PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

3.85 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (945 utterances, 2,599 words searched).

  1. nani ni notta ? %mov:"30008"_247059_247667 FAT · japanese_ishii/30008.cha, line 163 · Jun 3;00
  2. yuuenchi itte nani notta ? %mov:"30008"_249486_251259 FAT · japanese_ishii/30008.cha, line 165 · Jun 3;00
  3. kisha notta ? %mov:"30008"_251840_252478 FAT · japanese_ishii/30008.cha, line 167 · Jun 3;00
  4. kurukuru@o mawan no notta nee . %mov:"30008"_254682_259187 FAT · japanese_ishii/30008.cha, line 170 · Jun 3;00
  5. kurukuru@o mawan no notta desho ? %mov:"30008"_260319_261953 FAT · japanese_ishii/30008.cha, line 172 · Jun 3;00
  6. Otoosan to issho ni notta na ? %mov:"30008"_262790_264467 FAT · japanese_ishii/30008.cha, line 174 · Jun 3;00
  7. nani notta ka nee ? %mov:"30008"_302521_303915 FAT · japanese_ishii/30008.cha, line 200 · Jun 3;00
  8. Oniichan to Oneechan to nani notta ? %mov:"30008"_303915_307299 FAT · japanese_ishii/30008.cha, line 201 · Jun 3;00
  9. kurukurukuru@o tte mawan no notta desho . %mov:"30008"_310797_314172 FAT · japanese_ishii/30008.cha, line 204 · Jun 3;00
  10. basu [<] mo notta nee ? %mov:"30008"_352555_352555 FAT · japanese_ishii/30008.cha, line 228 · Jun 3;00
  1. FATyuuenchi ga mieta . %mov:"30008"_245493_246452
    CHIun . %mov:"30008"_246452_247059
    FAT*FAT: nani ni notta ? %mov:"30008"_247059_247667
    CHIyuuenchi . %mov:"30008"_247667_249486
    FATyuuenchi itte nani notta ? %mov:"30008"_249486_251259
  2. FATnani ni notta ? %mov:"30008"_247059_247667
    CHIyuuenchi . %mov:"30008"_247667_249486
    FAT*FAT: yuuenchi itte nani notta ? %mov:"30008"_249486_251259
    CHIano naa +... %mov:"30008"_251259_251840
    FATkisha notta ? %mov:"30008"_251840_252478
  3. FATyuuenchi itte nani notta ? %mov:"30008"_249486_251259
    CHIano naa +... %mov:"30008"_251259_251840
    FAT*FAT: kisha notta ? %mov:"30008"_251840_252478
    CHIun, kisha notta . %mov:"30008"_252478_254052
    FATsorekara ? %mov:"30008"_254052_254682
  4. CHIun, kisha notta . %mov:"30008"_252478_254052
    FATsorekara ? %mov:"30008"_254052_254682
    FAT*FAT: kurukuru@o mawan no notta nee . %mov:"30008"_254682_259187
    CHIun ? %mov:"30008"_259187_260319
    FATkurukuru@o mawan no notta desho ? %mov:"30008"_260319_261953
  5. FATkurukuru@o mawan no notta nee . %mov:"30008"_254682_259187
    CHIun ? %mov:"30008"_259187_260319
    FAT*FAT: kurukuru@o mawan no notta desho ? %mov:"30008"_260319_261953
    CHIun, soo ya . %mov:"30008"_261953_262790
    FATOtoosan to issho ni notta na ? %mov:"30008"_262790_264467
  6. FATkurukuru@o mawan no notta desho ? %mov:"30008"_260319_261953
    CHIun, soo ya . %mov:"30008"_261953_262790
    FAT*FAT: Otoosan to issho ni notta na ? %mov:"30008"_262790_264467
    CHIun . %mov:"30008"_264467_265009
    FATuwaa@o (to) takaku nattari hikuku nattari shita . %mov:"30008"_265009_268637
  7. FATsorekaraa ? %mov:"30008"_296475_300131
    CHIxxx ? %mov:"30008"_300131_302521
    FAT*FAT: nani notta ka nee ? %mov:"30008"_302521_303915
    FATOniichan to Oneechan to nani notta ? %mov:"30008"_303915_307299
    CHIOniichan to Junkun to +... %mov:"30008"_307299_310215
  8. CHIxxx ? %mov:"30008"_300131_302521
    FATnani notta ka nee ? %mov:"30008"_302521_303915
    FAT*FAT: Oniichan to Oneechan to nani notta ? %mov:"30008"_303915_307299
    CHIOniichan to Junkun to +... %mov:"30008"_307299_310215
    FATun . %mov:"30008"_310215_310797
  9. CHIOniichan to Junkun to +... %mov:"30008"_307299_310215
    FATun . %mov:"30008"_310215_310797
    FAT*FAT: kurukurukuru@o tte mawan no notta desho . %mov:"30008"_310797_314172
    CHInani ? %mov:"30008"_314172_316433
    CHIaa . %mov:"30008"_316433_317312
  10. FATun . %mov:"30008"_352141_352555
    CHIkiin@o [>] . %mov:"30008"_352555_352555
    FAT*FAT: basu [<] mo notta nee ? %mov:"30008"_352555_352555
    CHIkore ka ? %mov:"30008"_354193_355319
    FATmoochotto chiisai basu yatta nee ? %mov:"30008"_355319_357297

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_ishii3.85
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30008.chaJun 3;0.082,59910103.85

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. notta10 · 100.0%