Search Results for author:
Found 12 papers, 2 papers with code
On nature and causes of observed MT errors
This work describes analysis of nature and causes of MT errors observed by different evaluators under guidance of different quality criteria: adequacy and comprehension and and a not specified generic mixture of adequacy and fluency.
QRev: Machine Translation of User Reviews: What Influences the Translation Quality?
This project aims to identify the important aspects of translation quality of user reviews which will represent a starting point for developing better automatic MT metrics and challenge test sets, and will be also helpful for developing MT systems for this genre.
On the differences between human translations
Many studies have confirmed that translated texts exhibit different features than texts originally written in the given language.
Building Machine Translation System for Software Product Descriptions Using Domain-specific Sub-corpora Extraction
Moreover, we developed a first-ever test parallel data set of product descriptions.
Generating Gender Augmented Data for NLP
The method can be applied both for creating gender balanced outputs as well as for creating gender balanced training data.
Facilitating Access to Multilingual COVID-19 Information via Neural Machine Translation
Every day, more people are becoming infected and dying from exposure to COVID-19.
Combining SMT and NMT Back-Translated Data for Efficient NMT
Neural Machine Translation (NMT) models achieve their best performance when large sets of parallel data are used for training.
