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Linguistically-Motivated Yorùbá-English Machine Translation.

, , and . COLING, page 5066-5075. International Committee on Computational Linguistics, (2022)

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Using HFST - Helsinki Finite-State Technology for Recognizing Semantic Frames., , , and . SFCM, volume 537 of Communications in Computer and Information Science, page 124-136. Springer, (2015)Kernel Density Estimation for Text-Based Geolocation., , and . AAAI, page 145-150. AAAI Press, (2015)SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection., , , , , , , , , and 18 other author(s). SIGMORPHON, page 1-39. Association for Computational Linguistics, (2020)Multiple Sources are Better Than One: Incorporating External Knowledge in Low-Resource Glossing., , and . CoRR, (2024)Accelerated Estimation of Conditional Random Fields using a Pseudo-Likelihood-inspired Perceptron Variant., , , and . EACL, page 74-78. The Association for Computer Linguistics, (2014)Embedded Translations for Low-resource Automated Glossing., , and . CoRR, (2024)Combining Statistical Models for POS Tagging using Finite-State Calculus., and . NODALIDA, page 183-190. Northern European Association for Language Technology (NEALT) / Tartu University Library (Estonia) / ACL, (2011)UniMorph 3.0: Universal Morphology., , , , , , , , , and 12 other author(s). LREC, page 3922-3931. European Language Resources Association, (2020)BabyFST - Towards a Finite-State Based Computational Model of Ancient Babylonian., , , and . LREC, page 3886-3894. European Language Resources Association, (2020)Modeling OOV Words With Letter N-Grams in Statistical Taggers: Preliminary Work in Biomedical Entity Recognition., and . NODALIDA, volume 85 of Linköping Electronic Conference Proceedings, page 181-193. Linköping University Electronic Press, (2013)