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Optimisation of the Largest Annotated Tibetan Corpus Combining Rule-based, Memory-based, and Deep-learning Methods

https://doi.org/10.1145/3409488
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-69005-6openalex-snapshot
Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
inferredcites →https://doi.org/10.1007/978-981-15-0118-0_38openalex-snapshot
TPOS Tagging Method Based on BiLSTM_CRF Model
inferredcites →https://doi.org/10.1109/iciecs.2009.5366542openalex-snapshot
Design of a Tibetan Automatic Word Segmentation Scheme
inferredcites →https://doi.org/10.1162/tacl_a_00051openalex-snapshot
Enriching Word Vectors with Subword Information
inferredcites →https://doi.org/10.18653/v1/p19-3031openalex-snapshot
TARGER: Neural Argument Mining at Your Fingertips
inferredcites →https://doi.org/10.26615/978-954-452-056-4_035openalex-snapshot
Developing the Old Tibetan Treebank
inferredcites →https://doi.org/10.4028/www.scientific.net/amm.519-520.784openalex-snapshot
Research on Automatic Tagging of Parts of Speech for Tibetan Texts Based on the Condition of Random Fields
inferredcites →https://doi.org/10.5013/ijssst.a.17.08.19openalex-snapshot
Fusion of Word Clustering Features for Tibetan Part of Speech Tagging Based on Maximum Entropy Model
inferredcites →https://doi.org/10.5070/h913224023openalex-snapshot
A Rule-based Part-of-speech Tagger for Classical Tibetan
inferredcites →https://doi.org/10.5070/h916234501openalex-snapshot
Segmenting and POS tagging Classical Tibetan using a memory-based tagger
inferredcites →https://doi.org/10.5281/zenodo.823706openalex-snapshot
The Annotated Corpus of Classical Tibetan (ACTib), Part I - Segmented version, based on the BDRC digitised text collection, tagged with the Memory-Based Tagger from TiMBL.

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s13198-024-02555-wopenalex-snapshot
Machine learning and rule-based embedding techniques for classifying text documents
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.128026openalex-snapshot
A comparative analysis of deep learning and machine learning for POS tagging
inferred← citeshttps://doi.org/10.1109/iscslp63861.2024.10800084openalex-snapshot
Unification of Balti and Trans-Border Sister Dialects in the Essence of LLMs and AI Technology
inferred← citeshttps://doi.org/10.1145/3453692openalex-snapshot
Recent Developments in Tibetan NLP
inferred← citeshttps://doi.org/10.1145/3586158openalex-snapshot
Automatic Extraction and Linkage between Textual and Spatial Data for Architectural Heritage
inferred← citeshttps://doi.org/10.1145/3665244openalex-snapshot
Neural Machine Translation for Low-Resource Languages from a Chinese-centric Perspective: A Survey
inferred← citeshttps://doi.org/10.1163/19606028-bja10047openalex-snapshot
The Diachronic Annotated Corpus of Newar
inferred← citeshttps://doi.org/10.5334/johd.54openalex-snapshot
Old Catalan Morphosyntax: Developing an Annotated Corpus
inferred← citeshttps://doi.org/10.5334/johd.86openalex-snapshot
Crosslinguistic Semantic Textual Similarity of Buddhist Chinese and Classical Tibetan
inferred← citeshttps://doi.org/10.5334/johd.90openalex-snapshot
Text Recognition for Nepalese Manuscripts in Pracalit Script
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