PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.64 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (707 utterances, 1,893 words searched).

  1. dore ga ii [<] ?%mov:"30119"_1168846_1172358 FAT · japanese_ishii/30119.cha, line 482 · Jun 3;01
  2. Junkun dore ? %mov:"30119"_1172358_1173044 FAT · japanese_ishii/30119.cha, line 483 · Jun 3;01
  3. dore tabeyo ka na . %mov:"30119"_1319833_1323798 FAT · japanese_ishii/30119.cha, line 570 · Jun 3;01
  4. dore tabeyo ka na . %mov:"30119"_1323798_1324890 FAT · japanese_ishii/30119.cha, line 571 · Jun 3;01
  5. dore suru ? %mov:"30119"_1352943_1353801 FAT · japanese_ishii/30119.cha, line 590 · Jun 3;01
  1. CHIdembu [: zembu] naranda . %mov:"30119"_1167518_1168846
    CHIdoko oku no,, piipoopiipoo@o [>] . %mov:"30119"_1168846_1172358
    FAT*FAT: dore ga ii [<] ?%mov:"30119"_1168846_1172358
    FATJunkun dore ? %mov:"30119"_1172358_1173044
    CHIJunkun na, kore . %mov:"30119"_1173044_1175818
  2. CHIdoko oku no,, piipoopiipoo@o [>] . %mov:"30119"_1168846_1172358
    FATdore ga ii [<] ?%mov:"30119"_1168846_1172358
    FAT*FAT: Junkun dore ? %mov:"30119"_1172358_1173044
    CHIJunkun na, kore . %mov:"30119"_1173044_1175818
    FATun . %mov:"30119"_1175818_1176406
  3. FATkonna shite kimashita . %mov:"30119"_1309304_1319337
    FATtaberu zoo . %mov:"30119"_1319337_1320637
    FAT*FAT: dore tabeyo ka na . %mov:"30119"_1319833_1323798
    FATdore tabeyo ka na . %mov:"30119"_1323798_1324890
    CHIbaan@o . %mov:"30119"_1324890_1325788
  4. FATtaberu zoo . %mov:"30119"_1319337_1320637
    FATdore tabeyo ka na . %mov:"30119"_1319833_1323798
    FAT*FAT: dore tabeyo ka na . %mov:"30119"_1323798_1324890
    CHIbaan@o . %mov:"30119"_1324890_1325788
    FATSerika tabeyo ka . %mov:"30119"_1325788_1326992
  5. CHIdore shoo ka na . %mov:"30119"_1350280_1351878
    FATdere shoo ka na te ka ? %mov:"30119"_1351878_1352943
    FAT*FAT: dore suru ? %mov:"30119"_1352943_1353801
    CHIgaburi@o . %mov:"30119"_1353801_1356130
    FATnai yaro,, moo gaburi@o te . %mov:"30119"_1356130_1359252

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_ishii2.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30119.chaJun 3;1.191,893552.64

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. dore5 · 100.0%