A Study in Improving BLEU Reference Coverage with Diverse Automatic Paraphrasing - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2020

A Study in Improving BLEU Reference Coverage with Diverse Automatic Paraphrasing

Résumé

We investigate a long-perceived shortcoming in the typical use of BLEU: its reliance on a single reference. Using modern neural paraphrasing techniques, we study whether automatically generating additional diverse references can provide better coverage of the space of valid translations and thereby improve its correlation with human judgments. Our experiments on the into-English language directions of the WMT19 metrics task (at both the system and sentence level) show that using paraphrased references does generally improve BLEU, and when it does, the more diverse the better. However, we also show that better results could be achieved if those paraphrases were to specifically target the parts of the space most relevant to the MT outputs being evaluated. Moreover, the gains remain slight even when using human paraphrases elicited to maximize diversity, suggesting inherent limitations to BLEU's capacity to correctly exploit multiple references. Surprisingly , we also find that adequacy appears to be less important, as shown by the high results of a strong sampling approach, which even beats human paraphrases when used with sentence-level BLEU.
Fichier principal
Vignette du fichier
ParBleu__Syntactic_diversity-26.pdf (299.92 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02981156 , version 1 (27-10-2020)

Identifiants

  • HAL Id : hal-02981156 , version 1

Citer

Rachel Bawden, Biao Zhang, Lisa Yankovskaya, Andre Tättar, Matt Post. A Study in Improving BLEU Reference Coverage with Diverse Automatic Paraphrasing. 2020 Conference on Empirical Methods in Natural Language Processing: Findings, 2020, Punta Cana (online), Dominican Republic. ⟨hal-02981156⟩
40 Consultations
159 Téléchargements

Partager

Gmail Facebook X LinkedIn More