Apertium-fin-eng-Rule-based shallow machine translation for WMT 2019 shared task

被引：0

作者：

Pirinen, Tommi A. ^{[1
]}

机构：

[1] Univ Hamburg, Hamburger Zentrum Sprachkorpora, Hamburg, Germany

来源：

FOURTH CONFERENCE ON MACHINE TRANSLATION (WMT 2019) | 2019年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper I describe a rule-based, bidirectional machine translation system for the Finnish-English language pair. The original system is based on the existing data of FinnWordNet, omorfi and apertium-eng. I have built the disambiguation, lexical selection and translation rules by hand. The dictionaries and rules have been developed based on the shared task data. I describe in this article the use of the shared task data as a kind of a test-driven development workflow in RBMT development and show that it suits perfectly to a modern software engineering continuous integration workflow of RBMT and yields big increases to BLEU scores with minimal effort. The system described in the article is mainly developed during shared tasks.

引用

页码：335 / 341

页数：7

共 12 条

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