PyChildes Morphosyntax
Utterance-level morphosyntactic annotations derived from the CHILDES English Eng-NA/Eng-UK corpus via PyChildes.
Credit
When citing the use of TalkBank and CHILDES facilities, please use this reference to the last printed version of the CHILDES manual:
@book{macwhinney2000childes,
author = {MacWhinney, Brian},
title = {The CHILDES Project: Tools for Analyzing Talk},
edition = {3rd},
year = {2000},
publisher = {Lawrence Erlbaum Associates},
address = {Mahwah, NJ}
}
This tool is a part of the broader Trabank toolkit that we are actively developing. If you find this tool useful, please give us credit by citing:
@misc{trabank,
title={Trabank: A Toolkit for Computational Developmental Studies in Language Models},
author={Ma, Ziqiao and Wu, Shuyu and Wang, Yixuan and Chai, Joyce and Shi, Freda},
howpublished={https://github.com/Mars-tin/PyChildes},
year={2025}
}
Schema
| Field | Type | Description |
|---|---|---|
id_file |
string |
Corpus file path (e.g. Eng-UK/Edinburgh/eve1510) |
id_utterance |
uint64 |
Utterance index within the file |
speaker |
string |
Speaker code (e.g. PAR0, CHI) |
utterance |
large_string |
Raw utterance text |
morph_lemma |
list<string> |
Lemma for each token |
morph_pos |
list<dict[string, uint8]> |
Part-of-speech tag per token |
morph_word_type |
list<dict[string, uint8]> |
Token surface type: word, compound, or punctuation |
morph_metadata |
large_list<large_string> |
Per-token JSON with CHILDES morphological detail (word/clitic index, features, subpos, compound components) |
syntax_arc |
list<uint64> |
Dependency head index per token (0 = ROOT) |
syntax_rel |
list<dict[string, uint8]> |
Dependency relation label per token (e.g. ROOT, SUBJ, OBJ) |
All per-token list fields are aligned: index i across morph_* and syntax_* fields refers to the same token.
Details
Morphological Metadata (morph_metadata)
Each element is a JSON string roughly structured as follows:
{
"index_word": 1,
"index_clitic": 1,
"subpos": "per",
"components": [
{ "pos": "n", "lemma": "ice" },
{ "pos": "n", "lemma": "berg" }
],
"features": {
"feature": ["3S"],
"suffix": [],
"prefix": [],
"explanation": []
}
}
subpos (subsidiary POS tag, like art for articles), components and features are only present if applicable.
POS Tags (morph_pos)
Available POS tags include:
['L2', 'adj', 'adv', 'aux', 'bab', 'chi', 'co', 'comp', 'conj', 'coord', 'cop', 'det', 'dia', 'fam', 'inf', 'meta', 'mod',
'n', 'neg', 'neo', 'none', 'on', 'part', 'phon', 'post', 'prep', 'pro', 'punct', 'qn', 'sing', 'test', 'uni', 'unk', 'v', 'wplay']
Dependency Relations (syntax_rel)
Available dependency relation labels include:
['APP', 'AUX', 'BEG', 'BEGP', 'CJCT', 'CMOD', 'COBJ', 'COM', 'COMP', 'CONJ', 'COORD', 'CPOBJ', 'CPRED', 'CSUBJ', 'DATE',
'DET', 'END', 'ENDP', 'ENUM', 'INCROOT', 'INF', 'JCT', 'LINK', 'LP', 'MOD', 'NAME', 'NEG', 'NJCT', 'OBJ', 'OBJ2', 'OM',
'POBJ', 'POSTMOD', 'PQ', 'PRED', 'PUNCT', 'QUANT', 'ROOT', 'SRL', 'SUBJ', 'TOP', 'XJCT', 'XMOD']
Example Data
{'id_file': 'Eng-UK/Edinburgh/eve1510',
'id_utterance': 11,
'speaker': 'PAR0',
'morph_lemma': ['look', 'it', 'be', 'a', 'bubble', 'iceberg', '.'],
'morph_metadata': ['{"index_word": 1, "index_clitic": 1, "features": {"feature": [], "suffix": [], "prefix": [], "explanation": []}}',
'{"index_word": 2, "index_clitic": 1, "subpos": "per", "features": {"feature": [], "suffix": [], "prefix": [], "explanation": []}}',
'{"index_word": 2, "index_clitic": 2, "features": {"feature": ["3S"], "suffix": [], "prefix": [], "explanation": []}}',
'{"index_word": 3, "index_clitic": 1, "subpos": "art", "features": {"feature": [], "suffix": [], "prefix": [], "explanation": []}}',
'{"index_word": 4, "index_clitic": 1, "features": {"feature": [], "suffix": [], "prefix": [], "explanation": []}}',
'{"index_word": 5, "index_clitic": 1, "components": [{"pos": "n", "lemma": "ice"}, {"pos": "n", "lemma": "berg"}], "features": {"feature": [], "suffix": [], "prefix": [], "explanation": []}}',
'{"index_word": 6, "index_clitic": 1}'],
'morph_pos': ['co', 'pro', 'cop', 'det', 'n', 'n', 'punct'],
'morph_word_type': ['word',
'word',
'word',
'word',
'word',
'compound',
'punctuation'],
'syntax_arc': [3, 3, 0, 6, 6, 3, 3],
'syntax_rel': ['COM', 'SUBJ', 'ROOT', 'DET', 'MOD', 'PRED', 'PUNCT'],
'utterance': "look it's a bubble iceberg ."}
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