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AnyLanguage-To-LIBRAS: Evaluation of an Machine Translation Service of Any Oralized Language for the Brazilian Sign Language., , , и . WebMedia, стр. 481-488. ACM, (2017)An Open and Extensible Platform for Machine Translation of Spoken Languages into Sign Languages., , , , , , , и . jAUTI, том 813 из Communications in Computer and Information Science, стр. 161-176. Springer, (2017)A Study on the Use of Multiple Avatars in 3D Sign Language Dictionaries., , , , , и . WebMedia, стр. 325-332. ACM, (2017)A study on the use of sequence-to-sequence neural networks for automatic translation of brazilian portuguese to LIBRAS., , , , , , , и . WebMedia, стр. 101-108. ACM, (2019)A Flexible Architecture for Building Ruled-Based Text-to-Gloss Machine Translators: Extended Abstract., , , , , и . WebMedia, стр. 473-480. ACM, (2017)Analysis of rule-based machine translation and neural machine translation approaches for translating portuguese to LIBRAS., , , и . WebMedia, стр. 117-124. ACM, (2019)Evaluating machine translation systems for Brazilian sign language in the treatment of critical grammatical aspects., , , и . IHC, стр. 46:1-46:6. ACM, (2020)A Two-Stream Model Based on 3D Convolutional Neural Networks for the Recognition of Brazilian Sign Language in the Health Context., , , и . WebMedia, стр. 5-12. ACM, (2020)A Multilevel Methodology to Assess the Quality of Machine Translators to Brazilian Sign Languages., , , и . CLIHC, стр. 9:1-9:8. ACM, (2023)A Methodology for Assessing Translation Quality Generated by Sign Language Machine Translators: A Case Study with VLibras., , , и . HCI (9), том 12189 из Lecture Notes in Computer Science, стр. 132-146. Springer, (2020)