22 datasets found

The Umsuka English-isiZulu Parallel Corpus provides a novel, high-quality parallel dataset for machine translation, containing English sentences sampled from both News Crawl...

The Shifts Machine Translation dataset consists of pairs of source and target sentences in English and Russian.

The ParCor dataset is a parallel corpus of annotated pronouns.

The WIT3 parallel corpus is a large-scale corpus of transcribed and translated talks.

The WMT 2016 task on cross-lingual pronoun prediction is a classification task in which participants are asked to provide predictions on what pronoun class label should replace a...

The MADAR dataset is a parallel corpus for low-resource languages.

The ArzEnSEG corpus is a morphologically annotated dataset for code-switched Egyptian Arabic-English.

The ArzEn parallel corpus consists of speech transcriptions gathered through informal interviews with bilingual Egyptian Arabic-English speakers, as well as their English...

The dataset used in the paper is a collection of text for machine translation, using a single machine translation system for multiple language directions.

The dataset used in the paper is a French-English translation task.

The Zh-En multi-domain dataset consists of four balanced domains: news, patent, subtitles, and COVID-19.

The dataset used in the paper to analyze the translation of 3rd-person pronouns in commercial machine translation systems.

The dataset used in the paper is a collection of adversarial examples and natural examples for machine translation tasks.

This dataset is used to evaluate the performance of context-aware machine translation systems. It consists of English-Russian subtitles with varying levels of context.

Bleu: a method for automatic evaluation of machine translation.

The IWSLT 2014 German-to-English dataset is a machine translation dataset, containing 153K sentence pairs.

High-quality human translations from books, leveraging the induction bias that high-quality human translations are superior to machine-generated translations.

High-quality human translations from books, leveraging the induction bias that high-quality human translations are superior to machine-generated translations.

High-quality human translations from books, leveraging the induction bias that high-quality human translations are superior to machine-generated translations.

The M-MMLU dataset is a multilingual dataset for machine translation.