We present a system, called IMMIGRANT, which learns rules about the grammar of a second language from instructions. We explore the implications of this task on the representation of linguistic knowledge in a natural language understanding system. We conclude that the internal representation of linguistic knowledge used in IMMIGRANT, which is unification-based, is more amenable to language learning from instructions than other representation schemes.
CITATION STYLE
Lytinen, S. L., & Moon, C. E. (1988). Learning a Second Language. In Proceedings of the 7th National Conference on Artificial Intelligence, AAAI 1988 (pp. 222–226). AAAI Press. https://doi.org/10.1309/lmmivrit61grdyh1
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