Browse State-of-the-Art › Text Normalization
Text Normalization
27 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
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Libraries
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Datasets archive 2025-07-28
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Subtasks archive 2025-07-28
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Most implemented papers archive 2025-07-28
27 shown of 27 papers with code (145 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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29 Mar 2022 3 repositories listedFirst, a non-deterministic WFST outputs all normalization candidates, and then a neural language model picks the best one -- similar to shallow fusion for automatic speech recognition.
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20 May 2020 3 repositories listed Syntology ran 2 of 5 samples · 3 unverified · 2 pointer-only (licence)The transformer has been shown to outperform recurrent neural network-based sequence-to-sequence models in various word-level NLP tasks.
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18 Oct 2020 2 repositories listedWe present hinglishNorm -- a human annotated corpus of Hindi-English code-mixed sentences for text normalization task.
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3 Apr 2019 2 repositories listedThere is no consensus on the state-of-the-art approach to historical text normalization.
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1 Aug 2018 2 repositories listedText normalization has been addressed with a variety of methods, most successfully with character-level statistical machine translation (CSMT).
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18 Dec 2024 1 repository listedText Normalization and Semantic Parsing have numerous applications in natural language processing, such as natural language programming, paraphrasing, data augmentation, constructing expert systems, text matching, and…
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2 Mar 2024 1 repository listedIn this work, we present VNLP: the first dedicated, complete, open-source, well-documented, lightweight, production-ready, state-of-the-art Natural Language Processing (NLP) package for the Turkish language.
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12 Jan 2024 1 repository listedWe propose a multi-task learning (MTL) model for jointly performing three tasks that are commonly solved in a text-to-speech (TTS) front-end: text normalization (TN), part-of-speech (POS) tagging, and homograph…
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13 Dec 2023 1 repository listedTarget-speaker automatic speech recognition (ASR) aims to transcribe the desired speech of a target speaker from multi-talker overlapped utterances.
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16 Jun 2022 1 repository listedText normalization is a crucial technology for low-resource languages which lack rigid spelling conventions or that have undergone multiple spelling reforms.
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31 Mar 2022 1 repository listedInspired by Flat-LAttice Transformer (FLAT), we propose an end-to-end Chinese text normalization model, which accepts Chinese characters as direct input and integrates expert knowledge contained in rules into the neural…
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31 Mar 2022 1 repository listedAutomatic Speech Recognition (ASR) generates text which is most of the times devoid of any punctuation.
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22 Oct 2021 1 repository listedResearchers use figures to communicate rich, complex information in scientific papers.
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11 Jun 2021 1 repository listedThe increasing availability of audio data on the internet lead to a multitude of datasets for development and training of text to speech applications, based on neural networks.
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15 Apr 2021 1 repository listedDeveloping Text Normalization (TN) systems for Text-to-Speech (TTS) on new languages is hard.
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11 Apr 2021 1 repository listedInverse text normalization (ITN) converts spoken-domain automatic speech recognition (ASR) output into written-domain text to improve the readability of the ASR output.
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9 Jan 2021 1 repository listedTo enable tasks such as search/retrieval and classification over all the available data, we need robust algorithms for text normalization, i.
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23 Sep 2020 1 repository listedFor text normalization, sentence fusion, and grammatical error correction, our approach improves explainability by associating each edit operation with a human-readable tag.
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20 Aug 2020 1 repository listedCross-lingual representations have the potential to make NLP techniques available to the vast majority of languages in the world.
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12 Nov 2019 1 repository listedDiverse word representations have surged in most state-of-the-art natural language processing (NLP) applications.
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1 Nov 2019 1 repository listedWe compare different LSTMs and transformer models in terms of their effectiveness in normalizing dialectal Finnish into the normative standard Finnish.
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12 Apr 2019 1 repository listedSocial media offer an abundant source of valuable raw data, however informal writing can quickly become a bottleneck for many natural language processing (NLP) tasks.
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6 Mar 2019 1 repository listedText normalization is a ubiquitous process that appears as the first step of many Natural Language Processing problems.
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31 May 2018 1 repository listedWe perform text normalization, i.
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30 Oct 2017 1 repository listedThe goal of this work is to design a machine translation (MT) system for a low-resource family of dialects, collectively known as Swiss German, which are widely spoken in Switzerland but seldom written.
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31 Oct 2016 1 repository listedThough our conclusions are largely negative on this point, we are actually not arguing that the text normalization problem is intractable using an pure RNN approach, merely that it is not going to be something that can…
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27 Jun 2016 1 repository listedExisting corpora for intrinsic evaluation are not targeted towards tasks in informal domains such as Twitter or news comment forums.
Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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