English-Chinese Bilingual Teaching: A DECTMT-NBO-DMSFNN Approach for Design and Application of Machine Translation Technology

Yuwei Wang

#English #chinese #translation #text #language #communication #teaching #bilingual #vocabulary #learning #phrase

Improvement of Translation Accuracy for the Word Sense Disambiguation System using Novel Classifier Approach

Ajith Abraham,Bineet Kumar Gupta,Satya Bhushan Verma,Archana Sachindeo Maurya,Mohammad Husain,Arshad Ali,Sami Alshmrany,Sanjay Gupta

#Bayes theorem #machine learning #machine translation #naïve bayes classification #supervised approach #unsupervised approach #and word sense disambiguation

Thillai Sivakavi S,Minu R I

#Sign language production #Roberta morpho syntactic analysis #sign language production network

Aseel Alfaidi,Hajer Alwadei,Areej Alshutayri,Shahd Alahdal

#Dialect arabic tweets #POS #POS tagging #MSA tagger #farasa tagger #CAMeL tagger

Abstract: Rule based machine translation system embraces a set of grammar rules which are mandatory for the mapping of

#Machine translation # stemmer # PoS tagging # grammar rules # homoeopathy # corpus

#IR # stemming # prefix # infix # suffix # exception list s

Zobia Rehman and Waqas Anwar

# Sentence boundary disambiguation # unigram model

Faculty of Sciences of Monastir, University of Monastir, Tunisia

#NER # named entity translation # parallel Arabic-English lexicon # DBpedia # linked data entities # parallel corpus # SMT

Abstract: The quality of machine translation systems decreases considerably when dealing with long sentences. In this paper,

#Machine translation # transfer-based approach # noun phrases # sentence partitioning

Zobia Rehman and Waqas Anwar

# Sentence boundary disambiguation # unigram model

Languages (MT-Turk)

#Rule-based machine translation # Turkic languages # semi-language specific interlingua and disambiguation by suggestions

Artificial Neural Network

#Machine translation # artificial neural network # english # hindi # urdu