Paper: Who What When Where Why? Comparing Multiple Approaches to the Cross-Lingual 5W Task

ACL ID P09-1048
Title Who What When Where Why? Comparing Multiple Approaches to the Cross-Lingual 5W Task
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2009
Authors

Cross-lingual tasks are especially difficult due to the compounding effect of errors in language processing and errors in machine translation (MT). In this paper, we present an error analysis of a new cross-lingual task: the 5W task, a sentence-level understanding task which seeks to return the English 5W's (Who, What, When, Where and Why) corresponding to a Chinese sentence. We analyze systems that we developed, identifying specific prob- lems in language processing and MT that cause errors. The best cross-lingual 5W sys- tem was still 19% worse than the best mono- lingual 5W system, which shows that MT significantly degrades sentence-level under- standing. Neither source-language nor target- language analysis was able to circumvent problems in MT, although each approach had ...