PHPCLANCHILDES with regular expressions

Regular expression

Press Enter to search, Shift+Enter for a new line.

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/york_para001.cha change

Searching only french/york_para001.cha. Search all transcripts instead

4 matches in 4 utterances

2.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (418 utterances, 1,700 words searched).

Concordance Utterances Distribution Matched forms

t(u) as une montre , toi ? 1995980_2014681 MOT · french/york_para001.cha, line 973 · Anne 1;10
non „ pas de montre , Madame . 2016027_2017394 SAR · french/york_para001.cha, line 980 · Anne 1;10
je n' ai pas de montre . 2017815_2018951 SAR · french/york_para001.cha, line 985 · Anne 1;10
et toi , t(u) as une montre ? 2021520_2022531 SAR · french/york_para001.cha, line 989 · Anne 1;10

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

1;091;101;112;00

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/york_para001.cha	Anne	1;10.12	1,700	4	4	2.35

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