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Glite Dictionary
🧐 Nitpicking details 💻 Dividing text
word-splitting

word-splitting

6.0
Dividing text into words for computer processing, especially for languages without spaces
  • noun
  • /wɜrd ˈsplɪtɪŋ/
  • Specialized
translation icon : segmentación
  • Languages like Chinese require careful word-splitting because there are no spaces between words.

Examples

  • The preprocessing pipeline included sentence segmentation, tokenization, and word-splitting by rule-based heuristics.

  • Before training the model, we applied word-splitting to all raw text in the corpus.

  • The word-splitting technique is essential for analyzing text data.

  • Many algorithms rely on word-splitting to process sentences effectively.

  • The word-splitting process made it easier for the software to analyze the text without errors.

  • Effective word-splitting is crucial for natural language processing tasks, especially in context-free languages.

  • In NLP, word-splitting helps in understanding text by separating it into meaningful units.

Synonyms

segmentation
vsword-splitting
3 6.1

Dividing something into separate parts

focuses on dividing text into tokens for computational analysis especially without boundaries
splitting
vsword-splitting
3.4

The act of dividing something into parts or groups

applies specifically to dividing text into tokens for computer processing

How Detailed

word-splitting
  • Specialized
6.0

Surface Forms

word-splitting singular
word-splittings plural

Morphology

word-splitting = word + splitting (transparent) = word + split + ing

A literal, technical compound: 'word' + the gerund 'splitting' directly denotes dividing text into words.

Etymology

Word-splitting comes from word and split, meaning 'to cut into parts', and it describes cutting text into separate words so a computer can read and work with it. That's why it is important for languages like Chinese that have no spaces between words.