“Our experiments showed that most open source stemmers resulted in either too many bad results from over-stemming (low precision) or too many missing results (low recall) compared to a lemmatizer. Rosette allowed us to optimize the balance between precision and recall to provide a superior experience for our customers’ searches.”

“With the introduction of the Base Linguistics Chinese module, our ‘Mieruka Engine’ could meet the needs of these companies in a timely manner, making it possible for them to appropriately analyze the needs of the Chinese market, and further grow sales of Japanese products in the Chinese market."