About this item
- Title
- Measuring Language Complexity Using Word Embeddings
- Content partner
- University of Otago
- Collection
- Otago University Research Archive
- Description
The analysis of word patterns from a corpus has previously been examined using a number of different word embedding models. These models create a numeric representation of word co-occurrence and are able to capture some of the syntactic and semantic relationships of words in a document. Assessing language complexity has been considered for many years through the use of simple indexes and basic statistical properties (word frequency, etc.), however little work has been done on using word embed...
- Format
- Research paper
- Research format
- Scholarly text / Conference paper
- Thesis level
- Conference Proceedings
- Date created
- 2018
- Creator
- Whigham, Peter A. / Chugh, Mansi / Dick, Grant
- URL
- https://hdl.handle.net/10523/39718
- Related subjects
- Grammar / Language complexity / Network / Word embedding / Word2vec
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Report this itemDigitalNZ brings together more than 30 million items from institutions so that they are easy to find and use. This information is the best information we could find on this item. This item was added on 21 August 2024, and updated 02 December 2024.
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