutung 24. find
- Gregory Scontras, Judith Degen, and Noah D. Goodman. 2017. Subjectivity predicts adjective ordering preferences. Open Mind: Discoveries in Cognitive Science, 1(1):53–65. find
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