Results 21 to 30 of about 341,942 (325)
Machine Translation Summit, 2019 Rule-based machine translation is a machine translation paradigm where linguistic knowledge is encoded by an expert in the form of rules that translate from source to target language. While this approach grants total control over the output of the system, the cost of formalising the needed linguistic knowledge is much higher than training a corpus ...
Torregrosa, Daniel +6 more
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Rule Based Case Transfer in Tamil-Malayalam Machine Translation
Research in Computing Science, 2014 The paper focuses on the rule based case transfer, which is a part of the transfer grammar module developed for bidirectional Tamil to Malayalam Machine Translation system. The present study involves two typologically close and genetically related languages, namely Tamil and Malayalam.
Seetha Lakshmi, Sobha Lalitha Devi
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English to Creole and Creole to English Rule Based Machine Translation System [PDF]
International Journal of Advanced Computer Science and Applications, 2013 Machine translation is the process of translating a text from one language to another, using computer software. A translation system is important to overcome language barriers, and help people communicate between different parts of the world. Most of popular online translation system caters only for the most commonly used languages but no research has ...
Sameerchand Pudaruth +2 more
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English to Telugu Rule based Machine Translation System: A Hybrid Approach
, 2014 This paper deals with adaptive rule based machine translation from English to Telugu. This approach is based on rule-based methodologies. If-then methods to select the best rules for target language in translation, Probability based appropriate word ...
Keerthi Lingam +2 more
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Rule Based and Expectation Maximization algorithm for Arabic-English Hybrid Machine Translation [PDF]
, 2016 It is practically impossible for pure machine translation approach to process all of translation problems; however, Rule Based Machine Translation and Statistical Machine translation (RBMT and SMT) use different architectures for performing translation ...
Arwa Alqudsi +2 more
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Natural language processing of electronic health records for early detection of cognitive decline: a systematic review [PDF]
npj Digital MedicineThis systematic review evaluated natural language processing (NLP) approaches for detecting cognitive impairment in electronic health record clinical notes.
Ravi Shankar +2 more
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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
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Rule-Based Machine Translation from Tunisian Dialect to Modern Standard Arabic
International Conference on Knowledge-Based Intelligent Information & Engineering Systems, 2020 Mohamed Ali Sghaier, Mounir Zrigui
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Otedama: Fast Rule-Based Pre-Ordering for Machine Translation [PDF]
The Prague Bulletin of Mathematical Linguistics, 2016 Abstract We present Otedama, a fast, open-source tool for rule-based syntactic pre-ordering, a well established technique in statistical machine translation. Otedama implements both a learner for pre-ordering rules, as well as a component for applying these rules to parsed sentences. Our system is compatible with several external parsers and capable of
Julian Hitschler +5 more
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Rule-based machine translation from Kazakh to Turkish [PDF]
, 2018 This paper presents a shallow-transfer machine translation (MT) system for translating from Kazakh to Turkish. Background on the differences between the languages is presented, followed by how the system was designed to handle some of these differences. The system is based on the Apertium free/open-source machine translation platform.
Bayatli, S. +4 more
openaire +3 more sources