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464 Strings
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6,337 Words
46%
39,083 Characters
47%

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Strings Words Characters
464 6,337 39,083
All strings Browse Translate Zen
267 2,955 18,497
Translated strings Browse Translate Zen
197 3,382 20,586
Unfinished strings Browse Translate Zen
191 2,692 16,304
Untranslated strings Browse Translate Zen
6 690 4,282
Strings marked for edit Browse Translate Zen
2 106 711
Strings with any failing checks Browse Translate Zen
1 1 9
Translated strings with any failing checks Browse Translate Zen
1 1 9
Failing check: Mismatched full stop Browse Translate Zen
1 105 702
Failing check: Mismatching line breaks Browse Translate Zen

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Android GPL-3.0-only 55% 202 790 4,334 202 25
App Stores 100% 1
iOS GPL-3.0-only 79% 92 578 3,665 92 43
iOS InfoPlist GPL-3.0-only 87% 1 51 309 1
iOS Settings GPL-3.0-only 0% 20 127 761 20
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Summary

Project website phyphox.org
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  • The translation uses monolingual files.
  • The translation base language is editable.

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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/zh_Hant.po
Last change Oct. 14, 2026, 12:15 p.m.
Last change made by Sebastian Staacks
Language Chinese (Traditional Han script)
Language code zh_Hant
Text direction Left to right
Case sensitivity Case-insensitive
Number of speakers 39,078,482
Number of plurals 1
Plural type None
Plurals
Plural formula 0
10/14/2026

String statistics

Strings percent Hosted strings Words percent Hosted words Characters percent Hosted characters
Total 464 6,337 39,083
Translated 57% 267 46% 2,955 47% 18,497
Needs editing 1% 6 10% 690 10% 4,282
Read-only 0% 0 0% 0 0% 0
Failing checks 1% 2 1% 106 1% 711
Strings with suggestions 0% 0 0% 0 0% 0
Untranslated strings 41% 191 42% 2,692 41% 16,304
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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.

偵測因都卜勒效應所造成的小頻率偏移。

你需要一個可以產生固定頻率（例如1000Hz）的器具。在「設置」處輸入這基準頻率，並選擇你預期的都卜勒偏移頻率範圍（例如10Hz）。這實驗會透過量測到的頻率以計算聲源的相對速度。
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.

透過回音及聲速測量距離。

此聲納傳送一束聲波，並且會經由待側物反射。當聲波以大約340 m/s的速度傳遞時，反射波到達手機麥克風的時間可用來計算帶測物的距離。

本實驗自手機擴音器生成一個尖銳的聲音，並開始錄音。透過該聲音與錄下的資料間的關係我們可以得到回音產生的時刻。這個時刻可以是聲速的倍數（並除以2因為聲音必須來回傳遞），這樣一來就可以得到回音產生時刻與待測物之距離。

然而，聲音在各方向上傳播。這會使聲納接收到來自待測物、地板、天花板、或附近的牆壁...等近處合適的硬材質的回音。因此此聲納給你所有反射數據並由您來自行解讀哪個實驗結果與待測物接近。所以請切記在實驗開始前試著利用較軟的物質屏蔽來自其他方向的回音，當然，你也必須在安靜的環境下進行實驗。
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/zh_Hant.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.
 
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.).
 
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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