… size monolingual corpus could be difficult for some low-resource languages, we constrain
… the source and target languages in the translation after the CPT, we evaluate the models in …

… In Section 6 we present evaluation results. We first find that the … The MT of low-resource
languages or dialects has been studied … The METIS-II EU project replaced the need for parallel …

… Amount of training data It performs well for high-resource languages as compared to low-resources
languages as its learning depends on the amount of training data. NMT systems …

… low-resource language which poses unique challenges and trade-offs for reliable machine
translation… lookup, morphological, analysis, and translation between English and Yup’ik) and …

… for translating from Persian to Spanish, as a language pair with … machine translation system,
which is available for this … systems was measured using the standard BLEU evaluation …

… for improving machine translation for lowresource languages. … depend on language-specific
resources (as in METIS-II). Other … , we evaluate all the machine translation systems using the …

… This review leads to the concept of the proposed MT methodology. … in a given language,
in the individual’s native language. A number of automatic translation systems are available …

… The present chapter reviews the development of a hybrid Machine Translation (MT)
methodology, which is readily portable to new language pairs. This MT methodology (which has …

… the three different stages of the MT system ie analysis, transfer and generation. Rule based
… MT systems for various Indian languages. METIS-II MT system is a Hybrid system this system …

… machine translation builds on the research on both machine … metrics in the source and target
language. We measure the … with the evaluation score of the suggested translation to find out …