Open-Source Tools for Morphology, Lemmatization, POS Tagging and Named Entity Recognition
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LemmatizationMorphological Analysisnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)Part-Of-Speech TaggingPOSPOS TaggingSimilar Papers 제목 키워드 기반
Under-resourced studies of under-resourced languages: lemmatization and POS-tagging with LLM annotators for historical Armenian, Georgian, Greek and Syriac
Low-resource languages pose persistent challenges for Natural Language Processing tasks such as lemmatization and part-of-speech (POS) tagging. This paper investigates the capacity of recent large language models (LLMs),…
SinaTools: Open Source Toolkit for Arabic Natural Language Processing
We introduce SinaTools, an open-source Python package for Arabic natural language processing and understanding. SinaTools is a unified package allowing people to integrate it into their system workflow, offering solution…
BenchmarkingLemmatizationnamed-entity-recognitionNamed Entity Recognition+7Morphological Tagging and Lemmatization of Albanian: A Manually Annotated Corpus and Neural Models
In this paper, we present the first publicly available part-of-speech and morphologically tagged corpus for the Albanian language, as well as a neural morphological tagger and lemmatizer trained on it. There is currently…
LemmatizationMorphological TaggingPart-Of-Speech TaggingCross-Lingual Lemmatization and Morphology Tagging with Two-Stage Multilingual BERT Fine-Tuning
We present our CHARLES-SAARLAND system for the SIGMORPHON 2019 Shared Task on Crosslinguality and Context in Morphology, in task 2, Morphological Analysis and Lemmatization in Context. We leverage the multilingual BERT m…
LemmatizationMorphological AnalysisTask 2Recent advancements in computational morphology : A comprehensive survey
Computational morphology handles the language processing at the word level. It is one of the foundational tasks in the NLP pipeline for the development of higher level NLP applications. It mainly deals with the processin…
Boundary DetectionLemmatizationSurvey