Japanese Sentence Analyzer
Break supported sentences into readable tokens, dictionary forms, and simple grammar notes.
How the Sentence Analyzer Works
Token vs Word
Japanese is written without spaces, so the analyzer first runs a tokeniser that splits the sentence into morphemes — the smallest meaningful units. A single English word can map to several Japanese tokens: a verb stem, a tense ending, and a politeness suffix may all sit in one cluster. Understanding the token boundaries is the first step toward parsing Japanese fluently.
Reading the Output Columns
Each row shows the surface form (what appears in the sentence), the reading in kana (so you can pronounce the kanji), the dictionary form or lemma (what you'd look up), the part of speech (noun, verb, particle, auxiliary), and an English gloss. Combined, these tell you not just what each token means but how it functions grammatically inside the sentence.
When Analysis Falls Short
Tokenisers are statistical. Rare kanji, anime slang, internet abbreviations, personal names, and ambiguous parses can produce a best guess that's technically valid but not what the writer meant. When a reading looks odd or a gloss feels off, cross-check against a dictionary lookup — the analyzer is a fast first pass, not a final authority on every edge case.
Frequently Asked Questions
How does the Japanese sentence analyzer break a sentence apart?
Paste a Japanese sentence and the analyzer runs it through a morphological analyser (the same kind of engine that powers IME input). It identifies each token, returns the dictionary form (lemma), the reading in hiragana, the part of speech, and where relevant a short grammar note. Each token is then linked to the dictionary entry for deeper study. This is the fastest way to read a sentence you partially understand: the parts you already know confirm themselves, and the parts you do not see a direct dictionary path right next to the word.
Does the analyzer work for any Japanese sentence?
The morphological engine handles any sentence written in hiragana, katakana, or kanji. The extra grammar notes and dictionary links rely on bundled reference data, so extremely rare constructions, proper nouns that are not in the dictionary, and brand-new slang may return a token without a grammar note attached. The analyzer marks those tokens honestly instead of guessing a meaning. Paste a more common synonym or paraphrase and the analyzer usually finds the pattern.
How is this different from Google Translate?
Translation tools try to produce a single English sentence; an analyzer shows you the Japanese grammar scaffolding so you can learn it. Google Translate will give you "I watched a movie yesterday", but this tool will tag 昨日 as a time noun, 映画 as the direct object, を as the object-marker particle, and 見ました as the polite past form of 見る. That structural breakdown is what lets JLPT learners build reading speed — translation answers the "what"; the analyzer answers the "how".
Can I use the analyzer for reading practice?
Yes — this is the primary use case. Pick a sentence from a manga, news article, song lyric, or textbook, paste it in, and work through the breakdown token by token. Read the sentence aloud first without help, then expand the analyzer output only on the words you do not recognise. That pattern (attempt first, reveal selectively) is more effective than reading the full translation up front. For a structured reading plan, combine the analyzer with the JLPT vocabulary and grammar study pages linked below.
Is my input saved or shared?
The sentence you paste is sent to the analyzer API to compute the tokens and is not stored, shared, or used to train any model. The responses are cached only by the standard HTTP layer so repeated lookups are faster. You can paste full paragraphs without privacy concerns, though the tool is tuned for single sentences and short clauses rather than long passages.