How to read news in Japanese as a beginner

Japanese news is hard for beginners: kanji, no spaces, formal style. A step-by-step way to start, from easy news with furigana to real outlets, and the tools that help.

By ContextCat · Updated · 3 min read

The short answer: start with news written for learners, such as NHK News Web Easy, which has simpler sentences, furigana over the kanji and audio. Read one short article a day, look up every word that blocks the sentence, and review those words. When easy news feels routine, move to regular outlets one article at a time, with a tool that explains words in place so a page full of kanji does not stop you.

Why Japanese news is hard at first

  • Kanji. News uses a lot of them, often without furigana. A word you know by ear can be unreadable on the page.
  • No spaces. You have to work out where one word ends and the next begins before you can look it up.
  • News style. Headlines drop particles and verbs, and articles use formal written vocabulary you rarely hear in conversation, such as 〜とみられる or 〜に向けて.

None of this means you need to wait years. It means the first months need the right material and the right help.

Step 1: easy news

NHK News Web Easy rewrites a few news stories each day in simpler Japanese, with furigana you can turn off and recorded audio. The topics are real news, so you learn the vocabulary of the news, just with easier grammar.

Read the whole article once without stopping. Then read it again and look up what blocked you. Listen to the audio last. Ten minutes a day of this beats an hour once a week.

Step 2: learn the news words

A small set of words turns up in almost every article: 政府 (government), 発表 (announcement), 調査 (survey), 影響 (effect), 予定 (plan), 増加 (increase), 対策 (measures). Each one you know lowers the share of unknown words on every page. Save the words you look up and review them in the sentence you found them in, not as a bare list.

Step 3: regular news, one article at a time

When easy news feels comfortable, try one regular article a day on a topic you already know from the news in your own language. Knowing the story lets you guess more and look up less. Technology and culture pieces are often easier than politics.

Expect to look up a lot at first. That is fine as long as each lookup is quick.

Tools that make it easier

A paper dictionary or a separate dictionary app makes each lookup slow: copy the word, work out where it ends, choose between meanings. A reader that explains words in place keeps you in the article.

ContextCat cuts Japanese text into words on your iPhone, so a tap lands on 待って or 発表, not half a word. The note under the sentence explains what the word means there, in your own language, and the word comes back later for review. Today has headlines from Japanese outlets such as CNN.co.jp, ITmedia NEWS and GIGAZINE. These are written for native readers, so pair them with NHK News Web Easy in your browser while easy news is still your level.

A four-week start

  • Week 1: one NHK News Web Easy article a day, read twice, listened to once.
  • Week 2: keep going, and start saving and reviewing the words you look up.
  • Week 3: add one regular article a week on a topic you know.
  • Week 4: two or three regular articles a week. Notice how many of the news words you now recognise.

Questions

What level do I need to read Japanese news?

Easy-news sites written for learners are within reach around JLPT N4 to N3, once you know hiragana, katakana and a few hundred kanji. Regular news is closer to N2 and above, though with good word help you can start earlier.

Is NHK News Web Easy good for beginners?

Yes. It rewrites news in simpler Japanese, adds furigana over kanji and has audio. It is the standard first step before regular news sites.

How does ContextCat handle Japanese text with no spaces?

It cuts the text into words on your iPhone, so a tap lands on a whole word, such as 待って, not on a single character. The explanation is written in your own language.

Sources

  1. NHK News Web Easy
  2. Tofugu: NHK News Web Easy (learning resources database)
  3. Hu and Nation (2000), Unknown vocabulary density and reading comprehension

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