Binary-class and Multi-class based Textual Entailment System

The article presents the experiments carried out as part of the participation in Recognizing Inference in TExt (RITE-2) @NTCIR10 for Japanese. RITE-2 has four subtasks Binary-class (BC) subtask for Japanese and Chinese, Multi-class (MC) subtask for Japanese and Chinese, Entrance Exam for Japanese and RITE4QA for Chinese. We have submitted three runs in BC subtask for Japanese (JA) (one run), Chinese Simplified (CS) (one run) and Chinese Traditional (CT) (one run). Three runs have been submitted in MC Subtask, one run for each language. We have developed Textual Entailment system which is based on Machine Translation using the web based Google translator system. The system is based on the Support Vector Machine that uses features from lexical similarity, lexical distance, and syntactic similarity.