One more consideration is that the reading of a kanji depends on whether it appears alone or with other characters. In this case, converting the input "けんs" to romaji ( kens-) provides the stem necessary to offer these autocomplete suggestions. For example, for the query "けんs" ( kens-), autocomplete suggestions should include words such as "検索" ( kensaku) and "検査" ( kensa). Typically, when typing in Japanese, the user will input letters of the alphabet ( romaji), which convert to kana and then to kanji as the user continues to type - for example, typing k and then e will result in the kana character け, which is pronounced “ke.” When implementing autocomplete, it is necessary to consider incomplete input that has not successfully converted to kana during typing. Therefore, when implementing autocomplete, it is necessary to consider the reading of a kanji as well as the kanji character itself. A single kanji can have several different readings, or pronunciations. The Japanese writing system is made up of two syllabaries, hiragana and katakana (known collectively as kana), as well as logographic Chinese characters called kanji. This means that, to split a Japanese sentence into individual words, morphological analysis is required. However, in Japanese, individual words are not separated with whitespace. In most European languages, including English, words are separated with whitespace, which makes it easy to divide a sentence into words. Word breaks don’t depend on whitespaceĪ word break analyzer is required to implement autocomplete suggestions. Several factors make the implementation of autocomplete for Japanese more difficult than English. In this example, the keyword is "日本" (Japan). Here is a typical list of autocomplete suggestions from Google. What’s different about autocomplete in Japanese? In this blog, we’ll explore the challenges of implementing autocomplete in Japanese and demonstrate some ways you can overcome these challenges in Elasticsearch. However, autocomplete can be difficult to implement in some languages, which is the case with Japanese. Autocomplete suggestions are an important part of a great search experience.
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