Papers with ZWNJ

2 papers
Urdu Word Segmentation using Conditional Random Fields (CRFs) (C18-1)

Copied to clipboard

Challenge: Urdu is amongst languages for which word segmentation is a complex task as it exhibits space omission and space insertion issues.
Approach: They propose a word segmentation system for Urdu which uses a Conditional Random Field sequence modeler with orthographic, linguistic and morphological features.
Outcome: The proposed system achieves an F1 score for word boundary identification and 0.85 for sub-word boundary identification tasks.
Joint Persian Word Segmentation Correction and Zero-Width Non-Joiner Recognition Using BERT (2020.coling-main)

Copied to clipboard

Challenge: a set of rules are set by the regulatory body of the Persian language regarding the use of white space and ZWNJ . only a few people follow these rules in writing formal Persian, let alone the informal language.
Approach: They address problems of word segmentation and zero-width non-joiner recognition in Persian . they use a macro-averaged F1 score of 92.40% on a carefully collected corpus of 500 sentences .
Outcome: The proposed problem is a sequence labeling problem in Persian . it achieves a macro-averaged F1 score of 92.40% on a carefully collected corpus of 500 sentences .

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations