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6,337 Words
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39,083 Characters
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464 6,337 39,083
All strings Browse Translate Zen
453 5,108 31,676
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11 1,229 7,407
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2 47 272
Untranslated strings Browse Translate Zen
9 1,182 7,135
Strings marked for edit Browse Translate Zen
7 10 61
Strings with any failing checks Browse Translate Zen
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Translated strings with any failing checks Browse Translate Zen
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Project website phyphox.org
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Source code repository git@github.com:phyphox/phyphox-translation.git
Repository branch master
Last remote commit Take the reworked Sonar and Doppler descriptions into en.po c34bfee
Staacks authored 10/14/2026
Last commit in Weblate chore(l10n): update Chinese (Traditional Han script) translation fd1cfe9
User avatar staacks authored 10/14/2026
Weblate repository https://translate-new.phyphox.org/git/phyphox/experiments/
File mask experiments/*.po
Monolingual base language file experiments/en.po
Translation file Download experiments/el.po
Last change Oct. 14, 2026, 12:15 p.m.
Last change made by Sebastian Staacks
Language Greek
Language code el
Text direction Left to right
Case sensitivity Case-sensitive
Number of speakers 12,249,401
Number of plurals 2
Plural type One/other
Plurals Singular 1
Plural 0, 2, 3, 4, 5, 6, 7, 8, 9, 10, …
Plural formula n != 1
10/14/2026

String statistics

Strings percent Hosted strings Words percent Hosted words Characters percent Hosted characters
Total 464 6,337 39,083
Translated 97% 453 80% 5,108 81% 31,676
Needs editing 1% 9 18% 1,182 18% 7,135
Read-only 0% 0 0% 0 0% 0
Failing checks 1% 7 1% 10 1% 61
Strings with suggestions 0% 0 0% 0 0% 0
Untranslated strings 1% 2 1% 47 1% 272
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User avatar staacks

Resource updated
The “experiments/en.po” file was changed. 10/14/2026
User avatar staacks

String updated in the repository

Detect small frequency shifts of the Doppler effect.

You need a tone generator that emits a constant frequency (for example 1000Hz from a second phone). Enter this base frequency in the experiment's setup. The experiment will determine the recorded frequency and calculate the relative speed of the sound source.

Ανίχνευση μικρών μεταβολών συχνότητας που οφείλονται στο φαινόμενο Doppler.

Xρειάζεστε μια γεννήτρια συχνοτήτων η οποία εκπέμπει μια σταθερή συχνότητα (π.χ 1000 Hz). Εισάγετε αυτή τη βασική συχνότητα και διαλέξτε ένα εύρος μέσα στο οποίο περιμένετε τη μεταβολή της συχνότητας εξαιτίας του Doppler (π.χ 10Hz). To πείραμα θα μετρήσει την καταγραφόμενη συχνότητα και θα υπολογίσει τη σχετική της πηγής του ήχου.
doppler.phyphox_description
10/14/2026
User avatar staacks

Source string changed

Detect small frequency shifts of the Doppler effect.

You need a tone generator that emits a constant frequency (for example 1000Hz from a second phone). Enter this base frequency in the experiment's setup and select a detection range in which you expect the Doppler shifted frequency (for example 10Hz). The experiment will determine the recorded frequency and calculate the relative speed of the sound source.
doppler.phyphox_description
10/14/2026
User avatar staacks

String updated in the repository

Measures distances through echoes and the speed of sound.

A sonar sends out sound, which gets reflected by the object you want to measure. As sound travels at a speed of approximately 340 m/s, the time until the reflection reaches the microphone of your phone can be used to calculate the distance of this object.

This experiment continuously plays a short "chirp", a sound sweeping from 2 kHz to 10 kHz, repeated about 23 times per second, and records at the same time. A crosscorrelation of the chirp and the recorded data gives information about the timing at which echoes occur. Several chirps are averaged for each result. The strongest signal is the sound traveling directly from the speaker to the microphone and all echoes are timed relative to it. This timing can then be multiplied with the speed of sound (and divided by 2 as the sound has to travel forth and back) and you get the distance at which the echo originated.

However, sound usually travels in every direction. For a sonar this means, that when targeting a wall, you also get reflections from the floor, the ceiling, another wall nearby, a post and simply from every suitable "hard" surface nearby. Therefore this sonar gives you all the reflections and it is up to you to interpret the result and to figure out, which reflection corresponds to the target you intended to measure. So start with a small hard target and try to screen all other directions with some foam material. Also, this needs a quiet environment.

Μετρήσεις απόστασης μέσω της ηχούς και της ταχύτητας του ήχου.

Ένα σόναρ εκπέμπει ριπές σύντομων ήχων, οι οποίοι ανακλώνται από το αντικείμενο του οποίου την απόσταση θέλετε να μετρήσετε. Καθώς ο ήχος διαδίδεται με ταχύτητα περίπου 340 m/s, ο χρόνος που απαιτείται για την επιστροφή του ανακλώμενου ήχου στο κινητό τηλέφωνο, χρησιμοποιείται για να υπολογιστεί η απόσταση από το αντικείμενο.

Στο πείραμα παράγεται ήχος που στέλνεται στο ηχείο και αρχίζει η εγγραφή. Η συσχέτιση ανάμεσα στον παραγόμενο και στον καταγραφόμενο ήχο δίνει πληροφορίες για σχετικά για τον χρόνο της ηχούς. Ο χρόνος αυτός πολλαπλασιασμένος με την ταχύτητα του ήχου (και διαιρεμένος δια δύο καθώς ο ήχος πηγαίνει και επιστρέφει) δίνει την απόσταση στην οποία δημιουργήθηκε η ηχώ.

Σημειώστε ότι η ήχος διαδίδεται σε κάθε κατεύθυνση. Αυτό σημαίνει ότι όταν σημαδεύετε ένα τοίχο, δέχεστε ανακλάσεις από το πάτωμα, το ταβάνι από κάθε άλλο κοντινό τοίχο, από ένα εμπόδιο και γενικά κάθε κατάλληλη "σκληρή" επφάνεια τριγύρω. Συνεπώς το σόναρ σας δείχνει όλες τις ανακλάσεις και εναπόκειται σε εσάς να ερμηνεύσετε το αποτέλεσμα και να βρείτε ποια ανάκλαση αντιστοιχεί στο στόχο που επιθυμούσατε να μετρήσετε. Οπότε ξεκινήστε με ένα μικρό σκληρό στόχο και προσπαθήστε να ελαττώσετε τις υπόλοιπες ανακλάσεις με κάποιο αφρώδες υλικό. Απαιτείται επίσης ήσυχο περιβάλλον.
sonar.phyphox_description
10/14/2026
User avatar staacks

Source string changed

Measures distances through echoes and the speed of sound.

A sonar sends bursts of shorout sounds, which gets reflected by the object you want to measure. As sound travels at a speed of approximately 340 m/s, the time until the reflection reaches the microphone of your phone can be used to calculate the distance of this object.

This experiments generates a "chirp", sends it out through the speaker and starts a recording. A crosscorrelation of the chirp and the recorded data gives information about the timing at which echoes occur continuously plays a short "chirp", a sound sweeping from 2 kHz to 10 kHz, repeated about 23 times per second, and records at the same time. A crosscorrelation of the chirp and the recorded data gives information about the timing at which echoes occur. Several chirps are averaged for each result. The strongest signal is the sound traveling directly from the speaker to the microphone and all echoes are timed relative to it. This timing can then be multiplied with the speed of sound (and divided by 2 as the sound has to travel forth and back) and you get the distance at which the echo originated.

However, sound usually travels in every direction. For a sonar this means, that when targeting a wall, you also get reflections from the floor, the ceiling, another wall nearby, a post and simply from every suitable "hard" surface nearby. Therefore this sonar gives you all the reflections and it is up to you to interpret the result and to figure out, which reflection corresponds to the target you intended to measure. So start with a small hard target and try to screen all other directions with some foam material. Also, this needs a quiet environment.
sonar.phyphox_description
10/14/2026
User avatar staacks

Changes committed
Changes committed 10/14/2026
User avatar staacks

Resource updated
The “experiments/el.po” file was changed. 10/14/2026
User avatar staacks

String added in the repository
Enter the frequency of your tone generator as base frequency. A shorter time step gives more values per second, a longer one gives more precise values. Values are only shown while the tone is clearly recognizable and stays within a few hundred hertz of the base frequency.
 
Enter the frequency of your tone generator as base frequency. A shorter time step gives more values per second, a longer one gives more precise values. Values are only shown while the tone is clearly recognizable and stays within a few hundred hertz of the base frequency.
10/14/2026
User avatar staacks

String added in the repository
Using a known light source, you can tap the graph, select the calibrate mode at the bottom and pick peaks to match them with known wavelengths. You can then see the calibrated spectrum on tab 3.
Χρησιμοποιείστε μια γνωστή φωτεινή πηγή, πατήστε πάνω στο γράφημα, επιλέξτε το πλήκτρο βαθμονόμησης στο κάτω μέρος και επιλέξτε κορυφές που αντιστοιχούν σε γνωστά μήκη κύματος. Μετά μπορείτε να δείτε το βαθμονομημένο διάγραμμα στην καρτέλα 3.
Using a known light source, you can tap the graph, select the calibrate mode at the bottom and pick peaks to match them with known wavelengths. You can then see the calibrated spectrum on tab 3.
10/14/2026
User avatar staacks

String added in the repository
The raw data from the camera is converted to RGB and the individual RGB channels are linearized assuming the gamma curve of sRGB, and then converted to luma. The relative luminance is the luma value normalized to the camera settings such that a pure white image yields a relative luminance of 1 if the camera is set to an exposure time of 1/60s, an ISO of 100 and an aperture of f/1 (Note that this still does not allow for comparison across different models.).
Τα πρωτογενή δεδομένα από την κάμερα μετατρέπονται σε RGB και τα μεμονωμένα κανάλια RGB γραμμικοποιούνται με βάση την καμπύλη γάμμα του sRGB και, στη συνέχεια, μετατρέπονται σε luma. Η σχετική φωτεινότητα είναι η τιμή luma που κανονικοποιείται στις ρυθμίσεις της κάμερας, έτσι ώστε μια καθαρά λευκή εικόνα να αποδίδει σχετική φωτεινότητα 1, εάν η κάμερα έχει ρυθμιστεί σε χρόνο έκθεσης 1/60s, ISO 100 και διάφραγμα f/1 (Σημειώστε ότι αυτό εξακολουθεί να μην επιτρέπει τη σύγκριση μεταξύ διαφορετικών μοντέλων).
The raw data from the camera is converted to RGB and the individual RGB channels are linearized assuming the gamma curve of sRGB, and then converted to luma. The relative luminance is the luma value normalized to the camera settings such that a pure white image yields a relative luminance of 1 if the camera is set to an exposure time of 1/60s, an ISO of 100 and an aperture of f/1 (Note that this still does not allow for comparison across different models.).
10/14/2026
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