Analytical Linguist Opportunity
To be as helpful as possible to those in the fields of taxonomy, indexing, semantic technology, ontology, etc., we are sharing career opportunities that we find with our […]
Machine Learning and Language
The meaning of words can often be ambiguous, especially to those whose first language is not English. This also can pose a challenge with […]
Emerging Technologies in Everyday Life
Terms like artificial intelligence (AI), machine learning and natural language processing (NLP) are more common than ever before. But how many people actually know […]
The Power of Language
Climate change is a popular topic. No, wait. It isn’t popular, but it is frequent. Unfortunately there is much disagreement around climate change from […]
Addressing Language Ambiguity
Making sense of text information is becoming a key asset for businesses. The ability to automate repetitive, cognitive tasks is crucial to improving efficiency and […]
Ontology Used to Provide Consistency
An international team of researchers has set out a proposal for new guidelines on cross-linguistic data formats, in order to facilitate sharing and data […]
New and Trendy Words Added to Scrabble Game
For those hard core Scrabble players or bibliophiles, the maker of the iconic word game, Hasbro Inc., has added 300 new words to boost […]
Multilingual UDC Summary Shows Progress
The Multilingua Universal Decimal Classification Summary project, containing an abridged schedule of over 2000 classes with notes and examples, continues to progress with 40 languages online, some completely translated and others in various stages of translation.
The Demise of Grammar at the Hands of Technology
Texting may be faster, more efficient and mostly gets the job done. But the slippery slope of bad grammar we have taken from emails to texting has taken away all quality of writing and content. Using the smallest number of letters to get your message across does not equal writing.
Natural Language Processing Changes Language
New software system addresses the lack of language process systems for non-English electronic resources. Data mining with more accurate translation helps for computational processing of documents.