PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

…and must not match

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Speakers

Context

Ignore case Whole words

Scope One transcript: eng_USA_Brown/adam18.cha change

Searching only eng_USA_Brown/adam18.cha. Search all transcripts instead

6 matches in 6 utterances

2.28 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (642 utterances, 2,633 words searched).

Concordance Utterances Distribution Matched forms

what kind of juice did you have before ? MOT · eng_USA_Brown/adam18.cha, line 536 · Adam 2;11
what kind of helmet ? MOT · eng_USA_Brown/adam18.cha, line 826 · Adam 2;11
what kind of holes ? MOT · eng_USA_Brown/adam18.cha, line 1289 · Adam 2;11
ask her what kind of feather . MOT · eng_USA_Brown/adam18.cha, line 1541 · Adam 2;11
what kind of cake ? MOT · eng_USA_Brown/adam18.cha, line 1755 · Adam 2;11
what kind of game ? URS · eng_USA_Brown/adam18.cha, line 2127 · Adam 2;11

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

per 1,000 words

0.00.51.01.52.02.5

2;102;113;003;01

Age of the child (years;months)

Matches per 1,000 words, all transcripts of each child together, highest first.

All transcripts as a table

Transcript	Child	Age	Words	Utterances matched	Matches	Per 1,000 words
eng_USA_Brown/adam18.cha	Adam	2;11.13	2,633	6	6	2.28

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.