Rule-based Syntactic Preprocessing for Syntax-based Machine Translation [PDF]
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.
Satoshi Nakamura+4 more
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Inflection rules for Marathi to English in rule based machine translation
Machine translation is important application in natural language processing. Machine translation means translation from source language to target language to save the meaning of the sentence. A large amount of research is going on in the area of machine translation.
Namrata G. Kharate, Varsha H. Patil
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LLM-Assisted Rule Based Machine Translation for Low/No-Resource Languages [PDF]
We propose a new paradigm for machine translation that is particularly useful for no-resource languages (those without any publicly available bilingual or monolingual corpora): LLM-RBMT (LLM-Assisted Rule Based Machine Translation). Using the LLM-RBMT paradigm, we design the first language education/revitalization-oriented machine translator for Owens ...
Coleman, Jared+3 more
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Rule Based Case Transfer in Tamil-Malayalam Machine Translation
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.
Sobha Lalitha Devi, S. Lakshmi
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Natural language processing of electronic health records for early detection of cognitive decline: a systematic review. [PDF]
This systematic review evaluated natural language processing (NLP) approaches for detecting cognitive impairment in electronic health record clinical notes.
Shankar R, Bundele A, Mukhopadhyay A.
europepmc +2 more sources
English to Creole and Creole to English Rule Based Machine Translation System [PDF]
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 ...
Arvind Kumar Ruchpaul+2 more
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Transmuter: An Approach to Rule-based English to Marathi Machine Translation
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 ...
Harshad Kulkarni, G V Garje, G K Kharate
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English to Telugu Rule based Machine Translation System: A Hybrid Approach
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 selection for a given sentence and rough sets to classify a given sentence are the approaches used in ...
Srujana Inturi+2 more
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Challenges in Rule Based Machine Translation from Marathi to English
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. Perfect Machine Translation Systems have not yet been fully built because the fact that languages differ ...
Namrata G Kharate, Varsha H. Patil
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Otedama: Fast Rule-Based Pre-Ordering for Machine Translation [PDF]
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
Sariya Karimova+6 more
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