Example Search - Kanshudo

Kanshudo Component Builder

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Draw a component:

Type a component or its name:

Choose from a list:

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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

Not finding your component?

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

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Components

75 examples found containing '今頃' (results also include variant forms and possible homonyms)

あの

が

で

ななかったら、

だいがくせい

になっているだろう。

If my boy had not been killed in the traffic accident, he would be a college student now.

は

の

ごろはロンドンにいるだろう。

He will be in London at this time tomorrow.

は

ごろはニューヨークに

いているはずなのだが。

He ought to have arrived in New York about this time.

の

らは

せんしゅけん

を

っているところだろう。

They will be fighting for the championship this time tomorrow.

は

ごろニューヨークに

いているはずなのに

してるんだ。

He ought to have arrived in New York by now.

は、

ごろは、そちらに

いているでしょう。

She will be there by now.

は

てにならない。

The weather is uncertain at this time of year.

の

に

とざんちゅう

でしょう。

About this time tomorrow, we'll be climbing Mt. Fuji.

は

に

しゅっぱつ

したので、

についているはずだ。

The train left at ten, so it should have arrived in Osaka by now.

の

たいへいよう

の

を

んでいることでしょう。

I will be flying over the Pacific about this time tomorrow.

は

ごろはニューヨークに

いているはずなのに。

He ought to have arrived in New York by now.

の

わたしたち

は

に

べんきょう

しているでしょう。

We will be studying very hard this time next year.

この

そらもよう

では、おそらく

の

が

をふるっているだろう。

From the look of the sky, the typhoon will probably be raging in all its fury about this time tomorrow.

もしあの

にまにあっていたならば、

ごろあちらに

いているでしょう。

If I had been in time for the train, I would be there now.

の

ごろはパリの

をしているでしょう。

We'll be seeing the sights of Paris about this time tomorrow.

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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