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General2Specialized LLMs Translation for E-commerce
March 7, 2024, 5:47 a.m. | Kaidi Chen, Ben Chen, Dehong Gao, Huangyu Dai, Wen Jiang, Wei Ning, Shanqing Yu, Libin Yang, Xiaoyan Cai
cs.CL updates on arXiv.org arxiv.org
Abstract: Existing Neural Machine Translation (NMT) models mainly handle translation in the general domain, while overlooking domains with special writing formulas, such as e-commerce and legal documents. Taking e-commerce as an example, the texts usually include amounts of domain-related words and have more grammar problems, which leads to inferior performances of current NMT methods. To address these problems, we collect two domain-related resources, including a set of term pairs (aligned Chinese-English bilingual terms) and a parallel …
abstract arxiv commerce cs.ai cs.cl documents domain domains e-commerce example general grammar leads legal llms machine machine translation neural machine translation performances translation type words writing
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