PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.53 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (770 utterances, 1,984 words searched).

  1. un, doko non no . %mov:"20901"_295590_296950 FAT · japanese_ishii/20901.cha, line 161 · Jun 2;09
  2. kaidan kara non no,, hikooki wa . %mov:"20901"_303295_305002 FAT · japanese_ishii/20901.cha, line 165 · Jun 2;09
  3. hikooki wa kaidan kara non no . %mov:"20901"_305608_307681 FAT · japanese_ishii/20901.cha, line 167 · Jun 2;09
  4. sore wa dokkara non no . %mov:"20901"_384111_385458 FAT · japanese_ishii/20901.cha, line 220 · Jun 2;09
  5. doko non no ka na,, kore . %mov:"20901"_3249566_3250595 FAT · japanese_ishii/20901.cha, line 1648 · Jun 2;09
  6. koko non no ka . %mov:"20901"_3251345_3252159 FAT · japanese_ishii/20901.cha, line 1650 · Jun 2;09
  7. soko non no ? %mov:"20901"_3255577_3256371 FAT · japanese_ishii/20901.cha, line 1655 · Jun 2;09
  1. FATun . %mov:"20901"_292472_293060
    CHIkore # Junkun ga non no . %mov:"20901"_293060_295590
    FAT*FAT: un, doko non no . %mov:"20901"_295590_296950
    CHIkoko nii [?] shitara kaidan ga aru no . %mov:"20901"_296950_296950
    FATkaidan ga an [: aru] no . %mov:"20901"_301675_302787
  2. FATkaidan ga an [: aru] no . %mov:"20901"_301675_302787
    CHIun . %mov:"20901"_302787_303295
    FAT*FAT: kaidan kara non no,, hikooki wa . %mov:"20901"_303295_305002
    CHIn ? %mov:"20901"_305002_305608
    FAThikooki wa kaidan kara non no . %mov:"20901"_305608_307681
  3. FATkaidan kara non no,, hikooki wa . %mov:"20901"_303295_305002
    CHIn ? %mov:"20901"_305002_305608
    FAT*FAT: hikooki wa kaidan kara non no . %mov:"20901"_305608_307681
    CHIkaidan kara non no . %mov:"20901"_307681_310095
    FATfuun . %mov:"20901"_310095_310627
  4. CHIpatokaa ga # itchatta,, patokaa ga . %mov:"20901"_376009_380155
    CHIwahaha, ookina torakku . %mov:"20901"_380155_383979
    FAT*FAT: sore wa dokkara non no . %mov:"20901"_384111_385458
    CHIkoko . %mov:"20901"_385458_386324
    CHIue ni notteru,, kore . %mov:"20901"_386324_389411
  5. FATakai kyuukyuusha desu yo,, kore wa. %mov:"20901"_3245255_3246892
    CHIhai, norimasu yo . %mov:"20901"_3246892_3249566
    FAT*FAT: doko non no ka na,, kore . %mov:"20901"_3249566_3250595
    CHIkoko . %mov:"20901"_3250595_3251345
    FATkoko non no ka . %mov:"20901"_3251345_3252159
  6. FATdoko non no ka na,, kore . %mov:"20901"_3249566_3250595
    CHIkoko . %mov:"20901"_3250595_3251345
    FAT*FAT: koko non no ka . %mov:"20901"_3251345_3252159
    CHIkoko yan . %mov:"20901"_3252159_3253346
    FATfuun . %mov:"20901"_3253346_3254225
  7. CHIbuun@o . %mov:"20901"_3254225_3254769
    CHIkoko yaro . %mov:"20901"_3254769_3255577
    FAT*FAT: soko non no ? %mov:"20901"_3255577_3256371
    CHIwiin@o . %mov:"20901"_3256371_3258947
    CHIkyuukyuusha wa,, xxx ? %mov:"20901"_3258947_3264342

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_ishii3.53
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20901.chaJun 2;9.011,984773.53

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. non7 · 100.0%