Part of
Recent Advances in Multiword Units in Machine Translation and Translation Technology
Edited by Johanna Monti, Gloria Corpas Pastor, Ruslan Mitkov and Carlos Manuel Hidalgo-Ternero
[Current Issues in Linguistic Theory 366] 2024
► pp. 173196
References (30)
References
Barrière, C., & Ménard, P. A. (2014). Multiword noun compound bracketing using Wikipedia. In Proceedings of the First Workshop on Computational Approaches to Compound Analysis (pp. 72–80). ACL. DOI logoGoogle Scholar
Bergsma, S., Pitler, E., & Lin, D. (2010). Creating robust supervised classifiers via Web-scale n-gram data. In Proceedings of the 48th Annual Meeting of the ACL (pp. 865–874). ACL.Google Scholar
Boas, H. C. (2005). Semantic frames as interlingual representations for multilingual lexical databases. International Journal of Lexicography, 18(4), 445–478. DOI logoGoogle Scholar
Buendía-Castro, M., & Faber, P. (2016). Phraseological correspondence in English and Spanish specialized texts. In G. Corpas (Ed.), Computerised and corpus – based approaches to phraseology: Monolingual and multilingual perspectives (pp. 391–398). Tradulex.Google Scholar
Faber, P. (2009). The cognitive shift in terminology and specialized translation. MonTI. Monografías de Traducción e Interpretación [Monographs on Translation and Interpreting], 1, 107–134. DOI logoGoogle Scholar
(Ed.). (2012). A cognitive linguistics view of terminology and specialized language. De Gruyter Mouton. DOI logoGoogle Scholar
Faber, P., & Cabezas – García, M. (2019). Specialized knowledge representation: From terms to frames. Research in Language, 17(2), 197–211. DOI logoGoogle Scholar
Faber, P., & Mairal, R. (1999). Constructing a lexicon of English verbs. Mouton de Gruyter. DOI logoGoogle Scholar
Faber, P., León-Araúz, P., & Prieto, J. A. (2009). Semantic relations, dynamicity, and terminological knowledge bases. Current Issues in Language Studies, 1, 1–23.Google Scholar
Faruqui, M., & Dyer, C. (2015). Non-distributional word vector representations. In Proceedings of the 53rd Annual Meeting of the ACL (pp. 464–469). ACL. DOI logoGoogle Scholar
Fillmore, C. (1968). The case for case. In E. Bach & R. Harms (Eds.), Universals in Linguistic Theory (pp. 1–89). Holt, Rinehart, and Winston.Google Scholar
Gil-Berrozpe J. C, León-Araúz, P., & Faber, P. (2019). Ontological knowledge enhancement in EcoLexicon. In Electronic Lexicography in the 21st Century. Proceedings of the eLex 2019 Conference (pp. 177–197). Lexical Computing.
Girju, R., Moldovan, D. I., Tatu, M., & Antohe, D. (2005). On the semantics of noun compounds. Computer Speech and Language, 19(4), 479–496. DOI logoGoogle Scholar
Green, N. (2011). Effects of noun phrase bracketing in dependency parsing and machine translation. In 49th Annual Meeting of the ACL (pp. 69–74). ACL.Google Scholar
Kim, S. N., & Baldwin, T. (2013). A lexical semantic approach to interpreting and bracketing English noun compounds. Natural Language Engineering, 19(3), 385–407. DOI logoGoogle Scholar
Kroeger, P. R. (2005). Analyzing grammar: An introduction. Cambridge University Press. DOI logoGoogle Scholar
Lauer, M. (1994). Conceptual association for compound noun analysis. In Proceedings of the Student Session at the 32nd Annual Meeting of the Association for Computational Linguistics (pp. 337–339). CoRR. DOI logoGoogle Scholar
(1995). Corpus statistics meet the noun compound: Some empirical results. In Proceedings of the 3rd Annual Meeting of the ACL (pp. 47–54). ACL. DOI logoGoogle Scholar
Lazaridou, A., Vecchi, E. M., & Baroni, M. (2013). Fish transporters and miracle homes: How compositional distributional semantics can help NP parsing. In Proceedings of the 2013 Conference on Empirical Methods in NLP (pp. 1908–1913). ACL.
León-Araúz, P., Cabezas-García, M., & Faber, P. (2021). Multiword-term bracketing and representation in terminological knowledge bases. In Proceedings of the eLex 2021 Conference (pp. 139–163). Lexical Computing CZ.
León-Araúz, P., San Martín, A., & Reimerink, A. (2018). The EcoLexicon English corpus as an open corpus in Sketch Engine. In Proceedings of the 18th EURALEX International Congress (pp. 893–901). Euralex.Google Scholar
Marcus, M. (1980). A theory of syntactic recognition for natural language. MIT Press.Google Scholar
Ménard, P. A., & Barrière, C. (2014). Linked open data and web corpus data for noun compound bracketing. In Proceedings of the 9th International Conference on Language Resources and Evaluation (pp. 702–709). ELRA.
Nakov, P., & Hearst, M. (2005). Search engine statistics beyond the n-gram: Application to noun compound bracketing. In Proceedings of the 9th Conference on Computational Natural Language Learning (pp. 17–24). ACL. DOI logo
Pimentel, J. (2015). Using frame semantics to build a bilingual lexical resource on legal terminology. In H. J. Kockaert & F. Steurs (Eds.), Handbook of Terminology (Vol. 1, pp. 425–450). John Benjamins. DOI logoGoogle Scholar
Pitler, E., Bergsma, S., Lin, D., & Church, K. W. (2010). Using web-scale n-grams to improve base NP parsing performance. In Proceedings of the 23rd International Conference on Computational Linguistics (pp. 886–894). ACL.
Resnik, P. S. (1993). Selection and information: A class-based approach to lexical relationships [Doctoral dissertation, University of Pennsylvania].
Thompson, P., Iqbal, S. A., McNaught, J., & Ananiadou, S. (2009). Construction of an annotated corpus to support biomedical information extraction. BMC Bioinformatics, 10, 349. DOI logoGoogle Scholar
Vadas, D., & Curran, J. R. (2007). Large-scale supervised models for noun phrase bracketing. In Proceedings of the 10th Conference of the Pacific ACL (pp. 104–112). ACL.
(2008). Parsing noun phrase structure with CCG. In Proceedings of the 46th Annual Meeting of the ACL (pp. 335–343). ACL.Google Scholar