WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia
Holger Schwenk Facebook AI、Vishrav Chaudhary Facebook AI、Shuo Sun Johns Hopkins University、Hongyu Gong University of Illinois at Urbana-Champaign、Francisco Guzmán Facebook AI
Abstract
We present an approach based on multilingual sentence embeddings to automatically extract parallel sentences from the content of Wikipedia articles in 85 languages, including several dialects or low-resource languages. We do not limit the the extraction process to alignments with English, but systematically consider all possible language pairs. In total, we are able to extract 135M parallel sentences for 1620 different language pairs, out of which only 34M are aligned with English. This corpus of parallel sentences is freely available.111https://github.com/facebookresearch/LASER/tree/master/tasks/WikiMatrix
原文 arXiv:1907.05791;中英对照 + 大白话阅读 https://aha.fim.ai/paper/1907.05791v2