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Unsupervised Joint PoS Tagging and Stemming for Agglutinative Languages
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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The Web as a Graph: Measurements, Models, and Methods
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Turkish Language Resources: Morphological Parser, Morphological Disambiguator and Web Corpus
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Shall We Play the Festschrift Game?: Essays on the Occasion of Lauri Carlson's 60th Birthday
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Building a Turkish Treebank
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A probabilistic model for stemmer generation
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Comparing clusterings—an information based distance
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An algorithm for the unsupervised learning of morphology
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Character N-Gram Tokenization for European Language Text Retrieval
inferredcites →https://doi.org/10.1080/03610910601096262openalex-snapshot
Sampling the Dirichlet Mixture Model with Slices
inferredcites →https://doi.org/10.1109/tpami.1984.4767596openalex-snapshot
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
inferredcites →https://doi.org/10.1145/1277741.1277851openalex-snapshot
Context sensitive stemming for web search
inferredcites →https://doi.org/10.1145/160688.160718openalex-snapshot
Viewing morphology as an inference process
inferredcites →https://doi.org/10.1145/267954.267957openalex-snapshot
Corpus-based stemming using cooccurrence of word variants
inferredcites →https://doi.org/10.1145/945546.945548openalex-snapshot
Strength and similarity of affix removal stemming algorithms
inferredcites →https://doi.org/10.1145/956863.956889openalex-snapshot
A novel method for stemmer generation based on hidden markov models
inferredcites →https://doi.org/10.1162/089120101750300490openalex-snapshot
Unsupervised Learning of the Morphology of a Natural Language
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10.1162/153244303321897735
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Unsupervised Part-Of-Speech Tagging with Anchor Hidden Markov Models
inferredcites →https://doi.org/10.1214/aoms/1177697196openalex-snapshot
A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains
inferredcites →https://doi.org/10.3115/1220355.1220435openalex-snapshot
Part of speech tagging in context
inferredcites →https://doi.org/10.3115/1220835.1220876openalex-snapshot
Prototype-driven learning for sequence models
inferredcites →https://doi.org/10.3115/1613715.1613761openalex-snapshot
A comparison of Bayesian estimators for unsupervised Hidden Markov Model POS taggers
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A practical part-of-speech tagger
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Part-of-speech induction from scratch
inferredcites →https://doi.org/10.3115/v1/p14-2044openalex-snapshot
POS induction with distributional and morphological information using a distance-dependent Chinese restaurant process
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Class-based n -gram models of natural language
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Building a Large Annotated Corpus of English: The
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Tagging English text with a probabilistic model
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Universal Dependencies v1: A Multilingual Treebank Collection
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Empirical evaluation and study of text stemming algorithms
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Determining the best feature combination through text and probabilistic feature analysis for GPT-2-based mobile app review detection
inferred← citeshttps://doi.org/10.1016/j.mex.2025.103615openalex-snapshot
LFF-POS: A linguistic fusion method to handle out-of-vocabulary words in low-resource part-of-speech tagging
inferred← citeshttps://doi.org/10.1080/0952813x.2023.2165714openalex-snapshot
KreolStem: A hybrid language-dependent stemmer for Kreol Morisien
inferred← citeshttps://doi.org/10.1080/10888438.2024.2413108openalex-snapshot
Cross-Linguistic Differences in Morphological Processing: Evidence from English and Italian
inferred← citeshttps://doi.org/10.1109/access.2023.3332710openalex-snapshot
An Analytical Analysis of Text Stemming Methodologies in Information Retrieval and Natural Language Processing Systems
inferred← citeshttps://doi.org/10.1109/access.2024.3373714openalex-snapshot
Building a Multilevel Inflection Handling Stemmer to Improve Search Effectiveness for Urdu Language
inferred← citeshttps://doi.org/10.1109/iccta64612.2024.10974784openalex-snapshot
Hybrid Approach for Automatic Stemming of Chichewa Words Using Clustering with 4-grams and Affix Stripping
inferred← citeshttps://doi.org/10.1109/siml65326.2025.11080832openalex-snapshot
Handling Out-of-Vocabulary in Indonesian POS Tagging: A Comparative Study
inferred← citeshttps://doi.org/10.1145/3469655openalex-snapshot
A New Concept of Electronic Text Based on Semantic Coding System for Machine Translation
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Development of natural language processing on morphologybased Minangkabau language stemming algorithm
inferred← citeshttps://doi.org/10.1162/coli_a_00514openalex-snapshot
A Systematic Review of Computational Approaches to Deciphering Bronze Age Aegean and Cypriot Scripts
inferred← citeshttps://doi.org/10.18653/v1/2022.naacl-demoopenalex-snapshot
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations
inferred← citeshttps://doi.org/10.18653/v1/2022.naacl-demo.3openalex-snapshot
TurkishDelightNLP: A Neural Turkish NLP Toolkit
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1529588/v1openalex-snapshot
High performance stemming algorithm to handle multi-level inflections in Urdu Language
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1529588/v2openalex-snapshot
High performance stemming algorithm to handle multi-level inflections in Urdu Language
inferred← citeshttps://doi.org/10.22213/2410-9304-2021-4-148-157openalex-snapshot
Emostemmer: An Effective Program for Determining Emotions in Russian Using N-grams (Emotiograms)
inferred← citeshttps://doi.org/10.3389/frai.2026.1875268openalex-snapshot
Stemming techniques for resource-poor languages: a review of methods, challenges, and applications
inferred← citeshttps://doi.org/10.4018/979-8-3693-5231-1.ch002openalex-snapshot
Employing Natural Language Processing Techniques for the Development of a Voting-Based POS Tagger in the Urdu Language
inferred← citeshttps://doi.org/10.4018/ijswis.388421openalex-snapshot
Out-of-Vocabulary Handling in Part-of-Speech Tagging
inferred← citeshttps://doi.org/10.52773/tsuull.uzlc.2023.2/ggyv5168openalex-snapshot
The Problem of pos Tagging and Stemming for Agglutinative Languages (turkish, uyghur, uzbek languages)
inferred← citeshttps://doi.org/10.55071/ticaretfbd.1677269openalex-snapshot
TÜRKÇE DOĞAL DİL İŞLEME TEMELLİ ÇALIŞMALARIN TEORİK DEĞERLENDİRMESİ: YÖNTEMSEL ZORLUKLAR VE GELECEK PERSPEKTİFLERİ
inferred← citeshttps://doi.org/10.7287/peerj-cs.1175v0.1/reviews/1openalex-snapshot
Peer Review #1 of "A selective approach to stemming for minimizing the risk of failure in information retrieval systems (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.1175v0.1/reviews/2openalex-snapshot
Peer Review #2 of "A selective approach to stemming for minimizing the risk of failure in information retrieval systems (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.1175v0.2/reviews/1openalex-snapshot
Peer Review #1 of "A selective approach to stemming for minimizing the risk of failure in information retrieval systems (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.1175v0.2/reviews/2openalex-snapshot
Peer Review #2 of "A selective approach to stemming for minimizing the risk of failure in information retrieval systems (v0.2)"
inferred← citeshttps://doi.org/10.7717/peerj-cs.1175openalex-snapshot
A selective approach to stemming for minimizing the risk of failure in information retrieval systems
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