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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 125 of 135 papers

TitleStatusHype
An Extended Sequence Tagging Vocabulary for Grammatical Error CorrectionCode4
CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language ProcessingCode1
Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection EncodingCode1
Exact Hard Monotonic Attention for Character-Level TransductionCode1
Applying the Transformer to Character-level TransductionCode1
Probing Subphonemes in Morphology Models0
Ensemble Self-Training for Low-Resource Languages: Grapheme-to-Phoneme Conversion and Morphological Inflection0
Ensembles of Neural Morphological Inflection Models0
Cross-lingual morphological inflection with explicit alignment0
Ambiguity Resolution for Vt-N Structures in Chinese0
Analyzing Learner Understanding of Novel L2 Vocabulary0
Do RNN States Encode Abstract Phonological Alternations?0
A Three Step Training Approach with Data Augmentation for Morphological Inflection0
Autoregressive Modeling with Lookahead Attention0
DeLex, a freely-avaible, large-scale and linguistically grounded morphological lexicon for German0
BME Submission for SIGMORPHON 2021 Shared Task 0. A Three Step Training Approach with Data Augmentation for Morphological Inflection0
A Comprehensive Comparison of Neural Networks as Cognitive Models of Inflection0
BME-HAS System for CoNLL--SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection0
Backtranslation in Neural Morphological Inflection0
Can a Transformer Pass the Wug Test? Tuning Copying Bias in Neural Morphological Inflection Models0
Character-based recurrent neural networks for morphological relational reasoning0
A Resource for Studying Chatino Verbal Morphology0
Contextualization of Morphological Inflection0
Controlled Ascent: Imbuing Statistical MT with Linguistic Knowledge0
Copenhagen at CoNLL--SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding0
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