Papers Morphological Tagging
“Morphological Tagging” 태그가 달린 논문 95편 · 필터 해제
Neural Morphological Tagging for Nguni Languages
Morphological parsing is the task of decomposing words into morphemes, the smallest units of meaning in a language, and labelling their grammatical roles. It is a particularly challenging task for agglutinative languages…
Morphological TaggingContext Aware Lemmatization and Morphological Tagging Method in Turkish
The smallest part of a word that defines the word is called a word root. Word roots are used to increase success in many applications since they simplify the word. In this study, the lemmatization model, which is a word …
LemmatizationMorphological TaggingGR-NLP-TOOLKIT: An Open-Source NLP Toolkit for Modern Greek
We present GR-NLP-TOOLKIT, an open-source natural language processing (NLP) toolkit developed specifically for modern Greek. The toolkit provides state-of-the-art performance in five core NLP tasks, namely part-of-speech…
Dependency ParsingMorphological Taggingnamed-entity-recognitionNamed Entity Recognition+2Latin Treebanks in Review: An Evaluation of Morphological Tagging Across Time
Existing Latin treebanks draw from Latin's long written tradition, spanning 17 centuries and a variety of cultures. Recent efforts have begun to harmonize these treebanks' annotations to better train and evaluate morphol…
Morphological TaggingPOSHeidelberg-Boston @ SIGTYP 2024 Shared Task: Enhancing Low-Resource Language Analysis With Character-Aware Hierarchical Transformers
Historical languages present unique challenges to the NLP community, with one prominent hurdle being the limited resources available in their closed corpora. This work describes our submission to the constrained subtask …
LemmatizationMorphological TaggingPOSPOS TaggingJoint Lemmatization and Morphological Tagging with LEMMING
We present LEMMING, a modular log-linear model that jointly models lemmatization and tagging and supports the integration of arbitrary global features. It is trainable on corpora annotated with gold standard tags and lem…
LemmatizationMorphological TaggingDictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew
We present DictaBERT, a new state-of-the-art pre-trained BERT model for modern Hebrew, outperforming existing models on most benchmarks. Additionally, we release three fine-tuned versions of the model, designed to perfor…
Morphological TaggingQuestion AnsweringSegmentationSentence Embedding Models for Ancient Greek Using Multilingual Knowledge Distillation
Contextual language models have been trained on Classical languages, including Ancient Greek and Latin, for tasks such as lemmatization, morphological tagging, part of speech tagging, authorship attribution, and detectio…
Authorship AttributionKnowledge DistillationLemmatizationMorphological Tagging+10LatinCy: Synthetic Trained Pipelines for Latin NLP
This paper introduces LatinCy, a set of trained general purpose Latin-language "core" pipelines for use with the spaCy natural language processing framework. The models are trained on a large amount of available Latin da…
LemmatizationMorphological TaggingPOSPOS TaggingSanskritShala: A Neural Sanskrit NLP Toolkit with Web-Based Interface for Pedagogical and Annotation Purposes
We present a neural Sanskrit Natural Language Processing (NLP) toolkit named SanskritShala (a school of Sanskrit) to facilitate computational linguistic analyses for several tasks such as word segmentation, morphological…
Dependency ParsingMorphological TaggingWord EmbeddingsWord SimilarityPost-hoc analysis of Arabic transformer models
Arabic is a Semitic language which is widely spoken with many dialects. Given the success of pre-trained language models, many transformer models trained on Arabic and its dialects have surfaced. While there have been an…
Morphological TaggingUDapter: Typology-based Language Adapters for Multilingual Dependency Parsing and Sequence Labeling
Recent advances in multilingual language modeling have brought the idea of a truly universal parser closer to reality. However, such models are still not immune to the “curse of multilinguality”: Cross-language interfere…
Dependency ParsingLanguage ModelingLanguage ModellingMorphological Tagging+3A Novel Multi-Task Learning Approach for Context-Sensitive Compound Type Identification in Sanskrit
The phenomenon of compounding is ubiquitous in Sanskrit. It serves for achieving brevity in expressing thoughts, while simultaneously enriching the lexical and structural formation of the language. In this work, we focus…
Dependency ParsingMorphological TaggingMulti-Task LearningBenchmarking zero-shot and few-shot approaches for tokenization, tagging, and dependency parsing of Tagalog text
The grammatical analysis of texts in any written language typically involves a number of basic processing tasks, such as tokenization, morphological tagging, and dependency parsing. State-of-the-art systems can achieve h…
BenchmarkingData AugmentationDependency ParsingMorphological Tagging+1TurkishDelightNLP: A Neural Turkish NLP Toolkit
We introduce a neural Turkish NLP toolkit called TurkishDelightNLP that performs computational linguistic analyses from morphological level to semantic level that involves tasks such as stemming, morphological segmentati…
Dependency ParsingMorphological Taggingnamed-entity-recognitionNamed Entity Recognition+5An ELECTRA Model for Latin Token Tagging Tasks
This report describes the KU Leuven / Brepols-CTLO submission to EvaLatin 2022. We present the results of our current small Latin ELECTRA model, which will be expanded to a larger model in the future. For the lemmatizati…
LEMMALemmatizationmodelMorphological Tagging+2Transformer-based Part-of-Speech Tagging and Lemmatization for Latin
The paper presents a submission to the EvaLatin 2022 shared task. Our system places first for lemmatization, part-of-speech and morphological tagging in both closed and open modalities. The results for cross-genre and cr…
LemmatizationMorphological TaggingPart-Of-Speech TaggingInterpreting Arabic Transformer Models
Arabic is a Semitic language which is widely spoken with many dialects. Given the success of pre-trained language models, many transformer models trained on Arabic and its dialects have surfaced. While these models have …
Morphological TaggingPOSPOS TaggingWord Reordering for Zero-shot Cross-lingual Structured Prediction
Adapting word order from one language to another is a key problem in cross-lingual structured prediction. Current sentence encoders (e.g., RNN, Transformer with position embeddings) are usually word order sensitive. Even…
Dependency ParsingMorphological TaggingPOSPosition+4A Language-aware Approach to Code-switched Morphological Tagging
Morphological tagging of code-switching (CS) data becomes more challenging especially when language pairs composing the CS data have different morphological representations. In this paper, we explore a number of ways of …
Morphological Tagging