Asking the model to read this sentence.
A sentence nobody has read before takes a minute or two, because it means asking a language model. Nothing is lost if you leave this page: the address keeps the result.
Every word with the dictionary form it comes from and the endings it carries here: case, number, gender, tense, and the job it does in the clause. Then the grammar rules the sentence uses, each one linked to the words that show it.
A sentence nobody has analysed takes a minute or two, because it means asking a language model. One that has been analysed comes back at once, and always will.
Asking the model to read this sentence.
A sentence nobody has read before takes a minute or two, because it means asking a language model. Nothing is lost if you leave this page: the address keeps the result.
German published today, taken apart sentence by sentence. Every line links back to the article it came from.
Erweiterte Partizipialattribute
Formal written German can expand a participle before a noun into a long phrase standing between the article and the noun, where English would use a relative clause after it.
Real sentences from the lexicon. The marked words are what show the rule.
Dort sind allerdings nur private E-Roller erlaubt, die in Deutschland weit verbreiteten Leih-Scooter sind seit 2023 verboten. Auch in Deutschland sind Unfälle mit E-Rollern ein wachsendes Problem: Die Polizei registrierte bundesweit im vergangenen Jahr laut Statistischem Bundesamt fast 16.500 E-Roller-Unfälle - im Vergleich zum Vorjahr ein Plus von rund 38 Prozent. Doch eine Helmpflicht gibt es hierzulande nicht.
However, only privately owned e-scooters are allowed there; the rental scooters that are widespread in Germany have been banned since 2023. In Germany too, accidents involving e-scooters are a growing problem: according to the Federal Statistical Office, the police registered almost 16,500 e-scooter accidents nationwide last year — an increase of around 38 percent compared with the previous year. Yet there is no helmet requirement in this country.
An entire participial phrase with its own prepositional modifier stands between the article and the noun, a structure typical of written German.
Erst vor zweieinhalb Jahren gegründet, folgte einem Höhenflug in ostdeutschen Landtagen das Scheitern an der Fünf-Prozent-Hürde bei der vergangenen Bundestagswahl.
Founded only two and a half years earlier, it followed its meteoric rise in the eastern German state parliaments with failure at the five-percent threshold in the last federal election.
A fronted past participle with modifiers acts as a reduced clause referring to the subject.
Zu sehen ist ein in Ketten gelegtes Ventil.
What can be seen is a valve that has been placed in chains.
The prepositional phrase 'in Ketten' expands the participle 'gelegt', all placed before the noun as an attributive phrase.
Im gesamten Jahr 2025 hätten die Bundesbehörden etwa 16.600 Menschen bei der geförderten Rückkehr in ihr Herkunftsland oder einen aufnahmebereiten Drittstaat unterstützt.
Over the whole of 2025, the federal authorities are said to have supported around 16,600 people in their state-funded return to their country of origin or to a third country willing to take them in.
The past participle gefördert modifies Rückkehr attributively with a weak adjective ending.
In knapp 3.100 Fällen wurden entstandene gesundheitliche Schäden bestätigt - also in etwa jedem vierten Fall.
In almost 3,100 cases, health damage that had occurred was confirmed - that is, in about one in four cases.
The participle stands directly before the noun with an intervening adjective, forming a compact modifier phrase typical of formal German.
In einer Gemeinde im Thüringer Wald wurde ein Vater von herabstürzenden Baumteilen getroffen und starb an den Verletzungen.
In a municipality in the Thuringian Forest, a father was struck by falling pieces of tree and died of his injuries.
The present participle 'herabstürzenden' modifies the noun attributively with a strong adjective ending.
What you saved, and when each card comes back.
Every word this backend has met, commonest first. The count is what it has read, not an estimate.
The sixty-nine rules the analysis chooses from, A1 to B2. Open one to read it with the sentences that use it. A rule the analysis wanted and could not find waits here as proposed until a person approves it.
Four steps, and the two places the sentences come from.
Anything up to 500 characters. Or pick one of today's news sentences instead.
It splits the sentence into words and records the dictionary form and endings of each one.
It matches the sentence against the catalogue of sixty-nine rules and records the words that show each one.
The next person to ask that sentence gets the stored answer, without going back to the model.
Pick any word and its reading opens beside the sentence: the dictionary form it came from, its case, its person, and the job it does in the clause.
The underline colour repeats the word class, and the key under the sentence names every colour in words, so the colour is never the only thing carrying the meaning.
Under the words come the grammar rules the sentence uses. Each one names the words in this sentence that prove it, and says why it applies here rather than in general.
Open a rule to read it on its own page, with more sentences from the lexicon that use the same thing.
Two places. You type them, or the backend reads them. Every five minutes it fetches the German news from tagesschau.de, takes the first several sentences of each new article, and queues them. That is where most of the lexicon comes from: current German written for adults, rather than textbook sentences about a pencil on a table.
Every sentence taken from an article carries its headline, its publisher, a link back to the piece, and where in the piece it stood. Nothing here is presented as this site's own writing. If you publish German and would rather not be read this way, say so and you will be left out.
Not blindly. A language model wrote every word of German in here. This one is better than expected: asked to conjugate helfen, it produced ihm wird geholfen for the passive, which is right precisely because helfen takes the dative and so has no personal passive.
It is also confidently wrong sometimes, and a learner is exactly the person who cannot tell. So every form, gender and plural carries two controls: right and wrong. Marking something wrong asks you for one sentence saying what is wrong with it, and that sentence is worth more than the count.
The counts show as two numbers rather than a score. One report against two approvals means something different from one report against two hundred, and a single number hides that.
Reading is free and needs no account. Analysing a sentence nobody has analysed spends money on a language model, so each account gets a daily allowance and can ask for more. Everything after that first analysis is free forever. The result is stored, and so is every word it taught the lexicon.
You can save a whole word, a whole sentence, or a single form. A single form is usually the useful one: helfen, Präsens, er/sie/es is one thing to learn, and it can be solid while ihr helft is still shaky. Forms group under the word they belong to, so a verb with twenty forms is one entry rather than twenty.
You grade each card when you review it, and the grade sets the gap before you see it next. Forgot sends it back to the start. Hard stretches the gap a little. Good multiplies it. Easy multiplies it and then some. A card you keep forgetting keeps coming back sooner, for good, rather than being forgiven after one correct answer. Re-adding a set of forms never resets progress on cards you already have.
The lexicon is shared. Every sentence, word, form and rule is readable by anyone without an account, because a shared lexicon that everyone improves is the whole idea.
Your study list and review history are yours alone. Nobody else can read them, and the storage layer enforces that rather than the application remembering to check.
Sixty-nine rules, A1 to B2, written by hand. The analysis may only choose from them. That is what stops one rule appearing under four names and the links between sentences becoming meaningless.
Where a sentence uses something the catalogue lacks, the analysis may propose a rule. The proposal is stored and linked, so nothing is lost, but it stays marked as proposed until a person approves it. You can read the proposed ones under Rules.
Signing in gives you a study list of your own. Reading the lexicon needs no account.
Signing in keeps a study list of your own. Reading the lexicon needs no account.
Everything here needs an API key, which is the backend itself rather than a person.
Analysing a new sentence asks a language model, so it needs a key. Reading needs none. The key stays in this browser. It also opens these admin pages, so treat it as an administrator credential and do not hand it to a learner.
No key saved. Reading works without one.
Whether the thing is running. The queue is sentences waiting to be analysed; it should be draining, not growing.
What readers said is wrong. The note is the part worth reading; the counts only say how disputed something is.
Everyone who has analysed a sentence, and what they may spend a day. Requests for more are at the top.