This paper presents a systematic human evaluation of translations of English support verb constructions produced by a rule-based machine translation (RBMT) system (OpenLogos) and a statistical machine translation (SMT) system (Google Translate) for five languages: French, German, Italian, Portuguese and Spanish. We classify support verb constructions by means of their syntactic structure and se...

In this paper, we have reported our survey on systems and projects that intend to translate between English and Indian languages. Most of the translators and projects aim to translate from English to more than one Indian languages. The main challenge is due to the fact that Indian languages are quite different from European languages. In this paper, we have explored the following the following ...

This paper introduces a novel method to predict when Google translation is better than other machine translations (MT) in Dutch. Instead of considering fidelity, this approach considers fluency and readability indicators for ranked best. research explores an alternative the field quality estimation. The contributes by publishing dataset with sentences from English Dutch, human-made classificati...

In this paper, we evaluate the translation of negation both automatically and manually, in English–German (EN–DE) English– Chinese (EN–ZH). We show that ability neural machine (NMT) models to translate has improved with deeper more advanced networks, although performance varies between language pairs directions. The accuracy manual evaluation EN?DE, DE?EN, EN?ZH, ZH?EN is 95.7%, 94.8%, 93.4%, 9...

BACKGROUND Chinese is the second most common language spoken by limited English proficiency individuals in the United States, yet there are few public health materials available in Chinese. Previous studies have indicated that use of machine translation plus postediting by bilingual translators generated quality translations in a lower time and at a lower cost than human translations. OBJECTI...

In this study, a human evaluation is carried out on how hyperparameter settings impact the quality of Transformer-based Neural Machine Translation (NMT) for low-resourced English–Irish pair. SentencePiece models using both Byte Pair Encoding (BPE) and unigram approaches were appraised. Variations in model architectures included modifying number layers, evaluating optimal heads attention testing...

Recently, the development of neural machine translation (NMT) has significantly improved the translation quality of automatic machine translation. While most sentences are more accurate and fluent than translations by statistical machine translation (SMT)-based systems, in some cases, the NMT system produces translations that have a completely different meaning. This is especially the case when...