PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

4.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (806 utterances, 2,316 words searched).

  1. doo natta ka na ? %mov:"30022"_988615_989639 FAT · japanese_ishii/30022.cha, line 481 · Jun 3;00
  2. hikooki wa doo natta n . %mov:"30022"_1263025_1265345 FAT · japanese_ishii/30022.cha, line 614 · Jun 3;00
  3. kore nosetara doo,, koko e # untenshusan ? %mov:"30022"_1526806_1530793 FAT · japanese_ishii/30022.cha, line 704 · Jun 3;00
  4. doo suru ? %mov:"30022"_2459418_2461331 FAT · japanese_ishii/30022.cha, line 1135 · Jun 3;00
  5. doo suru ? %mov:"30022"_2481368_2483018 FAT · japanese_ishii/30022.cha, line 1148 · Jun 3;00
  6. doo suru ? %mov:"30022"_2483018_2485231 FAT · japanese_ishii/30022.cha, line 1149 · Jun 3;00
  7. ame ni nuretara doo suru ? %mov:"30022"_2485231_2489817 FAT · japanese_ishii/30022.cha, line 1150 · Jun 3;00
  8. doo suru ? %mov:"30022"_2761831_2762557 FAT · japanese_ishii/30022.cha, line 1288 · Jun 3;00
  9. doo sun no . %mov:"30022"_3576769_3579120 FAT · japanese_ishii/30022.cha, line 1599 · Jun 3;00
  10. kore wa doo ya . %mov:"30022"_3681568_3682772 FAT · japanese_ishii/30022.cha, line 1654 · Jun 3;00
  1. FATmuzukashii yaro,, kore wa . %mov:"30022"_965902_986446
    FATun ? %mov:"30022"_986446_988615
    FAT*FAT: doo natta ka na ? %mov:"30022"_988615_989639
    FATkonna n kuttsuku ka ? %mov:"30022"_989639_991053
    FATkora [: kore wa] kuttsukanai zo,, kore wa . %mov:"30022"_991053_993683
  2. CHIsenro bairudaa [?] . %mov:"30022"_1246517_1255740
    CHIhai, oritekuda +... %mov:"30022"_1252855_1263025
    FAT*FAT: hikooki wa doo natta n . %mov:"30022"_1263025_1265345
    FATmoo yame ka . %mov:"30022"_1265345_1267071
    CHIun . %mov:"30022"_1267071_1268538
  3. FATtoreeraa ya na . %mov:"30022"_1523279_1524034
    CHIbuun@o . %mov:"30022"_1524034_1526806
    FAT*FAT: kore nosetara doo,, koko e # untenshusan ? %mov:"30022"_1526806_1530793
    CHIbiin@o . %mov:"30022"_1530793_1536150
    FATochiru ochiruu . %mov:"30022"_1536150_1537489
  4. CHIun ? %mov:"30022"_2458030_2458590
    FATkomaru nee . %mov:"30022"_2458590_2459418
    FAT*FAT: doo suru ? %mov:"30022"_2459418_2461331
    CHIsentaku no torina [: toranaito] # akan waa . %mov:"30022"_2461331_2467601
    FATee ? %mov:"30022"_2467601_2468302
  5. FATsoo . %mov:"30022"_2480205_2480736
    FAThonto ya . %mov:"30022"_2480736_2481368
    FAT*FAT: doo suru ? %mov:"30022"_2481368_2483018
    FATdoo suru ? %mov:"30022"_2483018_2485231
    FATame ni nuretara doo suru ? %mov:"30022"_2485231_2489817
  6. FAThonto ya . %mov:"30022"_2480736_2481368
    FATdoo suru ? %mov:"30022"_2481368_2483018
    FAT*FAT: doo suru ? %mov:"30022"_2483018_2485231
    FATame ni nuretara doo suru ? %mov:"30022"_2485231_2489817
    CHIsentaku # xxx ? %mov:"30022"_2489817_2497251
  7. FATdoo suru ? %mov:"30022"_2481368_2483018
    FATdoo suru ? %mov:"30022"_2483018_2485231
    FAT*FAT: ame ni nuretara doo suru ? %mov:"30022"_2485231_2489817
    CHIsentaku # xxx ? %mov:"30022"_2489817_2497251
    FATee ? %mov:"30022"_2497251_2497792
  8. CHIyuenai mon,, oshikko mada . %mov:"30022"_2757902_2760404
    FATnna [: soredewa] yoochien ikenai wa . %mov:"30022"_2760404_2761831
    FAT*FAT: doo suru ? %mov:"30022"_2761831_2762557
    CHIii ya mon . %mov:"30022"_2762557_2764061
    FATii no, ikan demo . %mov:"30022"_2764061_2765303
  9. FATsoo ya . %mov:"30022"_3572224_3572704
    CHIare ? %mov:"30022"_3572704_3576769
    FAT*FAT: doo sun no . %mov:"30022"_3576769_3579120
    FATwaa, tokkyuuressha mitai naa, kore . %mov:"30022"_3579120_3584793
    CHItokkyuudensha chau wa . %mov:"30022"_3584793_3586578
  10. FATun . %mov:"30022"_3679376_3680272
    CHIkotchi no hoo ga ii . %mov:"30022"_3680272_3681568
    FAT*FAT: kore wa doo ya . %mov:"30022"_3681568_3682772
    CHIhora . %mov:"30022"_3682772_3686832
    FATsore wa massugu iku naa . %mov:"30022"_3686832_3687824

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_ishii4.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30022.chaJun 3;0.222,31610104.32

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. doo10 · 100.0%