@inproceedings{81d7562c6aba4951b55330b2dfeefcbb,
title = "An Enhanced New Word Identification Approach Using Bilingual Alignment",
abstract = "Traditional new word detection focused on finding the positional distribution of new words on Chinese text, but rarely on other languages. It was also difficult to obtain semantic information or translations of these new words. This paper proposed NEWBA, an enhanced new word identification algorithm by using bilingual corpus alignment. It indicated that NEWBA performs better than the traditional unsupervised method. In addition, it can obtain bilingual word pairs, which was able to provide us with translations beyond detection. NEWBA can expand the scope of traditional new word detection and therefore obtain more valuable information from bilingual aligned corpora.",
keywords = "Bilingual corpus alignment, Multilingual, New word detection",
author = "Ziyan Yang and Huaping Zhang and Jianyun Shang and Silamu Wushour",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 11th CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2022 ; Conference date: 24-09-2022 Through 25-09-2022",
year = "2022",
doi = "10.1007/978-3-031-17120-8_8",
language = "English",
isbn = "9783031171192",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "92--104",
editor = "Wei Lu and Shujian Huang and Yu Hong and Xiabing Zhou",
booktitle = "Natural Language Processing and Chinese Computing - 11th CCF International Conference, NLPCC 2022, Proceedings",
address = "Germany",
}