Morphological Tagging
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Morphological tagging is the task of assigning labels to a sequence of tokens that describe them morphologically. As compared to Part-of-speech tagging, morphological tagging also considers morphological features, such as case, gender or the tense of verbs.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/FredericGodin/ContextualDecomposition-NLP
공식 코드https://github.com/NeldaKote/Albanian-POS
공식 코드Morphological Tagging and Lemmatization of Albanian: A Manually Annotated Corpus and Neural Models
https://github.com/OnlpLab/Hebrew-Sentiment-Data
공식 코드AlephBERT:A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With
https://github.com/Saurav0074/morph_analyzer
공식 코드https://github.com/TickleForce/ancient-greek-datasets
공식 코드Sentence Embedding Models for Ancient Greek Using Multilingual Knowledge Distillation
https://github.com/ashim95/sanskrit-morphological-taggers
공식 코드https://github.com/ashishgupta2598/sacti
공식 코드A Novel Multi-Task Learning Approach for Context-Sensitive Compound Type Identification in Sanskrit
https://github.com/boknilev/nmt-repr-analysis
공식 코드What do Neural Machine Translation Models Learn about Morphology?
https://github.com/bowphs/sigtyp-2024-hierarchical-transformers
공식 코드https://github.com/ispras-texterra/word-embeddings-eval-hy
공식 코드Word Embeddings for the Armenian Language: Intrinsic and Extrinsic Evaluation
https://github.com/jivnesh/sanskritshala
공식 코드https://github.com/kevinkrahn/ancient-greek-datasets
공식 코드Sentence Embedding Models for Ancient Greek Using Multilingual Knowledge Distillation
https://github.com/nlp-uoregon/trankit
공식 코드Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing
https://github.com/nlpaueb/gr-nlp-toolkit
공식 코드https://github.com/slanglab/latin-standardized-treebanks
공식 코드Latin Treebanks in Review: An Evaluation of Morphological Tagging Across Time
https://github.com/8400thehealthnetwork/hebsafeharbor
AlephBERT:A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With
https://github.com/Demfier/ebm-sanskrit-word-segmentation
https://github.com/EggplantElf/sclem2017-tagger
https://github.com/google/meta_tagger
Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings
https://github.com/qGentry/MetaBiLSTM
Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings
https://github.com/ziegler-ingo/cleavage_prediction
Neural Morphological Tagging from Characters for Morphologically Rich Languages
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.