See presegmentation in All languages combined, or Wiktionary
{ "etymology_templates": [ { "args": { "1": "en", "2": "pre", "3": "segmentation" }, "expansion": "pre- + segmentation", "name": "prefix" } ], "etymology_text": "From pre- + segmentation.", "forms": [ { "form": "presegmentations", "tags": [ "plural" ] } ], "head_templates": [ { "args": { "1": "~" }, "expansion": "presegmentation (countable and uncountable, plural presegmentations)", "name": "en-noun" } ], "lang": "English", "lang_code": "en", "pos": "noun", "senses": [ { "categories": [ { "kind": "other", "name": "English entries with incorrect language header", "parents": [ "Entries with incorrect language header", "Entry maintenance" ], "source": "w" }, { "kind": "other", "name": "English terms prefixed with pre-", "parents": [], "source": "w" }, { "kind": "other", "name": "Pages with 1 entry", "parents": [], "source": "w" }, { "kind": "other", "name": "Pages with entries", "parents": [], "source": "w" } ], "examples": [ { "bold_text_offsets": [ [ 153, 168 ] ], "ref": "2015, Gabriele Lohmann, Johannes Stelzer, Verena Zuber, Tilo Buschmann, Daniel Margulies, Andreas Bartels, Klaus Scheffler, “Task-related edge density (TED) - a new method for revealing large-scale network formation in fMRI data of the human brain”, in arXiv:", "text": "A major advantage of TED compared to other methods is that it does not depend on any specific hemodynamic response model, and it also does not require a presegmentation of the data for dimensionality reduction as it can handle large networks consisting of tens of thousands of voxels.", "type": "quote" } ], "glosses": [ "segmentation in advance" ], "id": "en-presegmentation-en-noun-1sUikEQ7", "links": [ [ "segmentation", "segmentation" ], [ "in advance", "in advance" ] ], "tags": [ "countable", "uncountable" ] } ], "word": "presegmentation" }
{ "etymology_templates": [ { "args": { "1": "en", "2": "pre", "3": "segmentation" }, "expansion": "pre- + segmentation", "name": "prefix" } ], "etymology_text": "From pre- + segmentation.", "forms": [ { "form": "presegmentations", "tags": [ "plural" ] } ], "head_templates": [ { "args": { "1": "~" }, "expansion": "presegmentation (countable and uncountable, plural presegmentations)", "name": "en-noun" } ], "lang": "English", "lang_code": "en", "pos": "noun", "senses": [ { "categories": [ "English countable nouns", "English entries with incorrect language header", "English lemmas", "English nouns", "English terms prefixed with pre-", "English terms with quotations", "English uncountable nouns", "Pages with 1 entry", "Pages with entries" ], "examples": [ { "bold_text_offsets": [ [ 153, 168 ] ], "ref": "2015, Gabriele Lohmann, Johannes Stelzer, Verena Zuber, Tilo Buschmann, Daniel Margulies, Andreas Bartels, Klaus Scheffler, “Task-related edge density (TED) - a new method for revealing large-scale network formation in fMRI data of the human brain”, in arXiv:", "text": "A major advantage of TED compared to other methods is that it does not depend on any specific hemodynamic response model, and it also does not require a presegmentation of the data for dimensionality reduction as it can handle large networks consisting of tens of thousands of voxels.", "type": "quote" } ], "glosses": [ "segmentation in advance" ], "links": [ [ "segmentation", "segmentation" ], [ "in advance", "in advance" ] ], "tags": [ "countable", "uncountable" ] } ], "word": "presegmentation" }
Download raw JSONL data for presegmentation meaning in English (1.5kB)
This page is a part of the kaikki.org machine-readable English dictionary. This dictionary is based on structured data extracted on 2025-04-26 from the enwiktionary dump dated 2025-04-20 using wiktextract (89e900c and ea19a0a). The data shown on this site has been post-processed and various details (e.g., extra categories) removed, some information disambiguated, and additional data merged from other sources. See the raw data download page for the unprocessed wiktextract data.
If you use this data in academic research, please cite Tatu Ylonen: Wiktextract: Wiktionary as Machine-Readable Structured Data, Proceedings of the 13th Conference on Language Resources and Evaluation (LREC), pp. 1317-1325, Marseille, 20-25 June 2022. Linking to the relevant page(s) under https://kaikki.org would also be greatly appreciated.