_____                   _______                   _____                    _____          
         /\    \                 /::\    \                 /\    \                  /\    \         
        /::\    \               /::::\    \               /::\    \                /::\    \        
       /::::\    \             /::::::\    \             /::::\    \              /::::\    \       
      /::::::\    \           /::::::::\    \           /::::::\    \            /::::::\    \      
     /:::/\:::\    \         /:::/~~\:::\    \         /:::/\:::\    \          /:::/\:::\    \     
    /:::/  \:::\    \       /:::/    \:::\    \       /:::/  \:::\    \        /:::/__\:::\    \    
   /:::/    \:::\    \     /:::/    / \:::\    \     /:::/    \:::\    \      /::::\   \:::\    \   
  /:::/    / \:::\    \   /:::/____/   \:::\____\   /:::/    / \:::\    \    /::::::\   \:::\    \  
 /:::/    /   \:::\    \ |:::|    |     |:::|    | /:::/    /   \:::\ ___\  /:::/\:::\   \:::\    \ 
/:::/____/     \:::\____\|:::|____|     |:::|    |/:::/____/     \:::|    |/:::/__\:::\   \:::\____\
\:::\    \      \::/    / \:::\    \   /:::/    / \:::\    \     /:::|____|\:::\   \:::\   \::/    /
 \:::\    \      \/____/   \:::\    \ /:::/    /   \:::\    \   /:::/    /  \:::\   \:::\   \/____/ 
  \:::\    \                \:::\    /:::/    /     \:::\    \ /:::/    /    \:::\   \:::\    \     
   \:::\    \                \:::\__/:::/    /       \:::\    /:::/    /      \:::\   \:::\____\    
    \:::\    \                \::::::::/    /         \:::\  /:::/    /        \:::\   \::/    /    
     \:::\    \                \::::::/    /           \:::\/:::/    /          \:::\   \/____/     
      \:::\    \                \::::/    /             \::::::/    /            \:::\    \         
       \:::\____\                \::/____/               \::::/    /              \:::\____\        
        \::/    /                 ~~                      \::/____/                \::/    /        
         \/____/                                           ~~                       \/____/         
                                                                                                    
                
M.Sc. Manuel Mager [ mmager (at) turing dot iimas dot unam dot mx ]

Recursos en español

English Resources

Tesis

Maestría

  • Jesús Manuel Mager Hois. Traductor híbrido wixárika - español con escasos recursos bilingües. Universidad Autónoma Metropolitana, Febrero, 2017.[PDF] [Bibtex]

Licenciatura

  • Jesús Manuel Mager Hois. El Algoritmo Fringe Search como solución superior a A* en la búsqueda de caminos sobre gráficos de malla. Universidad Nacional Autónoma de México, Mayo, 2015.[PDF] [Bibtex]

Artículos

  • Jesús Manuel Mager Hois e Ivan Vladimir Meza Ruiz. 2018. Hacia la traduccion automática de las lenguas indígenas de México. En Proceedings of the 2018 Digital Humanities Conference. The Association of Digital Humanities Organizations. [Web] [Poster] [Bibtex]
  • Jesús Manuel Mager Hois, Barron Romero Carlos, and Meza Ruiz Ivan Vladimir. Traductor wixárika - español usando descomposición morfológica en Memorias de COMTEL Lima, Perú, Septiembre 2016.
  • [PDF latex] [PDF] [Bibtex]
  • Carlos, Barron Romero, Mager Hois Jesús Manuel, and Reyes Avilés Fernando. Richard Feynman, los Alfabetos y los Lenguajes. en ReLingüistica Aplicada, Junio, 2016. [Online] [Bibtex]
  • Jesús Manuel Mager Hois. Acercamiento a la transformación superestructural de los Native American a través del estudio de redes sociales. En IV Encuentro Internacional de la Frontera, Puebla México, 2008. [PDF] or [HTML]

Otros Documenos

  • 2013 Jesús Manuel Mager Hois. Herramientas GNU/Linux para programadores. [HTML]
  • 2013 Jesús Manuel Mager hois. Programación paralela: OpenMP [PDF] [Presentación en PDF]

Tools

Links

Conferences and Journals

2020
  • Manuel Mager, Özlem Çetinoğlu and Katharina Kann. Tackling the Low-resource Challenge for Canonical Segmentation. In Proceedings of the 2020 Empirical Methods of Natural Language Processing, Punta Cana, Dominican Republic, November 2020. (To appear)
  • Manuel Mager, Ramón Fernandez Astudillo, Tahira Naseem, Md Arafat Sultan, Young-Suk Lee, Radu Florian and Salim Roukos. GPT-too: A Language-Model-First Approach for AMR-to-Text-Generation. In Proceedings of the 2019 Annual Meeting of the Association for Computational Linguistics, Seattle, USA, July 2020. [Preprint] [Code]
2019
  • Manuel Mager, Özlem Çetinoğlu and Katharina Kann. Subword-Level Language Identification for Intra-Word Code-Switching. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics, Minneapolis, USA, June 2019. [Paper] [Video]
  • Mager, M., Rosales, M. J., Çetinoğlu, Ö., & Meza, I. (2019). Low-resource neural character-based noisy text normalization. Journal of Intelligent & Fuzzy Systems, 36(5), 4921-4929.[Link] [Bibtex] [Slides]
2018
  • Mager, M., Gutierrez-Vasques, X., Sierra, G., Meza, I. Challenges of language technologies for the indigenous languages of the Americas 27th International Conference on Computational Linguistics (COLING 2018), Santa Fe, New Mexico, US. August, 2018. [Paper] [Online Resource list] [Bibtex] Selected as one of "Area Chair Favorites"!.
  • Kann, K., Mager, M., Meza, I. Schütze, H. Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies NAACL-HLT 2018, New Orleans, Louisiana, US. June, 2018. [Paper] [Resources] [Bibtex] [Video]
  • Mager, M., Carrillo, D., and Meza, I.Probabilistic Finite-State morphological segmenter for Wixarika (huichol) language. Journal of Intelligent and Fuzzy Systems,34(5):3081-3087, May 2018. [Link] [Slides] [Bibtex]

Workshops

  • Mager, M., Mager, E., Medina-Urrea, A., Meza, I., Kann, K. Lost in Translation: Analysis of Information Loss During Machine Translation Between Polysynthetic and Fusional Languages. Proceeding of "All Together Now? Computational Modeling of Polysynthetic Languages" Worksop, at COLING 2018, Santa Fe, New Mexico, US. August 2018. [PDF]
  • Kann, K., Mager, M., Meza, I. Schütze, H. Improving Neural Morphological Segmentation for Polysynthetic Minimal-Resource Languages. LLD Workshop 2017 (NIPS), Long Beach, Califonia, US. November 2017. [Poster]
  • Jesús Manuel Mager Hois, Diónico Carrillo Gonzalez and Ivan Vladimir Meza Ruíz. WixNLP: Probabilistic Finite-State morphological analyzer for Wixarika language. In WiNLP Workshop on Association for Computational Linguistics (ACL), Vancouver, Canada, August 2017.
  • [PDF] [local] [Poster]

Software and projects

Corpora

Tools

  • My VIM Configuration [ .vimrc ]

Social Networks