PHPCLANCHILDES with regular expressions

11 matches in 10 utterances

9.57 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (482 utterances, 1,150 words searched).

  1. nani ga nureteru ? %mov:"30203"_379291_380382 FAT · japanese_ishii/30203.cha, line 106 · Jun 3;02
  2. hai, nani de [/-] nani shite asobu no ? %mov:"30203"_437068_442690 FAT · japanese_ishii/30203.cha, line 138 · Jun 3;02
  3. hai, nani de [/-] nani shite asobu no ? %mov:"30203"_437068_442690 FAT · japanese_ishii/30203.cha, line 138 · Jun 3;02
  4. nani tsukun no . %mov:"30203"_1218841_1219607 FAT · japanese_ishii/30203.cha, line 438 · Jun 3;02
  5. nani tsukuru ? %mov:"30203"_1244840_1246470 FAT · japanese_ishii/30203.cha, line 443 · Jun 3;02
  6. nani shoo ka na ? %mov:"30203"_1253651_1255327 MAA · japanese_ishii/30203.cha, line 446 · Jun 3;02
  7. nani,, kore, Otchan . %mov:"30203"_1306671_1311026 MAA · japanese_ishii/30203.cha, line 466 · Jun 3;02
  8. nani sun no yo . %mov:"30203"_1355399_1356705 FAT · japanese_ishii/30203.cha, line 487 · Jun 3;02
  9. nani ga ee no . %mov:"30203"_2578398_2579208 FAT · japanese_ishii/30203.cha, line 860 · Jun 3;02
  10. nani ga yo . %mov:"30203"_2744500_2746348 FAT · japanese_ishii/30203.cha, line 913 · Jun 3;02
  11. kore nani ? %mov:"30203"_2793476_2794947 MAA · japanese_ishii/30203.cha, line 932 · Jun 3;02
  1. MAAagattara kaeru . %mov:"30203"_375513_377467
    MAAa, nuretaaru . %mov:"30203"_377467_379291
    FAT*FAT: nani ga nureteru ? %mov:"30203"_379291_380382
    MAAjitensha ga . %mov:"30203"_380382_381676
    FATjitensha nureteru [>] ? %mov:"30203"_381676_383224
  2. FATatchi suwarinasai, Junkun . %mov:"30203"_433560_435346
    FATxxx # itai [/] itai . %mov:"30203"_435346_437068
    FAT*FAT: hai, nani de [/-] nani shite asobu no ? %mov:"30203"_437068_442690
    CHIkondo wa <tsumiki> [>] de asobu . %mov:"30203"_442690_447024
    FATjidoosha [<] ?%mov:"30203"_442690_447024
  3. FATMaakun atchi suwari . %mov:"30203"_1212448_1215994
    CHIxxx naa . %mov:"30203"_1215994_1218841
    FAT*FAT: nani tsukun no . %mov:"30203"_1218841_1219607
    CHInani tsukuroo ka naa . %mov:"30203"_1219607_1222634
    MAAxxx . %mov:"30203"_1222634_1232081
  4. FATMaakun, kotchi # kotchi oide,, kotchi . %mov:"30203"_1232081_1238403
    CHInani tsukuro . %mov:"30203"_1238403_1244840
    FAT*FAT: nani tsukuru ? %mov:"30203"_1244840_1246470
    CHIa, xxx atta, hore . %mov:"30203"_1246470_1247628
    CHInani shoo ka na ? %mov:"30203"_1247628_1253651
  5. CHIa, xxx atta, hore . %mov:"30203"_1246470_1247628
    CHInani shoo ka na ? %mov:"30203"_1247628_1253651
    MAA*MAA: nani shoo ka na ? %mov:"30203"_1253651_1255327
    CHIaraa ! %mov:"30203"_1255327_1257759
    CHIa, Jun xxx . %mov:"30203"_1257759_1259648
  6. CHIkoko ni ue . %mov:"30203"_1302255_1302920
    CHIjidoosha wa ue oku n [: oku no],, koo yatte . %mov:"30203"_1302920_1306671
    MAA*MAA: nani,, kore, Otchan . %mov:"30203"_1306671_1311026
    FATkore ka ? %mov:"30203"_1311026_1313174
    FATtokee ya . %mov:"30203"_1313174_1313825
  7. CHIun . %mov:"30203"_1352708_1353456
    CHIchau yo . %mov:"30203"_1353456_1355399
    FAT*FAT: nani sun no yo . %mov:"30203"_1355399_1356705
    CHIkore wa na +... %mov:"30203"_1356705_1362636
    CHIara ? %mov:"30203"_1362636_1366961
  8. FATfookurifuto mitaina aru yan . %mov:"30203"_2573969_2576297
    CHIfookurifuto wa iran ! %mov:"30203"_2576297_2578398
    FAT*FAT: nani ga ee no . %mov:"30203"_2578398_2579208
    CHIkore . %mov:"30203"_2579208_2581551
    FATsonna n tsukuttara ee yaro ? %mov:"30203"_2581551_2583601
  9. FATaru mon de tsukura na . %mov:"30203"_2735440_2736688
    MAAdoko ni xxx ? %mov:"30203"_2736688_2744500
    FAT*FAT: nani ga yo . %mov:"30203"_2744500_2746348
    MAAxxx . %mov:"30203"_2746348_2747657
    FATaru mon de tsukura, na ? %mov:"30203"_2747657_2752424
  10. CHIhora . %mov:"30203"_2790136_2791234
    CHImitemi,, Junkun, hora . %mov:"30203"_2791234_2793476
    MAA*MAA: kore nani ? %mov:"30203"_2793476_2794947
    MAAkonnan tsuiteru . %mov:"30203"_2794947_2795972
    CHIaa . %mov:"30203"_2795972_2797105

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_ishii9.57
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30203.chaJun 3;2.031,15010119.57

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. nani11 · 100.0%