PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.77 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (511 utterances, 1,326 words searched).

  1. Jun no ouchi wa doko ? %mov:"20504"_248646_249805 FAT · japanese_ishii/20504.cha, line 156 · Jun 2;05
  2. Jun dore ga ii no . %mov:"20504"_1127428_1128754 FAT · japanese_ishii/20504.cha, line 683 · Jun 2;05
  3. Jun mo jaboon@o shita ? %mov:"20504"_1323654_1327312 FAT · japanese_ishii/20504.cha, line 796 · Jun 2;05
  4. Jun mo bachabacha@o shita ? %mov:"20504"_1330800_1332001 FAT · japanese_ishii/20504.cha, line 800 · Jun 2;05
  5. Jun mo oyoida ? %mov:"20504"_1333987_1333987 FAT · japanese_ishii/20504.cha, line 802 · Jun 2;05
  1. CHIkokko no ouchi ya . %mov:"20504"_246035_248281
    FATun . %mov:"20504"_248281_248646
    FAT*FAT: Jun no ouchi wa doko ? %mov:"20504"_248646_249805
    CHIkoko . %mov:"20504"_249805_251475
    FATa, soo ka . %mov:"20504"_251475_252221
  2. FATtakusan aru naa . %mov:"20504"_1123281_1124329
    CHIxxx . %mov:"20504"_1124329_1127428
    FAT*FAT: Jun dore ga ii no . %mov:"20504"_1127428_1128754
    CHIpopo # kore ii wa . %mov:"20504"_1128754_1132005
    FATsore ii ka . %mov:"20504"_1132005_1132729
  3. CHIhore . %mov:"20504"_1318916_1320106
    CHIwaa ! %mov:"20504"_1320106_1323654
    FAT*FAT: Jun mo jaboon@o shita ? %mov:"20504"_1323654_1327312
    CHIjabon to . %mov:"20504"_1327312_1329173
    FATun . %mov:"20504"_1329173_1330202
  4. FATun . %mov:"20504"_1329173_1330202
    CHIshita . %mov:"20504"_1330202_1330202
    FAT*FAT: Jun mo bachabacha@o shita ? %mov:"20504"_1330800_1332001
    CHIn ? %mov:"20504"_1332001_1333987
    FATJun mo oyoida ? %mov:"20504"_1333987_1333987
  5. FATJun mo bachabacha@o shita ? %mov:"20504"_1330800_1332001
    CHIn ? %mov:"20504"_1332001_1333987
    FAT*FAT: Jun mo oyoida ? %mov:"20504"_1333987_1333987
    CHIkoote [: kooshite] <jabujabujabujabu> [>] . %mov:"20504"_1335089_1340792
    FATaa, soo soo soo [<] sonna shita nee . %mov:"20504"_1335089_1340792

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_ishii3.77
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20504.chaJun 2;5.041,326553.77

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. jun5 · 100.0%