Open Machine Translation Core: An Open API for Machine Translation Systems
نویسندگان
چکیده
منابع مشابه
Open Machine Translation Core: An Open API for Machine Translation Systems
Open Machine Translation Core (OMTC) is a proposed open API that defines an application programming interface (API) for machine translation (MT) systems. The API defined is a service interface which can be used to underpin any type of MT application. It consists of components which allow programmers, with little effort, to integrate different MT back-ends into their applications since an OMTC c...
متن کاملCombining Resources for Open Source Machine Translation
In this paper, we present a Japanese→English machine translation system that combines rule-based and statistical translation. Our system is unique in that all of its components are freely available as open source software. We describe the development of the rule-based translation engine including transfer rule acquisition from an open bilingual dictionary. We also show how translations from bot...
متن کاملMulti-Engine Machine Translation with an Open-Source Decoder for Statistical Machine Translation
We describe an architecture that allows to combine statistical machine translation (SMT) with rule-based machine translation (RBMT) in a multi-engine setup. We use a variant of standard SMT technology to align translations from one or more RBMT systems with the source text. We incorporate phrases extracted from these alignments into the phrase table of the SMT system and use the open-source dec...
متن کاملCombining Machine Translation Output with Open Source
The Carnegie Mellon multi-engine machine translation software merges output from several machine translation systems into a single improved translation. This improvement is significant: in the recent NIST MT09 evaluation, the combined Arabic-English output scored 5.22 BLEU points higher than the best individual system. Concurrent with this paper, we release the source code behind this result co...
متن کاملTHUMT: An Open Source Toolkit for Neural Machine Translation
This paper introduces THUMT, an opensource toolkit for neural machine translation (NMT) developed by the Natural Language Processing Group at Tsinghua University. THUMT implements the standard attention-based encoder-decoder framework on top of Theano and supports three training criteria: maximum likelihood estimation, minimum risk training, and semi-supervised training. It features a visualiza...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Prague Bulletin of Mathematical Linguistics
سال: 2013
ISSN: 1804-0462,0032-6585
DOI: 10.2478/pralin-2013-0015