PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.58 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (698 utterances, 1,957 words searched).

  1. sore wa nan daro . %mov:"30816"_1838736_1839818 FAT · japanese_ishii/30816.cha, line 933 · Jun 3;08
  2. hora [<] otona wa tsuno ga aru daro . %mov:"30816"_1883047_1885625 FAT · japanese_ishii/30816.cha, line 965 · Jun 3;08
  3. sore wa # nii daro ? %mov:"30816"_2548897_2550123 FAT · japanese_ishii/30816.cha, line 1262 · Jun 3;08
  4. kore nan daro naa . %mov:"30816"_2650365_2651496 FAT · japanese_ishii/30816.cha, line 1311 · Jun 3;08
  5. dotchi daro . %mov:"30816"_2872178_2872761 FAT · japanese_ishii/30816.cha, line 1437 · Jun 3;08
  6. nan daro . %mov:"30816"_3093047_3093047 FAT · japanese_ishii/30816.cha, line 1553 · Jun 3;08
  7. soo daro . %mov:"30816"_3105888_3113765 FAT · japanese_ishii/30816.cha, line 1558 · Jun 3;08
  1. FATomoshiroi # sakan ya naa . %mov:"30816"_1833208_1835597
    CHInani,, kore ? %mov:"30816"_1835597_1838736
    FAT*FAT: sore wa nan daro . %mov:"30816"_1838736_1839818
    CHIdoobutsuen ya . %mov:"30816"_1839818_1841440
    FATdoobutsuen ka . %mov:"30816"_1841440_1841928
  2. FATxxx ? %mov:"30816"_1880710_1883047
    CHIaree [>] ! %mov:"30816"_1883047_1885625
    FAT*FAT: hora [<] otona wa tsuno ga aru daro . %mov:"30816"_1883047_1885625
    CHIun [>] . %mov:"30816"_1885625_1886945
    FATkore wa kodomo da [<] . %mov:"30816"_1885625_1886945
  3. FATnii to san ga . %mov:"30816"_2543746_2547206
    CHIhyuu@o . %mov:"30816"_2547206_2548897
    FAT*FAT: sore wa # nii daro ? %mov:"30816"_2548897_2550123
    CHInii . %mov:"30816"_2550123_2551071
    FATmoo chotto kotchi ni xxx Otoosan miehen yan . %mov:"30816"_2551071_2554511
  4. CHIunko suru bakyuumukaa +... %mov:"30816"_2642386_2644747
    CHIkoitsu # kore nani ? %mov:"30816"_2644747_2650365
    FAT*FAT: kore nan daro naa . %mov:"30816"_2650365_2651496
    CHIoshikko chau ? %mov:"30816"_2651496_2653720
    FATn ? %mov:"30816"_2653720_2654571
  5. FATnoseten no ka na ? %mov:"30816"_2869462_2870721
    CHInosetehen zo . %mov:"30816"_2870721_2872178
    FAT*FAT: dotchi daro . %mov:"30816"_2872178_2872761
    CHIoroshiteru yo, hora . %mov:"30816"_2872761_2875248
    FAToroshiten no # nimotsu [>] . %mov:"30816"_2875248_2876639
  6. CHIun . %mov:"30816"_3087615_3088463
    CHIkondo wa nan daro . %mov:"30816"_3088463_3093047
    FAT*FAT: nan daro . %mov:"30816"_3093047_3093047
    CHIare ? %mov:"30816"_3095948_3097420
    CHIKamenraidaa iyorahen [: inai] . %mov:"30816"_3097420_3099406
  7. FATKamenraidaa koko ni atta no kowashita n ya . %mov:"30816"_3099406_3101982
    FATmata Jun ga kowashita . %mov:"30816"_3101982_3105888
    FAT*FAT: soo daro . %mov:"30816"_3105888_3113765
    CHIchau zo . %mov:"30816"_3113765_3114973
    CHImoo nai . %mov:"30816"_3114973_3118250

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_ishii3.58
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30816.chaJun 3;8.161,957773.58

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. daro7 · 100.0%