SOTAVerified

Lexical Normalization

Lexical normalization is the task of translating/transforming a non standard text to a standard register.

Example:

new pix comming tomoroe
new pictures coming tomorrow

Datasets usually consists of tweets, since these naturally contain a fair amount of these phenomena.

For lexical normalization, only replacements on the word-level are annotated. Some corpora include annotation for 1-N and N-1 replacements. However, word insertion/deletion and reordering is not part of the task.

Papers

Showing 1120 of 47 papers

TitleStatusHype
A Large Corpus of Product Reviews in Portuguese: Tackling Out-Of-Vocabulary Words0
A Weakly Supervised Data Labeling Framework for Machine Lexical Normalization in Vietnamese Social Media0
CL-MoNoise: Cross-lingual Lexical Normalization0
Contrastive String Representation Learning using Synthetic Data0
A Character-level Ngram-based MT Approach for Lexical Normalization in Social Media0
Lexical Normalization for Code-switched Data and its Effect on POS-tagging0
Handling Normalization Issues for Part-of-Speech Tagging of Online Conversational Text0
IHS\_RD: Lexical Normalization for English Tweets0
A Taxonomy for In-depth Evaluation of Normalization for User Generated Content0
Lexical Normalization of User-Generated Medical Text0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MoNoiseAccuracy87.63Unverified
2Syllable basedAccuracy86.08Unverified
3TextNormAccuracy83.94Unverified
4unLOLAccuracy82.06Unverified