Results 11 to 20 of about 709,475 (267)

Advance Research on Neural Machine Translation Integrating Linguistic Knowledge

open access: yesJisuanji kexue yu tansuo, 2021
Although neural machine translation has become the mainstream method and paradigm in the current research and application of machine translation, there are also some problems such as the fluent but not faithful of the translation results, difficult ...
GUO Wanghao, FAN Jiangwei, ZHANG Keliang
doaj   +1 more source

Unveiling Semantic Errors Found in Lexical Translations of Tasya Farasya’s Tiktok Account

open access: yesLingua Cultura, 2023
The research observed the semantic errors in lexis that occurred in the translation by TikTok machine translation. It became the main issue in translation studies because the accuracy of translation produced by machine translation was still questionable
Ni Putu Laksmi Dewi Utami   +1 more
doaj   +1 more source

Multi-View Network Representation Learning Algorithm Research

open access: yesAlgorithms, 2019
Network representation learning is a key research field in network data mining. In this paper, we propose a novel multi-view network representation algorithm (MVNR), which embeds multi-scale relations of network vertices into the low dimensional ...
Zhonglin Ye   +3 more
doaj   +1 more source

PROBLEMS OF PSYCHOLOGICAL SCIENTISIC TEXTS MACHINE TRANSLATION ON THE MATERIAL OF AN INFORMATIONAL BROCHURE

open access: yesSovremennye Issledovaniâ Socialʹnyh Problem, 2022
The article is devoted to the analysis of the psychological scientific text machine translation (from the English language to the Russian one). On the material of the Russian machine translation of an informational brochure, potential difficulties were ...
Ksenia V. Antaeva, Yulia S. Elagina
doaj   +1 more source

A Systematic Comparison of Data Selection Criteria for SMT Domain Adaptation

open access: yesThe Scientific World Journal, 2014
Data selection has shown significant improvements in effective use of training data by extracting sentences from large general-domain corpora to adapt statistical machine translation (SMT) systems to in-domain data.
Longyue Wang   +4 more
doaj   +1 more source

Unsupervised Quality Estimation Model for English to German Translation and Its Application in Extensive Supervised Evaluation

open access: yesThe Scientific World Journal, 2014
With the rapid development of machine translation (MT), the MT evaluation becomes very important to timely tell us whether the MT system makes any progress.
Aaron L.-F. Han   +4 more
doaj   +1 more source

A Relationship: Word Alignment, Phrase Table, and Translation Quality

open access: yesThe Scientific World Journal, 2014
In the last years, researchers conducted several studies to evaluate the machine translation quality based on the relationship between word alignments and phrase table.
Liang Tian   +3 more
doaj   +1 more source

Pre-editing English news texts for machine translation into Russian

open access: yesИсследования языка и современное гуманитарное знание, 2022
The paper discusses the possible advantages of pre-editing English news texts for machine translation into Russian. Pre-editing is defined as a process of adapting source text in order to reach a better quality of machine translation.
Елена Коканова   +2 more
doaj   +1 more source

Are ambiguous conjunctions problematic for machine translation? [PDF]

open access: yes, 2019
The translation of ambiguous words still poses challenges for machine translation. In this work, we carry out a systematic quantitative analysis regarding the ability of different machine translation systems to disambiguate the source language ...
Castilho, Sheila, Popović, Maja
core   +1 more source

Unsupervised Chunking Based on Graph Propagation from Bilingual Corpus

open access: yesThe Scientific World Journal, 2014
This paper presents a novel approach for unsupervised shallow parsing model trained on the unannotated Chinese text of parallel Chinese-English corpus. In this approach, no information of the Chinese side is applied. The exploitation of graph-based label
Ling Zhu, Derek F. Wong, Lidia S. Chao
doaj   +1 more source

Home - About - Disclaimer - Privacy