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
MultiLexNorm: A Shared Task on Multilingual Lexical NormalizationCode0
To What Extent Does Lexical Normalization Help English-as-a-Second Language Learners to Read Noisy English Texts?0
Sesame Street to Mount Sinai: BERT-constrained character-level Moses models for multilingual lexical normalization0
Contrastive String Representation Learning using Synthetic Data0
Sequence-to-Sequence Lexical Normalization with Multilingual Transformers0
DaN+: Danish Nested Named Entities and Lexical NormalizationCode0
User-Generated Text Corpus for Evaluating Japanese Morphological Analysis and Lexical NormalizationCode0
Lexical Normalization for Code-switched Data and its Effect on POS TaggingCode0
Lexical Normalization for Code-switched Data and its Effect on POS-tagging0
Norm It! Lexical Normalization for Italian and Its Downstream Effects for Dependency Parsing0
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Benchmark Results

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