Papers POS Tagging
“POS Tagging” 태그가 달린 논문 536편 · 필터 해제
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 TaggingWhy Better Cross-Lingual Alignment Fails for Better Cross-Lingual Transfer: Case of Encoders
Better cross-lingual alignment is often assumed to yield better cross-lingual transfer. However, explicit alignment techniques -- despite increasing embedding similarity -- frequently fail to improve token-level downstre…
Sentence ClassificationCross-Lingual TransferPOS TaggingUnsupervised Cross-Lingual Part-of-Speech Tagging with Monolingual Corpora Only
Due to the scarcity of part-of-speech annotated data, existing studies on low-resource languages typically adopt unsupervised approaches for POS tagging. Among these, POS tag projection with word alignment method transfe…
Part-Of-Speech TaggingMachine TranslationWord AlignmentPOS TaggingEffective vocabulary expansion of multilingual language models for extremely low-resource languages
Multilingual pre-trained language models(mPLMs) offer significant benefits for many low-resource languages. To further expand the range of languages these models can support, many works focus on continued pre-training of…
POS TaggingBhashaSetu: Cross-Lingual Knowledge Transfer from High-Resource to Extreme Low-Resource Languages
Despite remarkable advances in natural language processing, developing effective systems for low-resource languages remains a formidable challenge, with performances typically lagging far behind high-resource counterpart…
POS TaggingFastPOS: Language-Agnostic Scalable POS Tagging Framework Low-Resource Use Case
This study proposes a language-agnostic transformer-based POS tagging framework designed for low-resource languages, using Bangla and Hindi as case studies. With only three lines of framework-specific code, the model was…
POS TaggingAvaliação de eficiência na leitura: uma abordagem baseada em PLN
The cloze test, widely used due to its low cost and flexibility, makes it possible to assess reading comprehension by filling in gaps in texts, requiring the mobilization of diverse linguistic repertoires. However, tradi…
Reading ComprehensionPOS TaggingCloze TestTaggus: An Automated Pipeline for the Extraction of Characters' Social Networks from Portuguese Fiction Literature
Automatically identifying characters and their interactions from fiction books is, arguably, a complex task that requires pipelines that leverage multiple Natural Language Processing (NLP) methods, such as Named Entity R…
POS TaggingFiLLM -- A Filipino-optimized Large Language Model based on Southeast Asia Large Language Model (SEALLM)
This study presents FiLLM, a Filipino-optimized large language model, designed to enhance natural language processing (NLP) capabilities in the Filipino language. Built upon the SeaLLM-7B 2.5 model, FiLLM leverages Low-R…
Dependency ParsingLanguage ModelingLanguage ModellingLarge Language Model+9A Comparative Analysis of Static Word Embeddings for Hungarian
This paper presents a comprehensive analysis of various static word embeddings for Hungarian, including traditional models such as Word2Vec, FastText, as well as static embeddings derived from BERT-based models using dif…
named-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)NER+4myNER: Contextualized Burmese Named Entity Recognition with Bidirectional LSTM and fastText Embeddings via Joint Training with POS Tagging
Named Entity Recognition (NER) involves identifying and categorizing named entities within textual data. Despite its significance, NER research has often overlooked low-resource languages like Myanmar (Burmese), primaril…
named-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)NER+5Untangling the Influence of Typology, Data and Model Architecture on Ranking Transfer Languages for Cross-Lingual POS Tagging
Cross-lingual transfer learning is an invaluable tool for overcoming data scarcity, yet selecting a suitable transfer language remains a challenge. The precise roles of linguistic typology, training data, and model archi…
Cross-Lingual POS TaggingCross-Lingual TransferPart-Of-Speech TaggingPOS+2A Comparative Analysis of Word Segmentation, Part-of-Speech Tagging, and Named Entity Recognition for Historical Chinese Sources, 1900-1950
This paper compares large language models (LLMs) and traditional natural language processing (NLP) tools for performing word segmentation, part-of-speech (POS) tagging, and named entity recognition (NER) on Chinese texts…
named-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)NER+3Statistical Analysis of Sentence Structures through ASCII, Lexical Alignment and PCA
While utilizing syntactic tools such as parts-of-speech (POS) tagging has helped us understand sentence structures and their distribution across diverse corpora, it is quite complex and poses a challenge in natural langu…
POSPOS TaggingSentenceComparative Study of Zero-Shot Cross-Lingual Transfer for Bodo POS and NER Tagging Using Gemini 2.0 Flash Thinking Experimental Model
Named Entity Recognition (NER) and Part-of-Speech (POS) tagging are critical tasks for Natural Language Processing (NLP), yet their availability for low-resource languages (LRLs) like Bodo remains limited. This article p…
Cross-Lingual TransferMachine Translationnamed-entity-recognitionNamed Entity Recognition+8