Improving the Efficiency of a Generation Algorithm for Shake and Bake Machine Translation Using Head-Driven Phrase Structure Grammar

TL;DR

This paper presents an improved Shake and Bake machine translation algorithm for Head-Driven Phrase Structure Grammar, focusing on enhancing efficiency through analysis and proposed modifications, supported by preliminary empirical results.

Contribution

It introduces a more efficient generation algorithm for HPSG-based machine translation, building on Whitelock's unification categorial grammar approach.

Findings

Preliminary empirical results show improved efficiency.

Analysis identifies key sources of inefficiency.

Proposals suggest further enhancements.

Abstract

A Shake and Bake machine translation algorithm for Head-Driven Phrase Structure Grammar is introduced based on the algorithm proposed by Whitelock for unification categorial grammar. The translation process is then analysed to determine where the potential sources of inefficiency reside, and some proposals are introduced which greatly improve the efficiency of the generation algorithm. Preliminary empirical results from tests involving a small grammar are presented, and suggestions for greater improvement to the algorithm are provided.