不爲也 比不能也

Most of the stemmers available in Elasticsearch are algorithmic in that they apply a series of rules to a word in order to reduce it to its root form, such as stripping the final s or es from plurals. They don’t have to know anything about individual words in order to stem them.Elasticsearch에서 이용할 수 있는 대부분의 형태소 분석기는, 단어를 원형으로 축소하기 위해, 복수형에서 마지막의 s 나 es 를 떼어내는 것 같은, 일련의 규칙을 적용하는 알고리즘이다. 형태소 분석을 위..

Out-of-the-box stemming solutions are never perfect. Algorithmic stemmers, especially, will blithely apply their rules to any words they encounter, perhaps conflating words that you would prefer to keep separate. Maybe, for your use case, it is important to keep skies and skiing as distinct words rather than stemming them both down to ski (as would happen with the english analyzer).내장된 형태소 분석기는 ..