[PDF] Top 20 An Analysis of Indonesian Language for Interlingual Machine Translation System

... An Analysis of Indonesian Language for Interlingual Machine Translation System An Analysis of Indonesian Language for Interlingual Machine Translation System Hammam R Yusuf* Computer Science Departmen[.] ... See full document

... Learning Indonesian in elementary schools can help students get to know themselves, their culture and other cultures, express ideas, participate in society, and discover and use the analytical and imaginative ... See full document

... statistical language model - based on the inte- gration of stochastic and symbolic approaches - to be used for analysis stage in the machine transla- tion ...stochastic language model, it is ... See full document

... particular system. From the viewpoint of error analysis, if we train a discriminative LM using n-gram features and examine the weights learned by this model, n -grams with large negative or positive weights ... See full document

... Mikel Artetxe et.al [9] completely removed the need of parallel data and provided a novel method to train an NMT system in a unsupervised manner, relying only on monolingual corpora. Their recent work on ... See full document

... the translation of Sumerian cuneiform text. Neural Machine Translation (NMT) (Bah- danau et ...various language pairs in the past few years, with success- ful applications for translating ... See full document

... Rule based MT methodologies can be broadly classified as direct, transfer and Interlingua [9]. In direct methodology, there are no intermediate stages in the translation. It doesn’t use any complex rules or ... See full document

... error analysis by reviewing the translation outputs from our ...the translation errors were due to the mistakes and gaps in our ...provide analysis for a unknown derived wordform even if the ... See full document

... the translation a source sentence is chosen to ...steps: language model building, transliteration model training, weight tuning, and ...transliteration system based on corpus approach. In this ... See full document

... for language documentation and description has never been standardised, but there is general agreement that it involves at least the following activities: (a) recording communicative events; (b) transcribing and ... See full document

... official language of the country. In- donesian is the fourth most spoken language in the world with approximately 230 million speakers in- cluding its 30 million native ...fact, Indonesian is an ... See full document

... Neural machine translation (NMT) has become the state-of-the-art method in the research area of machine translation (MT) in the past few years (Bojar et ...robust translation model ... See full document

... any language in the world, automatic normalization of words is a basic linguistic resource required to develop any type of application in Natural Language Processing (NLP) [1] with high accuracy like: ... See full document

... a translation system between MSA TDA verbal ...the translation process over the deep morphological representations of roots and patterns, commonly used to model Semitic ...the translation ... See full document

... The language specific Multiword expressions (MWEs) play important roles in many natural language processing (NLP) ...Statistical Machine Translation (PBSMT) to improve translation ... See full document

... Natural language processing is a field that lies at the intersection between artificial intelligence and ...natural language and hence derive meaning from natural language ...on language ... See full document

... cache-based translation model seem to be similar to the balance between precision and recall in information ...in translation relation in the ...in translation rela- tion in the ... See full document

... Indian Sign Language (ISL) is a visual-spatial lan- guage which provides linguistic information using hands, arms, face, and head/body postures. A sign is a sequential or parallel construction of its man- ual and ... See full document

... Mapping phrases between languages as translation of each other by using an intermediate language (pivot language) may generate translation pairs that are wrong. Since a word or a phrase has ... See full document

... The OpenNMT toolkit was used to develop the NMT systems. The training was done on two lay- ers of LSTM network with 500 hidden units at both, the encoder and decoder models for 1,00,000 epochs. The variability of the ... See full document