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: french/lyon_nat27b.cha change

Searching only french/lyon_nat27b.cha. Search all transcripts instead

5 matches in 5 utterances

3.28 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (335 utterances, 1,523 words searched).

Concordance Utterances Distribution Matched forms

une bouche ? MOT · french/lyon_nat27b.cha, line 1183 · Nathan 2;02
sur une bouche ? 1268232_1270572 MOT · french/lyon_nat27b.cha, line 1185 · Nathan 2;02
je veux une bouche ? 1270572_1272678 MOT · french/lyon_nat27b.cha, line 1187 · Nathan 2;02
et une bouche tu m'en fait une ? 1285325_1288065 MOT · french/lyon_nat27b.cha, line 1208 · Nathan 2;02
c'est la bouche ça ? 1291322_1294290 MOT · french/lyon_nat27b.cha, line 1219 · Nathan 2;02

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

per 1,000 words

01234

2;012;022;032;04

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
french/lyon_nat27b.cha	Nathan	2;2.23	1,523	5	5	3.28

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