Paper: Tense Tagging for Verbs in Cross-Lingual Context: A Case Study

ACL ID I05-1077
Title Tense Tagging for Verbs in Cross-Lingual Context: A Case Study
Venue International Joint Conference on Natural Language Processing
Session Main Conference
Year 2005
Authors

The current work applies Conditional Random Fields to the problem of temporal reference mapping from Chinese text to English text. The learning algorithm utilizes a moderate number of linguistic features that are easy and in- expensive to obtain. We train a tense classifier upon a small amount of manu- ally labeled data. The evaluation results are promising according to standard measures as well as in comparison with a pilot tense annotation experiment in- volving human judges. Our study exhibits potential value for full-scale machine translation systems and other natural language processing tasks in a cross- lingual scenario.