Browsing Category : Machine translation

machine translation / maschinelle Übersetzung

Machine translation for all (medical) cases – project report

The MT train in our pharmaceutical customer project has really taken off! After a scoping phase followed by the selection of the appropriate system for the customer's use cases, everything now revolves around the integration and training of MT engines. Current and future MT engines are of interest to various customer stakeholders, so the topic of MT testing plays a major role even after system selection. Here we give you an insight into the MT processes supported by blc at the customer.
Automated analysis of product features in online reviews – Part 1

Automated analysis of product features in online reviews – Part 1

Large providers such as Amazon and Google often use online reviews in text form. In these, users can express their opinion or experience of a product or service. There are now many such reviews and the structure of a review is entirely up to the user. In my bachelor thesis, I took a closer look at a subarea of this research, the Aspect Based Sentiment Analysis. Read more about this in my blog...

Don’t stumble blindly into machine translation!

Don’t stumble blindly into machine translation!

Machine translation (MT) seems ingenious: fantastic translation results, available to all thanks to neural MT - fast, uncomplicated and seemingly free of charge! All good reasons why companies are rushing to embrace machine translation (MT). Now is the time to form a solid strategy on how, why and with what benefit they want to use machine translation!
The Power of Regular Expressions for Clever Sloths

The Power of Regular Expressions for Clever Sloths

First of all, regular what? Regular expressions are based on a formal language that is used to specify patterns for matching strings or sub-strings in text. In order to find simple information in a text file, many people still use search functions available in any up-to-date editor. But what if your search scenario is not so simple? What if you are looking not for one specific digit, for example, but for all digits in your text file? Or what if you want to find and remove all tags from your document? Good news! You not have to be a programmer to do all that stuff. You simply need a wee bit of knowledge about regular expressions and a clear picture of what you are looking for in your text file. Today’s blog will give you an idea about regular expressions and after reading it you will be ready to write your first regular expression, promise!