Browse State-of-the-Art › Chinese Word Segmentation
Chinese Word Segmentation
50 papers with code · 6 benchmarks · 3 datasets archive 2025-07-28
Chinese word segmentation is the task of splitting Chinese text (i.e. a sequence of Chinese characters) into words (Source: www.nlpprogress.com).
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
6 leaderboard tables shown for this task, 6 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| MSR (6 rows) | BABERT-LE | Unsupervised Boundary-Aware Language Model Pretraining for Chinese... | code | — | Compare |
| CTB6 (4 rows) | LATTE (Linguistic units, lattices, PTMs, GNNs) | LATTE: Lattice ATTentive Encoding for Character-based Word Segmentation | code | — | Compare |
| PKU (4 rows) | BABERT-LE | Unsupervised Boundary-Aware Language Model Pretraining for Chinese... | code | — | Compare |
| MSRA (3 rows) | BABERT-LE | Unsupervised Boundary-Aware Language Model Pretraining for Chinese... | code | — | Compare |
| AS (2 rows) | Glyce + BERT | Glyce: Glyph-vectors for Chinese Character Representations | code | Syntology ran 3 of 8 samples · 5 unverified | Compare |
| CITYU (2 rows) | WMSeg + ZEN | Improving Chinese Word Segmentation with Wordhood Memory Networks | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
3 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 50 papers with code (244 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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2 Nov 2019 7 repositories listed Syntology ran 7 of 35 samples · 28 unverifiedMoreover, it is shown that reasonable performance can be obtained when ZEN is trained on a small corpus, which is important for applying pre-training techniques to scenarios with limited data.
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27 Jun 2019 4 repositories listedThrough this method, we generate synthetic data using a large amount of unlabeled data in the target domain and then obtain a word segmentation model for the target domain.
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30 Oct 2018 3 repositories listedExperiments on WMT14 translation tasks demonstrate that ATR-based neural machine translation can yield competitive performance on English- German and English-French language pairs in terms of both translation quality…
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1 Jun 2023 2 repositories listedOur model employs the lattice structure to handle segmentation alternatives and utilizes graph neural networks along with an attention mechanism to attentively extract multi-granularity representation from the lattice…
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27 Oct 2022 2 repositories listedWe apply BABERT for feature induction of Chinese sequence labeling tasks.
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1 Jun 2021 2 repositories listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)2) Pronunciation-based SubChar tokenizers can encode Chinese homophones into the same transliteration sequences and produce the same tokenization output, hence being robust to homophone typos.
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26 Jul 2019 2 repositories listedNeural network has become the dominant method for Chinese word segmentation.
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29 Jan 2019 2 repositories listed Syntology ran 3 of 8 samples · 5 unverifiedHowever, due to the lack of rich pictographic evidence in glyphs and the weak generalization ability of standard computer vision models on character data, an effective way to utilize the glyph information remains to be…
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26 Nov 2018 2 repositories listedDeep learning based natural language processing model is proven powerful, but need large-scale dataset.
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18 Nov 2015 2 repositories listedRepresentations of the input segments (i.
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12 Dec 2024 1 repository listedInspired by early research on exploring naturally annotated data for Chinese Word Segmentation (CWS), and also by recent research on integration of speech and text processing, this work for the first time proposes to…
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6 Jun 2024 1 repository listedHowever, in the legal field application, it is difficult to obtain a large number of manually annotated data sets, which restricts the typical method applied to the task of drafting legal documents.
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12 Oct 2023 1 repository listedAutomatic analysis for modern Chinese has greatly improved the accuracy of text mining in related fields, but the study of ancient Chinese is still relatively rare.
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3 Mar 2023 1 repository listedTo address this problem, we take advantage of the memorization effects of deep neural networks and a small amount of annotated data to get a model with much knowledge and a little noise, and then we use this model to…
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5 Dec 2022 1 repository listedTo better handle long-tail cases in the sequence labeling (SL) task, in this work, we introduce graph neural networks sequence labeling (GNN-SL), which augments the vanilla SL model output with similar tagging examples…
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1 Jun 2022 1 repository listedChinese word segmentation (CWS) and named entity recognition (NER) are two important tasks in Chinese natural language processing.
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1 May 2022 1 repository listedRecent researches show that multi-criteria resources and n-gram features are beneficial to Chinese Word Segmentation (CWS).
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1 May 2022 1 repository listedThinking in reverse, CWS can also be viewed as a process of grouping a sequence of characters into a sequence of words.
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1 May 2022 1 repository listedWord Segmentation is a fundamental step for understanding Chinese language.
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6 Dec 2021 1 repository listedMoreover, we propose a simple constrained Viterbi procedure to ensure the legality of the output graph according to the constraints of the SRL structure.
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1 Aug 2021 1 repository listedChinese word segmentation (CWS) is undoubtedly an important basic task in natural language processing.
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1 Jun 2021 1 repository listedChinese word segmentation (CWS) and medical concept recognition are two fundamental tasks to process Chinese electronic medical records (EMRs) and play important roles in downstream tasks for understanding Chinese EMRs.
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1 Dec 2020 1 repository listedHowever, their work on modeling such contextual features is limited to concatenating the features or their embeddings directly with the input embeddings without distinguishing whether the contextual features are…
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1 Dec 2020 1 repository listedBreaking domain names such as openresearch into component words open and research is important for applications like Text-to-Speech synthesis and web search.
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13 Nov 2020 1 repository listedThe performance of the Chinese Word Segmentation (CWS) systems has gradually reached a plateau with the rapid development of deep neural networks, especially the successful use of large pre-trained models.
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5 Nov 2020 1 repository listedBreaking domain names such as openresearch into component words open and research is important for applications like Text-to-Speech synthesis and web search.
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24 Sep 2020 1 repository listedWe introduce \texttt{N-LTP}, an open-source neural language technology platform supporting six fundamental Chinese NLP tasks: {lexical analysis} (Chinese word segmentation, part-of-speech tagging, and named entity…
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18 Sep 2020 1 repository listedThe joint-model is trained and evaluated on 13 corpora of four tasks, yielding near state-of-the-art (SOTA) performance in dependency parsing and NER, achieving SOTA performance in CWS and POS.
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12 Aug 2020 1 repository listedChinese word segmentation has entered the deep learning era which greatly reduces the hassle of feature engineering.
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16 Jul 2020 1 repository listedIn order to simultaneously alleviate these two issues, this paper proposes to couple distant annotation and adversarial training for cross-domain CWS.
Syntology lines on 3 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.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections