Search results
Python 0.6%. Data and code used to produce the analyses in the paper "Assessing gender bias in machine translation: a case study with Google Translate" (Neural Computing and Applications 2019). The goal of this paper was to measure the extent of gender bias in Google Translate.
18 sie 2021 · In particular, we 1) offer a unified framework that introduces the concepts, sources, and effects of bias in MT, clarified in light of relevant notions on the relation between gender and different languages; and 2) critically discuss the state of the research by identifying blind spots and key challenges.
A tool for translating text from source grammar to target grammar (context-free) with corresponding dictionary. Why not translate it yourself when Google Translate cannot satisfy you . ⚙️ Installation. pip install urbans. What is good about urbans?
20 sty 2022 · Natural Language Toolkit (NLTK) is a platform used for building programs for text analysis. We can observe that male and female names have some distinctive characteristics. Names ending in a, e and i are likely to be female, while names ending in k, o, r, s and t are likely to be male.
1 Introduction. Interest in understanding, assessing, and mitigating gender bias is steadily growing within the natu-ral language processing (NLP) community, with recent studies showing how gender disparities af-fect language technologies.
1 sty 2022 · In this paper, we present a case study of Google Translate 1, a widely used machine translation tool. We examine the bias of Google Translate by treating it as a black box. We focused on its translation results to detect and measure the bias of the system.
24 lis 2022 · Using the Googletrans Python module, you can build your own basic translator with just a few lines of code. What Is Googletrans? Googletrans is a module that uses the Google Translate API to detect and translate sentences from one language to another.
