Example Search - Kanshudo

Kanshudo Component Builder

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Draw a component:

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By default the Component Builder shows the most common Joyo kanji components (ie, components which are themselves Joyo kanji, or which are used in at least 3 other Joyo kanji). Select an alternative set of components below.

Most common Joyo kanji components
Standard radicals (and their variants)
All components and radicals

For details of all components and their English names, see the Component collections.

Kanshudo Component Builder Help

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For detailed instructions, see the Component builder how to guide.

To find any kanji, first try to identify the components it is made up of. Once you have identified any component, search for it in any of three ways:

Draw it in the drawing area
Type the name in the text area
Look for it in the list

Example: look up 漢

Notice that 漢 is made of several components: 氵艹口夫
Draw any of these components (one at a time) in the drawing area, and select it when you see it
Alternatively, look for a component in the list. 氵艹口 each have three strokes; 夫 has four strokes
If you know the meanings of the components, type any of them in the text area: water (氵), grass (艹), mouth (口) or husband (夫)
Keep adding components until you can see your kanji in the list of matches that appears near the top.

Kanshudo Component Builder Drawing Help

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The Kanshudo Component Builder can recognize any of the 416 components listed in the chart below the drawing area. Tips:

Draw a component in the center of the area, as large as you can
Try to draw the component as it appears in the kanji you're looking up
Don't worry about stroke order or number of strokes
Don't draw more than one component at a time

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If you believe you've drawn your component correctly but the system is not recognizing it, please:

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Components

14351 examples found containing '女'

ルミは

ちょうじょ

です。

Rumi is the first daughter.

は

に

いにきた。

She came to see me.

は

を

い

たせた。

She kept me waiting for a long time.

４０

は１８

です。

The class of forty includes eighteen girls.

しかったろうに、

は

に

た。

Busy as she was, she came to see me.

どの

しょうじょ

もその

を

っている。

Every girl knows that singer.

は

にきた。

She came last.

は

にせんさつ

を

っている。

She has two thousand books.

それが

がおくれたりゆうだ。

That accounts for her delay.

はちょっとの

も

まない。

She does not take a rest for an instant.

は

い

を

っていた。

She stood waiting for me for a long time.

は

い

でした。

She was ill for a long time.

は

に

う。

I think I'd like to see her.

は

に

きたがっている。

She is anxious to go abroad.

は

を

い

たせた。

She kept him waiting for a long time.

は

った。

She sang as she walked.

この

は

が

い。

There are more girls than boys in this school.

は

にはディールに

んでいません。

She doesn't actually live in Deal.

い

のあの

しょうじょ

はジュディさんです。

That girl whose hair is long is Judy.

は

に

く

です。

She is going to Mount Tate.

はその

しょうじょ

を

ました。

The other day I saw the girl.

を

しょうじょ

はケートだ。

The girl reading a book is Kate.

はそれがもっともきらいだ。

She likes it least of all.

は

が

きいです。

She has big eyes.

ちょうじょ

は

べるのが

きです。

My elder sister loves to eat.

の

がおかしいです。

Her appearance is odd.

は

が

になった。

Her work became easier.

かわいそうにその

しょうじょ

は

にかかっていた。

The poor girl was on the point of death.

が

にはいるのを

た。

I saw her enter the room.

はただの

ではないですよ。

She’s no ordinary student.

Kanshudo is your AI Japanese tutor, and your constant companion on the road to mastery of the Japanese language. To get started learning Japanese, just follow the study recommendations on your Dashboard. You can use Quick search (accessible using the icon at the top of every page) to look up any Japanese word, kanji or grammar point, as well as to find anything on Kanshudo quickly. For an overview, take the tour.

Search results include information from a variety of sources, including Kanshudo (kanji mnemonics, kanji readings, kanji components, vocab and name frequency data, grammar points, examples), JMdict (vocabulary), Tatoeba (examples), Enamdict (names), KanjiVG (kanji animations and stroke order), and Joy o' Kanji (kanji and radical synopses). Translations provided by Google's Neural Machine Translation engine. For more information see credits.

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