Şölen Aslan
Şölen Aslan

Şölen is the Head of Digital Marketing at TAUS where she leads digital growth strategies with a focus on generating compelling results via search engine optimization, effective inbound content and social media with over seven years of experience in related fields. She holds BAs in Translation Studies and Brand Communication from Istanbul University in addition to an MA in European Studies: Identity and Integration from the University of Amsterdam. After gaining experience as a transcreator for marketing content, she worked in business development for a mobile app and content marketing before joining TAUS in 2017. She believes in keeping up with modern digital trends and the power of engaging content. She also writes regularly for the TAUS Blog/Reports and manages several social media accounts she created on topics of personal interest with over 100K followers.

icons-action-calendar25 Oct 2022
Notes from the TAUS Massively Multilingual Conference 2022
icons-action-calendar19 Sep 2022
ING Hubs Poland found out that training with TAUS datasets improves the number of perfect translations by 15%, and with 95% precision, it was seen that all translations generated through the MTengine trained by TAUS datasets will always be better.
icons-action-calendar8 Jun 2022
The TAUS DEMT™️ Evaluation Report 2022 looks at the performance of DEMT™️ in comparison to to other major MT engines
icons-action-calendar8 Jun 2022
TAUS is proud to be recognized by Gartner as one of the seventeen representative vendors for their AI-Enabled Translation Services 2022 Market Guide
icons-action-calendar3 Mar 2022
Natural Language Technologies are on the rise: making optimal use of NLT and its subcategories is crucial to remain up-to-date with the latest AI solutions
icons-action-calendar16 Feb 2022
TAUS lists datasets for MT customization and offers for data creation, data annotation, and relevant NLP services for AWS customers through the AWS Marketplace.
icons-action-calendar1 Feb 2022
The challenge of MT training in a narrow domain can be overcome with high-quality, strictly domain-specific training data. Custom MT has observed a 19% increase in MT quality scores after training with TAUS training datasets.
icons-action-calendar19 Jan 2022
TAUS Data-Enhanced Machine Translation provides a one-click solution to customized MT, powered by Amazon Translate and enhanced by TAUS Data.
icons-action-calendar1 Dec 2021
Which language data for AI trends you should expect to rise in 2022: expansion of multilingual AI data and models, more companies joining the data market, data diversity and lifelong learning machines.
icons-action-calendar7 Oct 2021
TAUS provides test datasets for Intento's State of MT 2021 Report.
icons-action-calendar14 Sep 2021
Lexicala has emerged from the publishing world, as a provider of quality lexicographic content for leading dictionary publishers worldwide, and joined the TAUS Data Marketplace as a language data seller.
icons-action-calendar22 Jun 2021
TAUS provided language data for Pangeanic to train their machine translation models and improve their adaptive MT outputs for the COVID-19, pandemic and healthcare domain.
icons-action-calendar14 May 2021
See how a medical doctor trying to break the linguistic monoculture in academia as a student ended up creating a dataset of medical glossaries and translation memories that brings about a 90% BLEU score improvement for the English and Arabic language pair.
icons-action-calendar3 May 2021
The strategic partnership between TAUS and SYSTRAN offers solutions to strengthen domain-specific machine translation training.
icons-action-calendar26 Apr 2021
The partnership between TAUS and Intento combines high-quality, domain-specific language data with advanced MT training models.
icons-action-calendar22 Apr 2021
See how a niche data provider makes use of the promotional opportunity TAUS Data Marketplace creates to reach large data buyers.
icons-action-calendar12 Apr 2021
TAUS formed a community of 200+ contributors based on their product affinity in various product categories for data annotation in several European languages for a global e-commerce corporation.
icons-action-calendar22 Mar 2021
Defining data bias and the list of common types of data bias in ML: selection bias, overfitting/underfitting, outliers, measurement bias, recall bias, observer bias, exclusion bias, racial bias, and association bias.
icons-action-calendar23 Feb 2021
Five AI trends in 2021 that will have a powerful impact on the available technologies: vokenization, data monetization, Deep Reinforcement Learning (DRL), Automated Narrative Text Generation, and Data Science as a Service (DSaaS).
icons-action-calendar19 Feb 2021
After the training with the TAUS datasets in the pandemic domain, the SYSTRAN engines improved on average 18% across all twelve language pairs compared to the baseline engines.