please cite this dataset by : Nicolas Turenne, Ziwei Chen, Guitao Fan, Jianlong Li, Yiwen Li, Siyuan Wang, Jiaqi Zhou (2021) Mining an English-Chinese parallel Corpus of Financial News, BNU HKBU UIC, technical report The dataset comes from Financial Times news website (https://www.ft.com/) news are written in both languages Chinese and English. FTIE.zip contains all documents in a file individually FT-en-zh.rar contains all documents in one file Below is a sample document in the dataset defined by these fields and syntax : id;time;english_title;chinese_title;integer;english_body;chinese_body 1021892;2008-09-10T00:00:00Z;FLAW IN TWIN TOWERS REVEALED;科学家发现纽约双子塔倒塌的根本原因;1;Scientists have discovered the fundamental reason the Twin Towers collapsed on September 11 2001. The steel used in the buildings softened fatally at 500?C – far below its melting point – as a result of a magnetic change in the metal. @ The finding, announced at the BA Festival of Science in Liverpool yesterday, should lead to a new generation of steels capable of retaining strength at much higher temperatures.;科学家发现了纽约世贸双子大厦(Twin Towers)在2001年9月11日倒塌的根本原因。由于磁性变化,大厦使用的钢在500摄氏度——远远低于其熔点——时变软,从而产生致命后果。 @ 这一发现在昨日利物浦举行的BA科学节(BA Festival of Science)上公布。这应会推动能够在更高温度下保持强度的新一代钢铁的问世。 The dataset contains 60,473 bilingual documents. Time range is from 2007 and 2020. This dataset has been used for parallel bilingual news mining in Finance domain.

{"references": ["Turenne N et al (2021) Mining an English-Chinese parallel Corpus of nancial News"]}

Turenne N et al (2021) Mining an English-Chinese parallel Corpus of nancial News