Release Time:2023-07-13  Hits:

Date of Publication: 2022-10-09

Journal: 中国通信

Institution: 外国语学院

Volume: 9

Issue: 03

Page Number: 58-67

Abstract: A hybrid approach to English Part-of-Speech（PoS） tagging with its target application being English-Chinese machine translation in business domain is presented,demonstrating how a present tagger can be adapted to learn from a small amount of data and handle unknown words for the purpose of machine translation.A small size of 998 k English annotated corpus in business domain is built semi-automatically based on a new tagset;the maximum entropy model is adopted,and rule-based approach is used in post-processing.The tagger is further applied in Noun Phrase（NP） chunking.Experiments show that our tagger achieves an accuracy of 98.14%,which is a quite satisfactory result.In the application to NP chunking,the tagger gives rise to 2.21% increase in F-score,compared with the results using Stanford tagger.

Note: 新增回溯数据