Results 81 to 90 of about 574,173 (343)

Extracting features from text to improve statistical machine translation

Journal of Applied Linguistics and Lexicography, 2019
In this paper we investigate the technique of extending the Moses Statistical Machine Translation (SMT) system default set of features using shallow linguistic information from source and target phrases.
Александр Павлович Молчанов
doaj   +1 more source

THE COMPARATIVE ANALYSIS OF THE MACHINE TRANSLATION SYSTEMS OF ECONOMIC DISCOURSE (ON THE EXAMPLE OF FRENCH-UKRAINIAN LANGUAGE PAIRS) [PDF]

Вісник університету ім. А. Нобеля. Серія Філологічні науки, 2019
The paper is devoted to the research of the comparative analysis of the machine translation systems of French-language economic discourse in Ukrainian, taking into account the growing tendencies in the foreign economic activity of domestic enterprises ...
Nataliia M. Sopyluk, Ilona O. Tsarenko
doaj   +1 more source

Statistically motivated example-based machine translation using translation memory [PDF]

, 2010
In this paper we present a novel way of integrating Translation Memory into an Example-based Machine translation System (EBMT) to deal with the issue of low resources. We have used a dialogue of 380 sentences as the example-base for our system.
Dandapat, Sandipan, Kumar Naskar, Sudip, Morrissey, Sara, Somers, Harold   +3 more
core  

Learning to Generate Pseudo-Code from Source Code Using Statistical Machine Translation (T)

International Conference on Automated Software Engineering, 2015
Pseudo-code written in natural language can aid the comprehension of source code in unfamiliar programming languages. However, the great majority of source code has no corresponding pseudo-code, because pseudo-code is redundant and laborious to create ...
Yusuke Oda, Hiroyuki Fudaba, Graham Neubig, Hideaki Hata, S. Sakti, T. Toda, Satoshi Nakamura   +6 more
semanticscholar   +1 more source

An Inkjet‐Printed Platinum‐Based Temperature Sensing Element on Polyimide Substrates

Advanced Engineering Materials, EarlyView.
An inkjet‐printed, meander‐structured, nanoparticle platinum‐based resistive temperature sensors on polyimide substrates are demonstrated as proof‐of‐concept. Optimized sintering at 250°C enables stable conductive structures. The Pt100‐ and Pt1000‐type sensors exhibit linear resistance–temperature characteristics with stable TCR in the 20°C–80°C range,
Shawon Alam, Thomas Kister, Alexander Scholz, Sophie Sauva, Makara Lay, Tobias Kraus, Jasmin Aghassi‐Hagmann   +6 more
wiley   +1 more source

Accuracy-based scoring for phrase-based statistical machine translation [PDF]

, 2010
Although the scoring features of state-of-the-art Phrase-Based Statistical Machine Translation (PB-SMT) models are weighted so as to optimise an objective function measuring translation quality, the estimation of the features themselves does not have ...
Galron, Daniel, Ma, Yanjun, Penkale, Sergio, Way, Andy   +3 more
core   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Tuning syntactically enhanced word alignment for statistical machine translation [PDF]

, 2009
We introduce a syntactically enhanced word alignment model that is more flexible than state-of-the-art generative word alignment models and can be tuned according to different end tasks.
Lambert, Patrik, Ma, Yanjun, Way, Andy
core   +3 more sources

Top-Rank Enhanced Listwise Optimization for Statistical Machine Translation

, 2017
Pairwise ranking methods are the basis of many widely used discriminative training approaches for structure prediction problems in natural language processing(NLP).
Chen, Huadong, Chen, Jiajun, Chiang, David, Dai, Xinyu, Huang, Shujian   +4 more
core   +1 more source

Statistical machine translation for Indic languages

Natural Language Processing
AbstractStatistical Machine Translation (SMT) systems use various probabilistic and statistical Natural Language Processing (NLP) methods to automatically translate from one language to another language while retaining the originality of the context. This paper aims to discuss the development of bilingual SMT models for translating English into fifteen
Sudhansu Bala Das, Divyajyoti Panda, Tapas Kumar Mishra, Bidyut Kr. Patra   +3 more
openaire   +2 more sources