STATISTICAL MACHINE TRANSLATION

Liu Yang; Zhang Min

doi:10.4324/9781003168348-12

STATISTICAL MACHINE TRANSLATION

Liu Yang
, Zhang Min

Tsinghua University
Soochow University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Scopus citations

Abstract

Statistical machine translation (SMT) is a machine translation paradigm that generates translations based on a probabilistic model of translation process, the parameters of which are estimated from parallel text. Modeling, training, and decoding are three fundamental problems in SMT. SMT has evolved from an early word-based approach to recent phrase-based and syntax-based approaches in the past decades. As a data-driven technology, it will continue to develop in the era of big data.

Original language	English
Title of host publication	Routledge Encyclopedia of Translation Technology, Second Edition
Publisher	Taylor and Francis
Pages	208-218
Number of pages	11
ISBN (Electronic)	9781000851540
ISBN (Print)	9780367767365
DOIs	https://doi.org/10.4324/9781003168348-12
State	Published - 1 Jan 2023
Externally published	Yes

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STATISTICAL MACHINE TRANSLATION

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