Moses and the Character-Based Random Babbling Baseline: CoAStaL at AmericasNLP 2021 Shared Task

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Standard

Moses and the Character-Based Random Babbling Baseline : CoAStaL at AmericasNLP 2021 Shared Task. / Bollmann, Marcel; Aralikatte, Rahul; Bello, Héctor Ricardo Murrieta; Hershcovich, Daniel; de Lhoneux, Miryam; Søgaard, Anders.

Proceedings of the 1st Workshop on Natural Language Processing for Indigenous Languages of the Americas, AmericasNLP 2021. ed. / Manuel Mager; Arturo Oncevay; Annette Rios; Ivan Vladimir Meza Ruiz; Alexis Palmer; Graham Neubig; Katharina Kann. Association for Computational Linguistics, 2021. p. 248-254.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Harvard

Bollmann, M, Aralikatte, R, Bello, HRM, Hershcovich, D, de Lhoneux, M & Søgaard, A 2021, Moses and the Character-Based Random Babbling Baseline: CoAStaL at AmericasNLP 2021 Shared Task. in M Mager, A Oncevay, A Rios, IVM Ruiz, A Palmer, G Neubig & K Kann (eds), Proceedings of the 1st Workshop on Natural Language Processing for Indigenous Languages of the Americas, AmericasNLP 2021. Association for Computational Linguistics, pp. 248-254, 1st Workshop on Natural Language Processing for Indigenous Languages of the Americas, AmericasNLP 2021, Virtual, Online, 11/06/2021. https://doi.org/10.18653/v1/2021.americasnlp-1.28

APA

Bollmann, M., Aralikatte, R., Bello, H. R. M., Hershcovich, D., de Lhoneux, M., & Søgaard, A. (2021). Moses and the Character-Based Random Babbling Baseline: CoAStaL at AmericasNLP 2021 Shared Task. In M. Mager, A. Oncevay, A. Rios, I. V. M. Ruiz, A. Palmer, G. Neubig, & K. Kann (Eds.), Proceedings of the 1st Workshop on Natural Language Processing for Indigenous Languages of the Americas, AmericasNLP 2021 (pp. 248-254). Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.americasnlp-1.28

Vancouver

Bollmann M, Aralikatte R, Bello HRM, Hershcovich D, de Lhoneux M, Søgaard A. Moses and the Character-Based Random Babbling Baseline: CoAStaL at AmericasNLP 2021 Shared Task. In Mager M, Oncevay A, Rios A, Ruiz IVM, Palmer A, Neubig G, Kann K, editors, Proceedings of the 1st Workshop on Natural Language Processing for Indigenous Languages of the Americas, AmericasNLP 2021. Association for Computational Linguistics. 2021. p. 248-254 https://doi.org/10.18653/v1/2021.americasnlp-1.28

Author

Bollmann, Marcel ; Aralikatte, Rahul ; Bello, Héctor Ricardo Murrieta ; Hershcovich, Daniel ; de Lhoneux, Miryam ; Søgaard, Anders. / Moses and the Character-Based Random Babbling Baseline : CoAStaL at AmericasNLP 2021 Shared Task. Proceedings of the 1st Workshop on Natural Language Processing for Indigenous Languages of the Americas, AmericasNLP 2021. editor / Manuel Mager ; Arturo Oncevay ; Annette Rios ; Ivan Vladimir Meza Ruiz ; Alexis Palmer ; Graham Neubig ; Katharina Kann. Association for Computational Linguistics, 2021. pp. 248-254

Bibtex

@inproceedings{b7056869ad7b4215afd2729d0e492ffd,
title = "Moses and the Character-Based Random Babbling Baseline: CoAStaL at AmericasNLP 2021 Shared Task",
abstract = "We evaluated a range of neural machine translation techniques developed specifically for low-resource scenarios. Unsuccessfully. In the end, we submitted two runs: (i) a standard phrase-based model, and (ii) a random babbling baseline using character trigrams. We found that it was surprisingly hard to beat (i), in spite of this model being, in theory, a bad fit for polysynthetic languages; and more interestingly, that (ii) was better than several of the submitted systems, highlighting how difficult low-resource machine translation for polysynthetic languages is.",
author = "Marcel Bollmann and Rahul Aralikatte and Bello, {H{\'e}ctor Ricardo Murrieta} and Daniel Hershcovich and {de Lhoneux}, Miryam and Anders S{\o}gaard",
note = "Publisher Copyright: {\textcopyright} 2021 Association for Computational Linguistics; 1st Workshop on Natural Language Processing for Indigenous Languages of the Americas, AmericasNLP 2021 ; Conference date: 11-06-2021",
year = "2021",
doi = "10.18653/v1/2021.americasnlp-1.28",
language = "English",
pages = "248--254",
editor = "Manuel Mager and Arturo Oncevay and Annette Rios and Ruiz, {Ivan Vladimir Meza} and Alexis Palmer and Graham Neubig and Katharina Kann",
booktitle = "Proceedings of the 1st Workshop on Natural Language Processing for Indigenous Languages of the Americas, AmericasNLP 2021",
publisher = "Association for Computational Linguistics",

}

RIS

TY - GEN

T1 - Moses and the Character-Based Random Babbling Baseline

T2 - 1st Workshop on Natural Language Processing for Indigenous Languages of the Americas, AmericasNLP 2021

AU - Bollmann, Marcel

AU - Aralikatte, Rahul

AU - Bello, Héctor Ricardo Murrieta

AU - Hershcovich, Daniel

AU - de Lhoneux, Miryam

AU - Søgaard, Anders

N1 - Publisher Copyright: © 2021 Association for Computational Linguistics

PY - 2021

Y1 - 2021

N2 - We evaluated a range of neural machine translation techniques developed specifically for low-resource scenarios. Unsuccessfully. In the end, we submitted two runs: (i) a standard phrase-based model, and (ii) a random babbling baseline using character trigrams. We found that it was surprisingly hard to beat (i), in spite of this model being, in theory, a bad fit for polysynthetic languages; and more interestingly, that (ii) was better than several of the submitted systems, highlighting how difficult low-resource machine translation for polysynthetic languages is.

AB - We evaluated a range of neural machine translation techniques developed specifically for low-resource scenarios. Unsuccessfully. In the end, we submitted two runs: (i) a standard phrase-based model, and (ii) a random babbling baseline using character trigrams. We found that it was surprisingly hard to beat (i), in spite of this model being, in theory, a bad fit for polysynthetic languages; and more interestingly, that (ii) was better than several of the submitted systems, highlighting how difficult low-resource machine translation for polysynthetic languages is.

UR - http://www.scopus.com/inward/record.url?scp=85123952292&partnerID=8YFLogxK

U2 - 10.18653/v1/2021.americasnlp-1.28

DO - 10.18653/v1/2021.americasnlp-1.28

M3 - Article in proceedings

AN - SCOPUS:85123952292

SP - 248

EP - 254

BT - Proceedings of the 1st Workshop on Natural Language Processing for Indigenous Languages of the Americas, AmericasNLP 2021

A2 - Mager, Manuel

A2 - Oncevay, Arturo

A2 - Rios, Annette

A2 - Ruiz, Ivan Vladimir Meza

A2 - Palmer, Alexis

A2 - Neubig, Graham

A2 - Kann, Katharina

PB - Association for Computational Linguistics

Y2 - 11 June 2021

ER -

ID: 291814762