Statistical machine translation - Wikipedia
Statistical machine translation (SMT) was a machine translation approach, that superseded the previous, rule-based approach because it required explicit description of each and every linguistic rule, which was costly, and which often did not generalize to other languages.
Statistical Machine Translation of Languages in Artificial …
Sep 4, 2024 · Statistical machine translation (SMT) is a type of machine translation (MT) that uses statistical models to translate text from one language to another. Unlike traditional rule-based systems, SMT relies on large bilingual text corpora to …
Statistical machine translation | ACM Computing Surveys
Aug 13, 2008 · Statistical machine translation (SMT) treats the translation of natural language as a machine learning problem. By examining many samples of human-produced translation, SMT algorithms automatically learn how to translate. SMT has made tremendous strides in less than two decades, and new ideas are constantly introduced.
统计机器翻译 - 维基百科，自由的百科全书
统计机器翻译 （英語： Statistical Machine Translation，简写为 SMT）是 机器翻译 的一种，也是目前非限定领域机器翻译中性能较佳的一种方法。 统计机器翻译的基本思想是通过对大量的 平行语料 进行统计分析，构建统计翻译模型，进而使用此模型进行翻译。 从早期基于词的机器翻译已经过渡到基于短语的翻译，并正在融合句法信息，以进一步提高翻译的精确性。 2016年前 Google翻译 的大部分语言对采用的都是统计机器翻译的方法 [1]。 而Google亦在此本领域保 …
Statistical machine translation
Statistical machine translation (SMT) is a machine translation approach that uses large volumes of bilingual data to find the most probable translation for a given input. Statistical machine translation systems learn to translate by analysing the statistical relationships between original texts and their existing human translations.
Statistical Machine Translation
Discourse in Statistical Machine Translation. Discours, Frank, Stefan L. Bod, Rens and Christiansen, Morten H. 2012.
Statistical Machine Translation - SpringerLink
Statistical machine translation (SMT) deals with automatically mapping sentences in one human language (for example, French) into another human language (such as English). The first language is called the source and the second language is called the target .
[PDF] Statistical machine translation - Semantic Scholar
Apr 1, 2007 · Statistical machine translation (SMT) treats the translation of natural language as a machine learning problem. By examining many samples of human-produced translation, SMT algorithms automatically learn how to translate.
Statistical Machine Translation - an overview - ScienceDirect
Statistical Machine Translation (SMT) is an approach in machine translation that learns linguistic information directly from large-scale parallel corpora, focusing on word alignments and phrases to translate natural language sentences.
It provides the necessary grounding in linguistics and probabilities, and covers the major models for machine translation: word-based, phrase-based, and tree-based, as well as machine translation evaluation, language modeling, discriminative training and advanced methods to integrate lin-guistic annotation.