Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Understanding
Natural Language Processing
›
Understanding
›
Morphology
103 directly classified papers
Papers per year
2016: 5
2017: 13
2018: 10
2019: 16
2020: 10
2021: 7
2022: 3
2023: 12
2024: 9
2025: 18
Papers
Context Sensitive Neural Lemmatization with Lematus
NAACL 2018
Neural Factor Graph Models for Cross-lingual Morphological Tagging
ACL 2018
Noise-Robust Morphological Disambiguation for Dialectal Arabic
NAACL 2018
Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit
EMNLP 2018
LemmaTag: Jointly Tagging and Lemmatizing for Morphologically Rich Languages with BRNNs
EMNLP 2018
Phonological Features for Morphological Inflection
EMNLP 2018
A Characterwise Windowed Approach to Hebrew Morphological Segmentation
EMNLP 2018
Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?
EMNLP 2018
Imitation Learning for Neural Morphological String Transduction
EMNLP 2018
‘Indicatements’ that character language models learn English morpho-syntactic units and regularities
EMNLP 2018
Joint Prediction of Morphosyntactic Categories for Fine-Grained Arabic Part-of-Speech Tagging Exploiting Tag Dictionary Information
CONLL 2017
Morphological Analysis of the Dravidian Language Family
EACL 2017
MORSE: Semantic-ally Drive-n MORpheme SEgment-er
ACL 2017
A Rich Morphological Tagger for English: Exploring the Cross-Linguistic Tradeoff Between Morphology and Syntax
EACL 2017
Using support vector machines and state-of-the-art algorithms for phonetic alignment to identify cognates in multi-lingual wordlists
EACL 2017
Universal Dependencies and Morphology for Hungarian - and on the Price of Universality
EACL 2017
From Segmentation to Analyses: a Probabilistic Model for Unsupervised Morphology Induction
EACL 2017
Cross-lingual Character-Level Neural Morphological Tagging
EMNLP 2017
Context-Aware Prediction of Derivational Word-forms
EACL 2017
Morphological Analysis without Expert Annotation
EACL 2017
Universal Joint Morph-Syntactic Processing: The Open University of Israel’s Submission to The CoNLL 2017 Shared Task
CONLL 2017
Learning from Relatives: Unified Dialectal Arabic Segmentation
CONLL 2017
Character-Aware Neural Morphological Disambiguation
ACL 2017
The Role of Context in Neural Morphological Disambiguation
COLING 2016
Word Segmentation in Sanskrit Using Path Constrained Random Walks
COLING 2016
<
1
2
3
4
5
>