Results 41 to 50 of about 347,964 (321)
Rule Based Transliteration Scheme for English to Punjabi [PDF]
, 2013 Machine Transliteration has come out to be an emerging and a very important research area in the field of machine translation. Transliteration basically aims to preserve the phonological structure of words. Proper transliteration of name entities plays a
Bhalla, Deepti +2 more
core +2 more sources
Rule-based Syntactic Preprocessing for Syntax-based Machine Translation [PDF]
Proceedings of SSST-8, Eighth Workshop on Syntax, Semantics and Structure in Statistical Translation, 2014 Several preprocessing techniques using syntactic information and linguistically motivated rules have been proposed to improve the quality of phrase-based machine translation (PBMT) output. On the other hand, there has been little work on similar techniques in the context of other translation formalisms such as syntax-based SMT.
Yuto Hatakoshi +4 more
openalex +3 more sources
Transmuter: An Approach to Rule-based English to Marathi Machine Translation
International Journal of Computer Applications, 2014 This paper describes the architecture of a Machine Translation System with source language as English and target language as Marathi. The basic approach used for the development of this system is Rule Based Machine Translation. The basic algorithm for obtaining the correct word order in the target language was developed based on specific traversals of ...
G VGarje +2 more
openalex +3 more sources
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
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
Self-aware cycle curriculum learning for multiple-choice reading comprehension [PDF]
PeerJ Computer Science, 2022 Multiple-choice reading comprehension task has recently attracted significant interest. The task provides several options for each question and requires the machine to select one of them as the correct answer.
Haihong Chen, Yufei Li
doaj +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
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
Why Catalan-Spanish Neural Machine Translation? Analysis, comparison and combination with standard Rule and Phrase-based technologies [PDF]
, 2017 Catalan and Spanish are two related languages given that both derive from Latin. They share similarities in several linguistic levels including morphology, syntax and semantics. This makes them particularly interesting for the MT task.
Ruiz Costa-Jussà, Marta
core +1 more source