SOTAVerified

Morphological Inflection

Morphological Inflection is the task of generating a target (inflected form) word from a source word (base form), given a morphological attribute, e.g. number, tense, and person etc. It is useful for alleviating data sparsity issues in translating morphologically rich languages. The transformation from a base form to an inflected form usually includes concatenating the base form with a prefix or a suffix and substituting some characters. For example, the inflected form of a Finnish stem eläkeikä (retirement age) is eläkeiittä when the case is abessive and the number is plural.

Source: Tackling Sequence to Sequence Mapping Problems with Neural Networks

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 135 papers

TitleStatusHype
Character-based recurrent neural networks for morphological relational reasoning—0
Contextualization of Morphological Inflection—0
Controlled Ascent: Imbuing Statistical MT with Linguistic Knowledge—0
Copenhagen at CoNLL--SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding—0
Cross-lingual morphological inflection with explicit alignment—0
DeLex, a freely-avaible, large-scale and linguistically grounded morphological lexicon for German—0
Do RNN States Encode Abstract Phonological Processes?—0
Do RNN States Encode Abstract Phonological Alternations?—0
Ensemble Self-Training for Low-Resource Languages: Grapheme-to-Phoneme Conversion and Morphological Inflection—0
Ensembles of Neural Morphological Inflection Models—0
Evaluation of Finite State Morphological Analyzers Based on Paradigm Extraction from Wiktionary—0
Experiments on Morphological Reinflection: CoNLL-2018 Shared Task—0
Experiments on Morphological Reinflection: CoNLL-2017 Shared Task—0
Exploring Linguistic Probes for Morphological Generalization—0
Exploring Looping Effects in RNN-based Architectures—0
Exploring Neural Architectures And Techniques For Typologically Diverse Morphological Inflection—0
Fast and Accurate Reordering with ITG Transition RNN—0
Finding the way from \"a to a: Sub-character morphological inflection for the SIGMORPHON 2018 shared task—0
From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings—0
Generalizing Morphological Inflection Systems to Unseen Lemmas—0
Getting More Data for Low-resource Morphological Inflection: Language Models and Data Augmentation—0
How do we get there? Evaluating transformer neural networks as cognitive models for English past tense inflection—0
Improved pronunciation prediction accuracy using morphology—0
Improving Low-Resource Morphological Inflection via Self-Supervised Objectives—0
Improving Sequence to Sequence Learning for Morphological Inflection Generation: The BIU-MIT Systems for the SIGMORPHON 2016 Shared Task for Morphological Reinflection—0
Inflection Generation as Discriminative String Transduction—0
Inflection Generation for Spanish Verbs using Supervised Learning—0
Inverting and Modeling Morphological Inflection—0
IPS-WASEDA system at CoNLL--SIGMORPHON 2018 Shared Task on morphological inflection—0
JRC-Names: A freely available, highly multilingual named entity resource—0
KU-CST at CoNLL--SIGMORPHON 2018 Shared Task: a Tridirectional Model—0
Learning to Learn Morphological Inflection for Resource-Poor Languages—0
Learning Transducer Models for Morphological Analysis from Example Inflections—0
Leveraging Principal Parts for Morphological Inflection—0
Linguistically inspired morphological inflection with a sequence to sequence model—0
Linguist vs. Machine: Rapid Development of Finite-State Morphological Grammars—0
Local String Transduction as Sequence Labeling—0
Machine Translation Evaluation for Arabic using Morphologically-enriched Embeddings—0
MED: The LMU System for the SIGMORPHON 2016 Shared Task on Morphological Reinflection—0
Modeling the Graphotactics of Low-Resource Languages Using Sequential GANs—0
Morphological Inflection Generation with Multi-space Variational Encoder-Decoders—0
Morphological Reinflection in Context: CU Boulder's Submission to CoNLL--SIGMORPHON 2018 Shared Task—0
Morphology is not just a naive Bayes – UniMelb Submission to SIGMORPHON 2022 ST on Morphological Inflection—0
Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction—0
Noise Isn't Always Negative: Countering Exposure Bias in Sequence-to-Sequence Inflection Models—0
Nomen Omen. Enhancing the Latin Morphological Analyser Lemlat with an Onomasticon—0
Not as Awful as it Seems: Explaining German Case through Computational Experiments in Fluid Construction Grammar—0
One Wug, Two Wug+s Transformer Inflection Models Hallucinate Affixes—0
Online Segment to Segment Neural Transduction—0
Phonological Features for Morphological Inflection—0
Show:102550
← PrevPage 2 of 3Next →

No leaderboard results yet.