Tradubi: Open-Source Social Translation for the Apertium Machine Translation Platform

نویسندگان

  • Víctor M. Sánchez-Cartagena
  • Juan Antonio Pérez-Ortiz
چکیده

Massive online collaboration could become a winning strategy to tear down the language barriers on the web, and in order for this to happen appropriate computer tools, like reliable machine translation systems and friendly postediting interfaces, should be widely available. However, community collaboration should not only involve the postediting of machine translations, but also the creation of the linguistic resources needed to improve the translation engines. In this paper we introduce Tradubi, a free/open-source web application for social translation, whose aim is, firstly, to build a platform for collaboratively customising and improving rule-based machine translation systems and, secondly, to offer an environment for the postediting and subsequent sharing of raw machine translations. Currently, Tradubi is built upon the free/open-source Apertium machine translation engine. The application can be accessed at tradubi.com or downloaded and installed on a different server.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The Prague Bulletin of Mathematical Linguistics Free/open-source Resources in the Apertium Platform for Machine Translation Research and Development

This paper describes the resources available in the Apertium platform, a free/open-source framework for creating rule-based machine translation systems. Resources within the platform take the form of finite-state morphologies for morphological analysis and generation, bilingual transfer lexica, probabilistic part-of-speech taggers and transfer rule files, all in standardised formats. These reso...

متن کامل

A Light Sliding-Window Part-of-Speech Tagger for the Apertium Free/Open-Source Machine Translation Platform

This paper describes a free/open-source implementation of the light sliding-window (LSW) part-of-speech tagger for the Apertium free/open-source machine translation platform. Firstly, the mechanism and training process of the tagger are reviewed, and a new method for incorporating linguistic rules is proposed. Secondly, experiments are conducted to compare the performances of the tagger under d...

متن کامل

Free/Open-Source Resources in the Apertium Platform for Machine Translation Research and Development

This paper describes the resources available in the Apertium platform, a free/open-source framework for creating rule-basedmachine translation systems. Resources within the platform take the form of finite-state morphologies for morphological analysis and generation, bilingual transfer lexica, probabilistic part-of-speech taggers and transfer rule files, all in standardised formats. These resou...

متن کامل

Desarrollo de un sistema libre de traducción automática del euskera al castellano

This paper presents a free (or open-source) rule-based machine translation system between Basque and Spanish, based on the Apertium machine translation platform aimed at assimilation, that is, as a help for the understanding of texts written in Basque. The development process and current status are described and an evaluation is given of the utility of the output.

متن کامل

apertium-cy - a collaboratively-developed free RBMT system for Welsh to English

apertium-cy (http://www.cymraeg.org.uk) is a rule-based “gisting” machine translation system forWelsh to English, with both engine and data released under the GPL.We summarise the development of apertium-cy, evaluate its output, and discuss the advantages of a collaborative development model combined with rule-based MT for marginalised languages. 1. e Apertium platform apertium-cy is a “gistin...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Prague Bull. Math. Linguistics

دوره 93  شماره 

صفحات  -

تاریخ انتشار 2010