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

Showing 6170 of 135 papers

TitleStatusHype
Online Segment to Segment Neural Transduction0
Phonological Features for Morphological Inflection0
POS induction with distributional and morphological information using a distance-dependent Chinese restaurant process0
Posterior Attention Models for Sequence to Sequence Learning0
Robust multilingual statistical morphological generation models0
Searching for Search Errors in Neural Morphological Inflection0
Seq2seq for Morphological Reinflection: When Deep Learning Fails0
Sigmorphon 2019 Task 2 system description paper: Morphological analysis in context for many languages, with supervision from only a few0
SIGMORPHON 2020 Task 0 System Description: ETH Z\"urich Team0
SIGMORPHON 2022 Task 0 Submission Description: Modelling Morphological Inflection with Data-Driven and Rule-Based Approaches0
Show:102550
← PrevPage 7 of 14Next →

No leaderboard results yet.