Papers by Frederic Blum
Building an Endangered Language Resource in the Classroom: Universal Dependencies for Kakataibo (2022.lrec-1)
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Roberto Zariquiey, Claudia Alvarado, Ximena Echevarría, Luisa Gomez, Rosa Gonzales, Mariana Illescas, Sabina Oporto, Frederic Blum, Arturo Oncevay, Javier Vera
| Challenge: | 12 This paper describes the collaborative methodology implemented to create a UD treebank for a Peruvian endangered language. |
| Approach: | They propose to create a UD treebank for a Peruvian endangered language . they use a collaborative methodology to create the treebank in a course . |
| Outcome: | The proposed treebank would enhance the future development of an NLP toolkit for this endangered language. |
From Isolates to Families: Using Neural Networks for Automated Language Affiliation (2025.acl-long)
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| Challenge: | linguistic affiliation of languages to a common language family is traditionally carried out manually . large-scale standardized collections of multilingual wordlists and grammatical language structures could improve this . |
| Approach: | They propose to use lexical and grammatical data to classify languages into families using neural network models. |
| Outcome: | The proposed models outperform models trained on lexical and grammatical data while combining both types of data yields even better performance. |
Evaluating zero-shot transfers and multilingual models for dependency parsing and POS tagging within the low-resource language family Tupían (2022.acl-srw)
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| Challenge: | Existing studies on NLP applications for low-resource languages have not been done in this area. |
| Approach: | They propose to replicate the transferability of dependency parsers and POS taggers trained on closely related languages within the low-resource language family Tupan. |
| Outcome: | The proposed models replicate the transferability of dependency parsers and POS taggers trained on closely related languages within the low-resource language family Tupan. |