---
title: "Evaluating Indirect Strategies for Chinese - Spanish Statistical Machine Translation: Extended Abstract"
authors:
  - "Marta R. Costa-jussà"
  - "Carlos A. Henríquez Q."
  - "Rafael E. Banchs"
doi: ""
url: "https://ijcai.org/proceedings/2013/474"
pdf: "https://ijcai.org/proceedings/2013/0474.pdf"
venue: "Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence"
year: 2013
pages: "3142-3144"
track: ""
keywords:
---

# Evaluating Indirect Strategies for Chinese - Spanish Statistical Machine Translation: Extended Abstract

Marta R. Costa-jussà, Carlos A. Henríquez Q., Rafael E. Banchs

*Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence*, pages 3142-3144.

## Abstract

Although, Chinese and Spanish are two of the most spoken languages in the world, not much research has been done in machine translation for this language pair. This paper focuses on investigating the state-of-the-art of Chinese-to-Spanish statistical machine translation (SMT), which nowadays is one of the most popular approaches to machine translation. We conduct experimental work with the largest of these three corpora to explore alternative SMT strategies by means of using a pivot language. Three alternatives are considered for pivoting: cascading, pseudo-corpus and triangulation. As pivot l