Schulz, K., van Rooij, R. (2006) Pragmatic Meaning and Non-monotonic Reasoning: The Case of Exhaustive Interpretation.

Linguistics and Philosophy, Vol. 29 (pp 205-250)

Article | https://doi.org/10.1007/s10988-005-3760-4 | UvA-DARE

Schulz, K. (2005) A pragmatic solution for the paradox of free choice permission.

Synthese, Vol. 147 (pp 343)

Article | https://doi.org/10.1007/s11229-005-1353-y | UvA-DARE

Schulz, K. (2007) English past and perfect as semantically ambiguous mood marker.

In Aloni, Maria Dekker, Paul (Eds.), Sixteenth Amsterdam Colloquium (pp 27-30). ILLC, University of Amsterdam.

Schulz, K. (2007) Counterfactual conditionals and dynamic laws.

In Aloni, M. Dekker, P. (Eds.), Sixteenth Amsterdam Colloquium (pp 193-198). ILLC, University of Amsterdam.

Schulz, K. (2007) Minimal models in semantics and pragmatics : free choice, exhaustivity, and conditionals.

Institute for Logic, Language and Computation.

Thesis, fully internal | UvA-DARE

Schulz, K. (2008) Non-deictic tenses in conditionals.

Proceedings from Semantics and Linguistic Theory, Vol. 18 (pp 694-710)

Article | https://doi.org/10.3765/salt.v18i0.2498 | UvA-DARE

Schulz, K. (2010) Troubles at the Semantics/Syntax Interface: Some thoughts about the modal approach to conditionals.

In Prinzhorn, M. Schmitt, V. Zobel, S. (Eds.), Proceedings of Sinn und Bedeutung 14 (pp 388-404). University of Vienna, Department of linguistics.

Schulz, K. (2011) "If you'd wiggled A, then B would've changed": Causality and counterfactual conditionals.

Synthese, Vol. 179 (pp 239-251)

Article | https://doi.org/10.1007/s11229-010-9780-9 | UvA-DARE

Schulz, K. (2014) Minimal models vs. logic programming: the case of counterfactual conditionals.

Journal of Applied Non-Classical Logics, Vol. 24 (pp 153-168)

Article | https://doi.org/10.1080/11663081.2014.911537 | UvA-DARE

Schulz, K. (2014) Fake Tense in Conditional Sentences: A Modal Approach.

Natural Language Semantics, Vol. 22 (pp 117-144)

Article | https://doi.org/10.1007/s11050-013-9102-0 | UvA-DARE

Schulz, K. (2015) Conditionals from a linguistic point of view: Two case studies.

Journal of Philosophical Logic, Vol. 44 (pp 805-816)

Article | https://doi.org/10.1007/s10992-015-9361-y | UvA-DARE

Schulz, K. (2017) Fake perfect in X-marked conditionals.

Proceedings from Semantics and Linguistic Theory, Vol. 27 (pp 547-570)

Article | https://doi.org/10.3765/salt.v27i0.4149 | UvA-DARE

Schulz, K. (2018) The similarity approach strikes back: Negation in counterfactuals.

In Sauerland, U. Solt, S. (Eds.), Proceedings of Sinn und Bedeutung 22 (pp 343-360) (ZAS Papers in Linguistics, Vol. 61). Leibniz-Centre General Linguistics.

Schulz, P., Aziz, W., Cohn, T. (2018) A Stochastic Decoder for Neural Machine Translation.

In Gurevych, I. Miyao, Y. (Eds.), ACL 2018 : The 56th Annual Meeting of the Association for Computational Linguistics: proceedings of the conference : July 15-20, 2018, Melbourne, Australia (pp 1243-1252). The Association for Computational Linguistics.

Schulz, P., Aziz, W., Sima'an, K. (2016) Word Alignment without NULL words.

In Erk, K. Smith, N.A. (Eds.), The 54th Annual Meeting of the Association for Computational Linguistics : ACL 2016: proceedings of the conference : August 7-12, 2016, Berlin Germany (pp 169-174). Association for Computational Linguistics.

Schulz, P., Aziz, W. (2016) Fast Collocation-Based Bayesian HMM Word Alignment.

In Matsumoto, Y. Prasad, R. (Eds.), Proceedings of COLING 2016: technical papers: the 26th International Conference on Computational Linguistics : Osaka, Japan, December 11-17 2016 (pp 3146-3155). The COLING 2016 Organizing Committee.

Schulz, P. (2020) Latent variable models for machine translation and how to learn them.

Institute for Logic, Language and Computation.

Thesis, fully internal | UvA-DARE

Seginer, Y. (2002) Fast learning from strings of 2-letter rigid grammars.

In van Zaanen, M. Adriaans, P. Fernau, H. (Eds.), Grammatical Inference: Algorithms and Applications, ICGI 2002, volume 2484 of LNAI (pp 213-224). Springer Verlag.

Seginer, Y. (2003) Learning context free grammars in the limit aided by the sample distribution.

In van Zaanen, M. de la Higuera, C. Adriaans, P. Oncina, J. (Eds.), Proceedings of the Workshop and Tutorial on Learning Context Free grammars ECML/PKDD 2003

Seginer, Y. (2007) Learning syntactic structure.

ILLC.

Thesis, fully internal | UvA-DARE