Results 51 to 60 of about 652,468 (330)
Progress in Machine Translation
Engineering, 2022 After more than 70 years of evolution, great achievements have been made in machine translation. Especially in recent years, translation quality has been greatly improved with the emergence of neural machine translation (NMT).
Haifeng Wang +4 more
doaj
Rule-Based Pronominal Anaphora Treatment for Machine Translation [PDF]
Proceedings of the Second Workshop on Discourse in Machine Translation, 2015 In this paper we describe the rule-based MT system Its-2 developed at the University of Geneva and submitted for the shared task on pronoun translation organized within the Second DiscoMT Workshop. For improving pronoun translation, an Anaphora Resolution (AR) step based on Chomsky’s Binding Theory and Hobbs’ algorithm has been implemented.
Sharid Loáiciga, Eric Wehrli
openaire +2 more sources
Handling Challenges in Rule Based Machine Translation from Marathi to English
International Journal on Natural Language Computing, 2019 Machine translation is being carried out by the researchers from quite a long time. However, it is still a dream to materialize flawless Machine Translator and the small numbers of researchers has focussed at translating Marathi Text to English.
Namrata G. Kharate, Dr.Varsha H. Patil
semanticscholar +1 more source
Advanced Engineering Materials, EarlyView., 2023 The study presents the mechanical and in situ sensing performance of digital light processing‐enabled 2D lattice nanocomposites under monotonic tensile and repeated cyclic loading, and provides guidelines for the design of architectures suitable for strain sensors and smart lightweight structures.
Omar Waqas Saadi +3 more
wiley +1 more source
MACHINE TRANSLATION WITH JAVANESE SPEECH LEVELS’ CLASSIFICATION
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2016 A hybrid corpus-based machine processing has been developed to produce a proper Javanese speech level translation. The developed statistical memory-based machine translation shows significantly accurate results.
Andrew Nafalski, Aji Prasetya Wibawa
doaj +1 more source
Advanced Engineering Materials, EarlyView., 2023 This study aims to explore the feasibility of using a structure inspired by the features of horsetail and human spine as the potential helmet liner, targeting at mitigation of acceleration‐induced injuries. A parametric study is conducted to investigate the effect of individual geometrical variables in the design, indicating its capability to reduce ...
Bing Leng +3 more
wiley +1 more source
USING MACHINE TRANSLATION ENGINES IN THE CLASSROOM: A SURVEY OF TRANSLATION STUDENTS’ PERFORMANCE
Novìtnâ Osvìta, 2020 This paper outlines the results of the experimental study aiming to explore the impact of using machine translation engines on the performance of translation students. Machine translation engines refer to the software developed to translate source texts
Alla Olkhovska, Iryna Frolova
doaj +1 more source
Automatic Classification of Human Translation and Machine Translation: A Study from the Perspective of Lexical Diversity [PDF]
arXiv, 2021 By using a trigram model and fine-tuning a pretrained BERT model for sequence classification, we show that machine translation and human translation can be classified with an accuracy above chance level, which suggests that machine translation and human translation are different in a systematic way. The classification accuracy of machine translation is
arxiv
How much hybridisation does machine translation need? [PDF]
, 2015 This is the peer reviewed version of the following article: [Costa-jussà, M. R. (2015), How much hybridization does machine translation Need?. J Assn Inf Sci Tec, 66: 2160–2165.
Ruiz Costa-Jussà, Marta
core +2 more sources
PETCI: A Parallel English Translation Dataset of Chinese Idioms [PDF]
arXiv, 2022 Idioms are an important language phenomenon in Chinese, but idiom translation is notoriously hard. Current machine translation models perform poorly on idiom translation, while idioms are sparse in many translation datasets. We present PETCI, a parallel English translation dataset of Chinese idioms, aiming to improve idiom translation by both human and
arxiv