Results 21 to 30 of about 2,609,056 (293)
Neural Machine Translation Advised by Statistical Machine Translation
Neural Machine Translation (NMT) is a new approach to machine translation that has made great progress in recent years. However, recent studies show that NMT generally produces fluent but inadequate translations (Tu et al. 2016b; 2016a; He et al. 2016; Tu et al. 2017). This is in contrast to conventional Statistical Machine Translation (
Xing Wang 0007 +5 more
openaire +2 more sources
Survey of Uyghur Machine Translation Research [PDF]
As one of the important tasks in China's low-resource machine translation research, the development and application of Uyghur machine translation can better promote cultural exchanges and trade between different regions and ethnic groups.However, Uyghur,
Halidanmu ABUDUKELIMU, Yutao HOU, Dengfeng YAO, Abudukelimu ABULIZI, Jishang CHEN
doaj +1 more source
Google Translate and DeepL: Breaking taboos in translator training. Observational study and analysis
In recent decades, when we read about the use of machine translation, we were told that it was not suitable for professional translation. The reason was that machine translation used to produce poor results as long as it was not applied to controlled ...
María-José Varela Salinas, Ruth Burbat
doaj +1 more source
Grammatical machine translation [PDF]
We present an approach to statistical machine translation that combines ideas from phrase-based SMT and traditional grammar-based MT. Our system incorporates the concept of multi-word translation units into transfer of dependency structure snippets, and models and trains statistical components according to state-of-the-art SMT systems.
Stefan Riezler, John T. Maxwell III
openaire +2 more sources
Experiments on domain adaptation for patent machine translation in the PLuTO project [PDF]
The PLUTO1 project (Patent Language Translations Online) aims to provide a rapid solution for the online retrieval and translation of patent documents through the integration of a number of existing state-of-the-art components provided by the project ...
Tinsley, John +3 more
core +2 more sources
Statistical analysis of alignment characteristics for phrase-based machine translation [PDF]
In most statistical machine translation (SMT) systems, bilingual segments are extracted via word alignment. However, there lacks systematic study as to what alignment characteristics can benefit MT under specific experimental settings such as the ...
Petitrenaud, Simon +3 more
core +2 more sources
Capitalizing machine translation [PDF]
We present a probabilistic bilingual capitalization model for capitalizing machine translation outputs using conditional random fields. Experiments carried out on three language pairs and a variety of experiment conditions show that our model significantly outperforms a strong monolingual capitalization model baseline, especially when working with ...
Wei Wang 0006 +2 more
openaire +2 more sources
Combining multi-domain statistical machine translation models using automatic classifiers [PDF]
This paper presents a set of experiments on Domain Adaptation of Statistical Machine Translation systems. The experiments focus on Chinese-English and two domain-specific corpora. The paper presents a novel approach for combining multiple domain-trained
Li, Baoli +5 more
core +2 more sources
Considering the boost in technological development, and that machine translation has been widely used by both industry and academia, the main goal of this paper is to describe possibilities for the incorporation of a basic machine translation module in a
Marileide Dias Esqueda
doaj
Sublanguages in machine translation [PDF]
There have been various attempts at using the sublanguage notion for disambiguation and the selection of target langauge equivalents in machine translation. In this paper a theoretical concept and its implementation in a real MT application are presented. Above this, means of linguistic engineering like weighting mechanisms are proposed.
openaire +2 more sources

