PHPCLANCHILDES with regular expressions

13 matches in 12 utterances

13.05 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (405 utterances, 996 words searched).

  1. tonneru . %mov:"20320"_1227947_1228612 FAT · japanese_ishii/20320.cha, line 601 · Jun 2;03
  2. tonneru tsukuru ? %mov:"20320"_1230630_1231639 FAT · japanese_ishii/20320.cha, line 603 · Jun 2;03
  3. hai, tonneru tsukuroo . %mov:"20320"_1300707_1302024 FAT · japanese_ishii/20320.cha, line 636 · Jun 2;03
  4. tonneru ? %mov:"20320"_1605008_1606253 FAT · japanese_ishii/20320.cha, line 728 · Jun 2;03
  5. tonneru ? %mov:"20320"_1609721_1610282 FAT · japanese_ishii/20320.cha, line 731 · Jun 2;03
  6. hona [: soredewa] tonneru nai yan . %mov:"20320"_1626792_1628288 FAT · japanese_ishii/20320.cha, line 739 · Jun 2;03
  7. tonneru ? %mov:"20320"_1655426_1656105 FAT · japanese_ishii/20320.cha, line 755 · Jun 2;03
  8. mata tonneru tsukun no ? %mov:"20320"_1685602_1687038 FAT · japanese_ishii/20320.cha, line 766 · Jun 2;03
  9. tonneru # mata tonneru ? %mov:"20320"_1698407_1699688 FAT · japanese_ishii/20320.cha, line 771 · Jun 2;03
  10. tonneru # mata tonneru ? %mov:"20320"_1698407_1699688 FAT · japanese_ishii/20320.cha, line 771 · Jun 2;03
  11. mata tonneru choodai te ka ? %mov:"20320"_1706801_1708634 FAT · japanese_ishii/20320.cha, line 775 · Jun 2;03
  12. jidoosha tonneru tooru no ? %mov:"20320"_1758689_1760365 FAT · japanese_ishii/20320.cha, line 801 · Jun 2;03
  13. tonneru kowashitara dame ya . %mov:"20320"_1803091_1805229 FAT · japanese_ishii/20320.cha, line 816 · Jun 2;03
  1. FATnani tsukun no,, tsumiki de . %mov:"20320"_1221672_1225755
    CHItonneu . %mov:"20320"_1225755_1227947
    FAT*FAT: tonneru . %mov:"20320"_1227947_1228612
    CHItonde yo . %mov:"20320"_1228612_1230630
    FATtonneru tsukuru ? %mov:"20320"_1230630_1231639
  2. FATtonneru . %mov:"20320"_1227947_1228612
    CHItonde yo . %mov:"20320"_1228612_1230630
    FAT*FAT: tonneru tsukuru ? %mov:"20320"_1230630_1231639
    CHIiya da yo . %mov:"20320"_1231639_1234374
    FATe ? %mov:"20320"_1234374_1235243
  3. FAThippaten no ? %mov:"20320"_1281265_1281970
    CHIepopppopoo xxx . %mov:"20320"_1281970_1300707
    FAT*FAT: hai, tonneru tsukuroo . %mov:"20320"_1300707_1302024
    CHItonneru iya yaa . %mov:"20320"_1302024_1302024
    FATiya ? %mov:"20320"_1303261_1303956
  4. FATnani,, sore ? %mov:"20320"_1602083_1602814
    CHIkeetaade yo . %mov:"20320"_1602814_1605008
    FAT*FAT: tonneru ? %mov:"20320"_1605008_1606253
    CHIhai, xxx . %mov:"20320"_1606253_1607217
    CHItonnee yo . %mov:"20320"_1607217_1609721
  5. CHIhai, xxx . %mov:"20320"_1606253_1607217
    CHItonnee yo . %mov:"20320"_1607217_1609721
    FAT*FAT: tonneru ? %mov:"20320"_1609721_1610282
    FATsoko toon [: tooru] no . %mov:"20320"_1610282_1611601
    CHIsoo yoo . %mov:"20320"_1611601_1613142
  6. CHIatta . %mov:"20320"_1616935_1618054
    CHIxxx atta . %mov:"20320"_1618054_1626792
    FAT*FAT: hona [: soredewa] tonneru nai yan . %mov:"20320"_1626792_1628288
    FATtoorehen yan . %mov:"20320"_1628288_1629100
    FATdoko toon [: tooru] no ? %mov:"20320"_1629100_1630062
  7. CHIkoko . %mov:"20320"_1651256_1653016
    CHItonneru . %mov:"20320"_1653016_1655426
    FAT*FAT: tonneru ? %mov:"20320"_1655426_1656105
    CHItonneru yo . %mov:"20320"_1656105_1657625
    CHIgachan ika na ? %mov:"20320"_1657625_1661529
  8. FATaa ! %mov:"20320"_1672069_1672640
    FATnani tsukun no ? %mov:"20320"_1672640_1685602
    FAT*FAT: mata tonneru tsukun no ? %mov:"20320"_1685602_1687038
    FATu ? %mov:"20320"_1687038_1691104
    CHImata tonnebo xxx . %mov:"20320"_1691104_1695187
  9. FATe ? %mov:"20320"_1695187_1695571
    CHImata tonneru xxx . %mov:"20320"_1695571_1698407
    FAT*FAT: tonneru # mata tonneru ? %mov:"20320"_1698407_1699688
    CHImata tonneru . %mov:"20320"_1699688_1701410
    CHImata . %mov:"20320"_1701410_1703293
  10. CHImata . %mov:"20320"_1701410_1703293
    CHImata tonneru iranai ? %mov:"20320"_1703293_1703293
    FAT*FAT: mata tonneru choodai te ka ? %mov:"20320"_1706801_1708634
    FATsonna shitara akan ne . %mov:"20320"_1708634_1709717
    FATsoshitara takasugiru yaro ? %mov:"20320"_1709717_1711240
  11. FATkoko ya . %mov:"20320"_1755855_1756473
    CHIjidoosha dame yoo . %mov:"20320"_1756473_1758689
    FAT*FAT: jidoosha tonneru tooru no ? %mov:"20320"_1758689_1760365
    CHItoon [: tooru] no . %mov:"20320"_1760365_1760956
    FATuun . %mov:"20320"_1760956_1761464
  12. CHItonneru kowatta . %mov:"20320"_1800921_1802415
    FATaa aa . %mov:"20320"_1802415_1803091
    FAT*FAT: tonneru kowashitara dame ya . %mov:"20320"_1803091_1805229
    CHItonneru nai yo . %mov:"20320"_1805229_1820068
    CHIakan koee # tonneru . %mov:"20320"_1820068_1822624

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Jun japanese_ishii13.05
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20320.chaJun 2;3.20996121313.05

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. tonneru13 · 100.0%