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Quantifying Synthesis and Fusion and their Impact on Machine Translation

Quantifying Synthesis and Fusion and their Impact on Machine Translation

North American Chapter of the Association for Computational Linguistics (NAACL), 2022
6 May 2022
Arturo Oncevay
Duygu Ataman
N. V. Berkel
Barry Haddow
Alexandra Birch
Johannes Bjerva
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Papers citing "Quantifying Synthesis and Fusion and their Impact on Machine Translation"

3 / 3 papers shown
Title
Confounding Factors in Relating Model Performance to Morphology
Confounding Factors in Relating Model Performance to Morphology
Wessel Poelman
Thomas Bauwens
Miryam de Lhoneux
72
2
0
03 Nov 2025
Morphological Typology in BPE Subword Productivity and Language Modeling
Morphological Typology in BPE Subword Productivity and Language Modeling
Iñigo Parra
140
0
0
31 Oct 2024
Revisiting Syllables in Language Modelling and their Application on
  Low-Resource Machine Translation
Revisiting Syllables in Language Modelling and their Application on Low-Resource Machine TranslationInternational Conference on Computational Linguistics (COLING), 2022
Arturo Oncevay
Kervy Rivas Rojas
Liz Karen Chavez Sanchez
Roberto Zariquiey
220
0
0
05 Oct 2022
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