Multilingual & low-resource
Parallel corpora, multilingual knowledge bases, Europe's language technology and the languages that most NLP still leaves behind.
- Language Technology in Europe: 24 Official Languages and the Digital Divide
How Europe approaches language technology for its 24 official languages and many regional ones: the warnings of the META-NET white papers, the European Parliament's call for language equality, the European Language Grid, eTranslation, data collection and how to find EU-funded NLP research on CORDIS.
- Low-Resource Languages in NLP: What "Low-Resource" Means and What Works
Why most of the world's languages are poorly served by language technology, how researchers classify resource levels, the problems with web-crawled data for small languages, and the methods and community-led projects that are changing the picture.
- Machine Translation for Tenants Moving Abroad: What Works and What to Check
A practical, research-based guide for people renting a home in another country with the help of machine translation: what translation tools handle well in listings and leases, where they fail (rental jargon, false friends, numbers, legal terms), how to check key clauses, and how to protect your personal data.
- Multilingual Lexical Knowledge Bases: WordNets, BabelNet and Wikidata Explained
How lexical knowledge bases link words and meanings across languages: Princeton WordNet, EuroWordNet and the Open Multilingual Wordnet, BabelNet, Wikidata and ConceptNet, what they are used for in NLP, their licences and their blind spots.
- Parallel Corpora: How Translated Text Trains Machine Translation
What parallel corpora are, how sentences are aligned, the landmark collections from the Canadian Hansard and Europarl to EU translation memories, OPUS and ParaCrawl, how bitext is mined from the web, and the quality and translationese problems to watch for.
