Results 281 to 290 of about 78,002 (309)

Statistical Machine Translation based on LDA

2010 4th International Universal Communication Symposium, 2010
Current Statistical Machine Translation (SMT) systems translate one sentence at a time, ignoring any document level information. Consequently, translation models are learned only at sentence level and document contexts are generally overlooked. In this paper, we try to introduce document topic to help SMT system to produce target sentences.
Zhengxian Gong, Yu Zhang, Guodong Zhou
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Bilingual Segmenter for Statistical Machine Translation

2008 Second International Symposium on Universal Communication, 2008
We propose a bilingually-motivated segmenting framework for Chinese which has no clear delimiter for word boundaries. It involves producing Chinese tokens in line with word-based languages? words using a bilingual segmenting algorithm, provided with bitexts, and deriving a probabilistic tokenizing model based on previously annotated Chinese sentences ...
Chung-Chi Huang, Wei-Teh Chen, Jason S. Chang   +2 more
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Semantics, Discourse and Statistical Machine Translation

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics: Tutorials, 2014
In the past decade, statistical machine translation (SMT) has been advanced from word-based SMT to phraseand syntax-based SMT. Although this advancement produces significant improvements in BLEU scores, crucial meaning errors and lack of cross-sentence connections at discourse level still hurt the quality of SMT-generated translations.
Deyi Xiong, Min Zhang 0005
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Statistical Machine Translation

2014
We introduce a brief introduction to statistical machine translation for semitic languages along with an overview of machine translation approaches. We discuss the special consideration that should be taken into account when developing SMT systems for Semitic languages.
Hany Hassan, Kareem Darwish
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Statistical machine translation gains respect

Computer, 2005
Relatively few researchers have worked on approaches that compare and analyze documents and their already-available translations to determine statistically, without prior linguistic knowledge, the likely meanings of phrases. These statistical systems use this information to translate new documents.
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A Survey of Multilingual Neural Machine Translation

ACM Computing Surveys, 2021
Chenhui Chu, Anoop Kunchukuttan
exaly  

A Survey on Document-level Neural Machine Translation

ACM Computing Surveys, 2022
Gholamreza Haffari
exaly  

Neural Machine Translation for Low-resource Languages: A Survey

ACM Computing Surveys, 2023
Surangika Ranathunga, En-Shiun Annie Lee, Marjana Prifti Skenduli   +2 more
exaly  

Statistical machine translation and its challenges

Interspeech 2004, 2004
In addition to speech recognition and syntactic parsing, during the last 10 years, the statistical approach has found widespread use in machine translation of both written language and spoken language. In many comparative evaluations, the statistical approach was found to be competitive or superior to the existing conventional approaches.
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Variational multimodal machine translation with underlying semantic alignment

Information Fusion, 2021
Shiliang Sun, Huawen Liu
exaly