---
title: "Correspondence-guided Synchronous Parsing of Parallel Corpora"
authors:
  - "Jonas Kuhn"
doi: ""
url: "https://ijcai.org/proceedings/2005/252"
pdf: "https://ijcai.org/proceedings/2005/0252.pdf"
venue: "Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence"
year: 2005
pages: "1694-1694"
track: ""
keywords:
---

# Correspondence-guided Synchronous Parsing of Parallel Corpora

Jonas Kuhn

*Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence*, pages 1694-1694.

## Abstract

We present an efficient dynamic programming algorithm for synchronous parsing of sentence pairs from a parallel corpus with a given word alignment. Unless there is a large proportion of words without a correspondence in the other language, the worstcase complexity is significantly reduced over standard synchronous parsing. The theoretical complexity results are corroborated by a quantitative experimental evaluation.