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
MoNoise: Modeling Noise Using a Modular Normalization SystemCode0
A Clustering Framework for Lexical Normalization of Roman UrduCode0
ViSoLex: An Open-Source Repository for Vietnamese Social Media Lexical NormalizationCode0
User-Generated Text Corpus for Evaluating Japanese Morphological Analysis and Lexical NormalizationCode0
DaN+: Danish Nested Named Entities and Lexical NormalizationCode0
A Multi-cascaded Deep Model for Bilingual SMS ClassificationCode0
Contrastive String Representation Learning using Synthetic Data0
CL-MoNoise: Cross-lingual Lexical Normalization0
A Log-Linear Model for Unsupervised Text Normalization0
A Weakly Supervised Data Labeling Framework for Machine Lexical Normalization in Vietnamese Social Media0
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Benchmark Results

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