A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank
We show that the choice of pretraining languages affects downstream cross-lingual transfer for BERT-based models. We inspect zero-shot performance in balanced data conditions to mitigate data size confounds, classifying pretraining languages that improve downstream performance as donors, and languages that are improved in zero-shot performance as recipients. We develop a method of quadratic time complexity in the number of languages to estimate these relations, instead of an exponential exhaustive computation of all possible combinations. We find that our method is effective on a diverse set of languages spanning different linguistic features and two downstream tasks. Our findings can inform developers of large-scale multilingual language models in choosing better pretraining configurations.
Code (1)
Tasks
Cross-Lingual TransferSimilar Papers 제목 키워드 기반
A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank
We show that the choice of pretraining languages affects downstream cross-lingual transfer for BERT based models. We inspect zero-shot performance under balanced data conditions to mitigate data size confounds, classifyi…
Cross-Lingual TransferXTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization
Much recent progress in applications of machine learning models to NLP has been driven by benchmarks that evaluate models across a wide variety of tasks. However, these broad-coverage benchmarks have been mostly limited …
Cross-Lingual TransferRetrievalSentenceSentence RetrievalXTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation
Much recent progress in applications of machine learning models to NLP has been driven by benchmarks that evaluate models across a wide variety of tasks. However, these broad-coverage benchmarks have been mostly limited …
Cross-Lingual TransferRetrievalSentenceSentence Retrieval+1Cross-lingual Transfer of Monolingual Models
Recent studies in zero-shot cross-lingual learning using multilingual models have falsified the previous hypothesis that shared vocabulary and joint pre-training are the keys to cross-lingual generalization. Inspired by …
Cross-Lingual TransferDomain AdaptationEvaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation
The recently proposed massively multilingual neural machine translation (NMT) system has been shown to be capable of translating over 100 languages to and from English within a single model. Its improved translation perf…
Cross-Lingual TransferMachine TranslationNMTTransfer Learning+1