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 3140 of 47 papers

TitleStatusHype
Lexical Normalization of User-Generated Medical Text0
Multilingual Sequence Labeling Approach to solve Lexical Normalization0
NCSU-SAS-Ning: Candidate Generation and Feature Engineering for Supervised Lexical Normalization0
Adapting Sequence to Sequence models for Text Normalization in Social MediaCode0
ViSoLex: An Open-Source Repository for Vietnamese Social Media Lexical NormalizationCode0
Increasing Robustness for Cross-domain Dialogue Act Classification on Social Media DataCode0
A Multi-cascaded Deep Model for Bilingual SMS ClassificationCode0
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
Show:102550
← PrevPage 4 of 5Next →

Benchmark Results

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