This paper presents the results of the WMT16 shared tasks, which included five machine
translation (MT) tasks (standard news, IT-domain, biomedical, multimodal, pronoun), three …

This paper presents the results of the WMT14 shared tasks, which included a standard news
translation task, a separate medical translation task, a task for run-time estimation of …

Many applications within natural language processing involve performing text-to-text
transformations, ie, given a text in natural language as input, systems are required to …

Translation quality estimation is a task of growing importance in NLP, due to its potential to
reduce post-editing human effort in disruptive ways. However, this potential is currently …

In the first part of the article, we recall our general theory of linguistic channels—based on
regression lines between deep language parameters—and study their capacity and …

The purpose of the paper is to extend the general theory of translation to texts written in the
same language and show some possible applications. The main result shows that the …

The statistical theory of language translation is used to compare how a literary character
speaks to different audiences by diversifying two important linguistic communication …

We present Marmot~―a new toolkit for quality estimation (QE) of machine translation output.
Marmot contains utilities targeted at quality estimation at the word and phrase level …

We studied two fundamental linguistic channels—the sentences and the interpunctions
channels—and showed they can reveal deeper connections between texts. The applied …

机器翻译译文质量估计(QualityEstimation, QE) 是指在不需要人工参考译文的条件下,
估计机器翻译系统产生的译文的质量, 对机器翻译研究和应用具有很重要的价值 …