Word sense tagging method based on word relationships
Mao Yuhang · Journal of Tsinghua University(Science and Technology) · 2001
The paper proposes a word sense tagging method using a hybrid strategy combining rule based and statistic based methods. A mathematical model is constructed to remove the word ambiguity in term of its relationship to other words. By evaluating each possible sense combination according to bilingual corpus, the model can select the most reasonable word sense. Then, a rules learning algorithm is proposed and an application algorithm of the learned rules is provided which can increase recall. Its application in English Chinese machine translation system proved a 10% increase in precision.