Work

Statistical Machine Translation

Year: 2010

Type: article

Abstract: Statistical Machine Translation (SMT) systems are based on bilingual sentence aligned data. The quality of translation depends on the data provided for translation learning. A huge parallel corpus is required for performing the statistical machine translation. The aim of this paper is to explore SMT using the Moses toolkit for creating a German-English translator. To perform the German to English translation, a parallel corpus of this language pair has been provided. Larger the size of the data provided for the training of the Moses decoder, more accurate is the translated output.

Source: DESIDOC Journal of Library & Information Technology

DOI: 10.14429/djlit.30.457

Authors: Mukesh Kumar, G.S. Vatsa, Nikita Joshi, Sumit Goswami

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4246623119

FWCI:

Cites: 25

Cited by: 3

Related to: 10