Enhancing Machine Translation via Frame-Semantic Data
I’ve just finished my final assignment for the semester, a paper for LING 190. Click the title for the full text of the paper, read the abstract below, and see the cut at the bottom of this entry for a layperson’s explanation of the technical bits. Enhancing Machine Translation via Frame-Semantic Data Abstract Frame semantics is an approach to examining meaning in natural language by considering clusters of related concepts. For instance, in the “commercial transaction” frame, there is a buyer, a seller, goods, and money; different predicates in this frame will place these agents in different syntactic roles, so, in English, the buyer will be the subject of buy while the seller will be the subject of sell. Frame semantics presents a powerful aide to machine translation. Frame-semantic knowledge of an input phrase facilitates more precise word-sense disambiguation and allows greater flexibility in deciding which of multiple valid word orderings to emit in the target lang