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 110 of 47 papers

TitleStatusHype
ÚFAL at MultiLexNorm 2021: Improving Multilingual Lexical Normalization by Fine-tuning ByT5Code1
ViLexNorm: A Lexical Normalization Corpus for Vietnamese Social Media TextCode1
Modeling Input Uncertainty in Neural Network Dependency ParsingCode0
DaN+: Danish Nested Named Entities and Lexical NormalizationCode0
A Clustering Framework for Lexical Normalization of Roman UrduCode0
Lexical Normalization for Code-switched Data and its Effect on POS TaggingCode0
Adapting Deep Learning for Sentiment Classification of Code-Switched Informal Short TextCode0
A Multi-cascaded Deep Model for Bilingual SMS ClassificationCode0
Adapting Sequence to Sequence models for Text Normalization in Social MediaCode0
Automatic Textual Normalization for Hate Speech DetectionCode0
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Benchmark Results

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