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Korean Part-of-speech Tagging Based on Morpheme Generation

https://doi.org/10.1145/3373608
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-19400-9_14openalex-snapshot
Part-of-Speech Tagging from 97% to 100%: Is It Time for Some Linguistics?
inferredcites →https://doi.org/10.1016/j.neunet.2005.06.042openalex-snapshot
Framewise phoneme classification with bidirectional LSTM and other neural network architectures
inferredcites →https://doi.org/10.1109/5.18626openalex-snapshot
A tutorial on hidden Markov models and selected applications in speech recognition
inferredcites →https://doi.org/10.1109/tasl.2009.2019922openalex-snapshot
Probabilistic Modeling of Korean Morphology
inferredcites →https://doi.org/10.1145/1273496openalex-snapshot
Proceedings of the 24th international conference on Machine learning
inferredcites →https://doi.org/10.1145/2700051openalex-snapshot
Conditional Random Fields for Korean Morpheme Segmentation and POS Tagging
inferredcites →https://doi.org/10.1145/3178458openalex-snapshot
End-to-End Korean Part-of-Speech Tagging Using Copying Mechanism
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.18653/v1/2020.acl-mainopenalex-snapshot
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
inferredcites →https://doi.org/10.18653/v1/n16-1030openalex-snapshot
Neural Architectures for Named Entity Recognition
inferredcites →https://doi.org/10.18653/v1/p16-1160openalex-snapshot
A Character-level Decoder without Explicit Segmentation for Neural Machine Translation
inferredcites →https://doi.org/10.3115/1072228.1072320openalex-snapshot
MACH
inferredcites →https://doi.org/10.3115/1073445.1073478openalex-snapshot
Feature-rich part-of-speech tagging with a cyclic dependency network
inferredcites →https://doi.org/10.3115/1119355openalex-snapshot
Proceedings of the 2003 conference on Empirical methods in natural language processing -
inferredcites →https://doi.org/10.3115/980451openalex-snapshot
Proceedings of the 17th international conference on Computational linguistics -
inferredcites →https://doi.org/10.3115/991886.991979openalex-snapshot
A two-level morphological analysis of Korean
inferredcites →https://doi.org/10.3115/v1/d14-1179openalex-snapshot
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
inferredcites →https://doi.org/10.3115/v1/p15-1002openalex-snapshot
Addressing the Rare Word Problem in Neural Machine Translation
inferredcites →https://doi.org/10.5626/jok.2016.43.3.362openalex-snapshot
Syllable-based Korean POS Tagging Based on Combining a Pre-analyzed Dictionary with Machine Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-981-16-7985-8_16openalex-snapshot
POS Tagger Model for South Indian Language Using a Deep Learning Approach
inferred← citeshttps://doi.org/10.1016/j.fraope.2024.100185openalex-snapshot
A part of speech tagger for Yoruba language text using deep neural network
inferred← citeshttps://doi.org/10.1075/kl.00008.paropenalex-snapshot
Word segmentation granularity in Korean
inferred← citeshttps://doi.org/10.1109/cyberneticscom55287.2022.9865660openalex-snapshot
Capitalization Feature and Learning Rate for Improving NER Based on RNN BiLSTM-CRF
inferred← citeshttps://doi.org/10.1109/ialp57159.2022.9961253openalex-snapshot
Identifying Relation Between Miriek and Kenyah Badeng Language by Using Morphological Analyzer
inferred← citeshttps://doi.org/10.1145/3421762openalex-snapshot
A Hierarchical Sequence-to-Sequence Model for Korean POS Tagging
inferred← citeshttps://doi.org/10.1145/3637877openalex-snapshot
Deep Learning-based POS Tagger and Chunker for Odia Language Using Pre-trained Transformers
inferred← citeshttps://doi.org/10.14569/ijacsa.2021.0121011openalex-snapshot
Highly Efficient Parts of Speech Tagging in Low Resource Languages with Improved Hidden Markov Model and Deep Learning
inferred← citeshttps://doi.org/10.28991/hij-2024-05-02-04openalex-snapshot
Comparative Analysis of Deep Learning Models for Part of Speech Tagging in the Malay Language
inferred← citeshttps://doi.org/10.3390/app13052892openalex-snapshot
Syllable-Based Multi-POSMORPH Annotation for Korean Morphological Analysis and Part-of-Speech Tagging
inferred← citeshttps://doi.org/10.4218/etrij.2023-0364openalex-snapshot
Transformer‐based reranking for improving Korean morphological analysis systems
inferred← citeshttps://doi.org/10.5565/rev/tradumatica.241openalex-snapshot
Evaluación humana de traducción automática neuronal e informe de progreso anual: estudio de caso del castellano al coreano
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