A Language-Neutral Representation of Temporal Information
- Richard Campbell ,
- Takako Aikawa ,
- Zixin Jiang ,
- Carmen Lozano ,
- Maite Melero ,
- Andi Wu
Published by ACL - Association for Computational Linguistics
We propose a framework for representing semantic tense that is language-neutral, different tenses in different languages in a shared formal vocabulary. surface distinctions for particular languages, while allowing fully semantic to be derived from it. The proposed framework also supports the incorporation from grammatical tense, but derives instead from other expressions such in NLPWin, a multi-lingual, multi-application natural language understanding Research, but the representational framework is in principle independent