POS Tagging
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Benchmarks
Twitter POS
WSJ POS
Most implemented
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
Does Manipulating Tokenization Aid Cross-Lingual Transfer? A Study on POS Tagging for Non-Standardized Languages
PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation
Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks
Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Recurrent Neural Network
LINSPECTOR: Multilingual Probing Tasks for Word Representations
Papers
Automatic Part-of-Speech Tagging of Arabic-English Dictionary Senses through WordNet
This paper proposed an algorithm for part-of-speech (POS) tagging senses of a bilingual dictionary. The algorithm is applied on the Al-Mawrid Arabic-English dictionary. The tagging task is accomplished by transferring th…
Part-Of-Speech TaggingPOS TaggingL3Cube-MahaPOS: A Marathi Part-of-Speech Tagging Dataset and BERT Models
Part-of-Speech (POS) tagging is a foundational NLP task underpinning machine translation, information extraction, and syntactic parsing. Despite Marathi being spoken by over 83 million people and ranking among the top tw…
Information ExtractionPart-Of-Speech TaggingMachine TranslationPOS TaggingFrom Traditional Taggers to LLMs: A Comparative Study of POS Tagging for Medieval Romance Languages
Part-of-speech (POS) tagging for Medieval Romance languages remains challenging due to orthographic variation, morphological complexity, and limited annotated resources. This paper presents a systematic empirical evaluat…
Cross-Lingual TransferPOS TaggingBenchmarking POS Tagging for the Tajik Language: A Comparative Study of Neural Architectures on the TajPersParallel Corpus
This paper presents the first benchmark for the task of automatic part-of-speech (POS) tagging for the Tajik language. Despite the existence of multilingual language models demonstrating high effectiveness for many of th…
parameter-efficient fine-tuningPOS TaggingWhen Does Data Augmentation Help? Evaluating LLM and Back-Translation Methods for Hausa and Fongbe NLP
Data scarcity limits NLP development for low-resource African languages. We evaluate two data augmentation methods -- LLM-based generation (Gemini 2.5 Flash) and back-translation (NLLB-200) -- for Hausa and Fongbe, two W…
Data AugmentationPOS TaggingA Survey of Text and Speech Resources for Hausa and Fongbe: Availability, Quality, and Gaps for NLP Development
This survey provides a comprehensive catalog of publicly available text and speech resources for two West African languages: Hausa, an Afroasiatic language with approximately 80-100 million speakers, and Fongbe, a Niger-…
POS Tagging