Author of the publication

New Inflectional Lexicons and Training Corpora for Improved Morphosyntactic Annotation of Croatian and Serbian.

, , , and . LREC, European Language Resources Association (ELRA), (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Fine-grained human evaluation of neural versus phrase-based machine translation., , and . CoRR, (2017)ADAPT at SemEval-2018 Task 9: Skip-Gram Word Embeddings for Unsupervised Hypernym Discovery in Specialised Corpora., and . SemEval@NAACL-HLT, page 924-927. Association for Computational Linguistics, (2018)Probing Taxonomic and Thematic Embeddings for Taxonomic Information., and . GWC, page 1-13. Global Wordnet Association, (2023)Predicting Inflectional Paradigms and Lemmata of Unknown Words for Semi-automatic Expansion of Morphological Lexicons., , , and . RANLP, page 379-387. RANLP 2015 Organising Committee / ACL, (2015)Idioms, Probing and Dangerous Things: Towards Structural Probing for Idiomaticity in Vector Space., , and . MWE@EACL, page 45-57. Association for Computational Linguistics, (2023)Dealing with Data Sparseness in SMT with Factured Models and Morphological Expansion: a Case Study on Croatian., , and . EAMT, page 354-360. European Association for Machine Translation, (2016)Probing with Noise: Unpicking the Warp and Weft of Embeddings., and . BlackboxNLP@EMNLP, page 404-417. Association for Computational Linguistics, (2022)bs, hr, srWaC - Web Corpora of Bosnian, Croatian and Serbian., and . WaC@EACL, page 29-35. Association for Computational Linguistics, (2014)Size Matters: The Impact of Training Size in Taxonomically-Enriched Word Embeddings., , and . Open Comput. Sci., 9 (1): 252-267 (2019)Synthetic, yet natural: Properties of WordNet random walk corpora and the impact of rare words on embedding performance., , , and . GWC, page 140-150. Global Wordnet Association, (2019)