translation, whose first traces date back at least to 3000 bc (newmark, 1988), has always been considered time-consuming and labor-consuming. in view of this, experts have made numerous efforts to develop some mechanical systems which can reduce part of this time and labor. the advancement of computers in the second half of the twentieth century paved the ground for the invention of machine tra...

The present research analyses the performance of two free open-source neural machine translation (NMT) systems —Google Translate and DeepL— in (ES>EN) somatisms such as tomar el pelo meter la pata, their nominal variants (tomadura/tomada de metedura/metida pata), other lower-frequency pata hasta corvejón, gamba gamba. outcomes will be contrasted classified depending on whether these idioms a...

Google Translate provides a multilingual machinetranslation service by automatically translating one written language to another. Google translate is allegedly limited in its accuracy in translation, however. This study investigated the accuracy of Google Chinese-to-English translation from the perspectives of formality and cohesion with two comparisons: Google translation with human expert tra...

This document is the translation to English of my undergraduate research thesis, which was originally written in Catalan. At that point, writing it in Catalan seemed like a good idea but, eventually, I realized it was a very bad idea. This translation has been done automatically using Google Translate, so do not expect Shakespeare’s English. Actually, it is quite terrible, but I am trying to ma...

Analysing the translation errors is a task that can help us finding and describing translation problems in greater detail, but can also suggest where the automatic engines should be improved. Having these aims in mind we have created a corpus composed of 150 sentences, 50 from the TAP magazine, 50 from a TED talk and the other 50 from the from the TREC collection of factoid questions. We have a...

Past research has shown that various types of computer assistance can reduce translation effort and improve translation quality over manual translation. This paper directly compares two common assistance types – selection from lists of translation options, and postediting of machine translation (MT) output produced by Google Translate – across two significantly different subject domains for Chi...

This paper proposes an example driven approach to improve the quality of MT system outputs. Specifically, We extend the system combination method in SMT to combine the examples by two strategies: 1) estimating the confidence of examples by the similarity between source input and the source part of examples; 2) approximating target word posterior probability by the word alignments of the bilingu...

The primary task of language translation is to faithfully pass the meaning(s) of the source text to the target language. Unfortunately, meanings often get lost or distorted in machine translation, including state-of-the-art Google Translate and Baidu Translate. Yes Translate is a Chinese-English translation tool to be maximally loyal to the source text while maintaining adequate fluency. This i...

This paper describes the THUNLP system submitted to Entity Linking task of KBP Track in TAC 2013. This system achieves the third place with a B-cubed+ F1 score of 0.712 in mono-lingual entity linking task. In Chinese cross-lingual entity linking, this system achieved B-cubed+ F1 score of 0.647 with the help of Google Translate.