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Found 24 papers, 5 papers with code
Very-large Scale Parsing and Normalization of Wiktionary Morphological Paradigms
Wiktionary is a large-scale resource for cross-lingual lexical information with great potential utility for machine translation (MT) and many other NLP tasks, especially automatic morphological analysis and generation.
Remote Elicitation of Inflectional Paradigms to Seed Morphological Analysis in Low-Resource Languages
We present methods inspired by linguistic fieldwork for gathering inflectional paradigm data in a machine-readable, interoperable format from remotely-located speakers of any language.
A Rich Morphological Tagger for English: Exploring the Cross-Linguistic Tradeoff Between Morphology and Syntax
A traditional claim in linguistics is that all human languages are equally expressive{---}able to convey the same wide range of meanings.
Neural Graphical Models over Strings for Principal Parts Morphological Paradigm Completion
Many of the world{'}s languages contain an abundance of inflected forms for each lexeme.
CoNLL-SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 Languages
In sub-task 2, systems were given a lemma and some of its specific inflected forms, and asked to complete the inflectional paradigm by predicting all of the remaining inflected forms.
Paradigm Completion for Derivational Morphology
The generation of complex derived word forms has been an overlooked problem in NLP; we fill this gap by applying neural sequence-to-sequence models to the task.
On the Diachronic Stability of Irregularity in Inflectional Morphology
Many languages' inflectional morphological systems are replete with irregulars, i. e., words that do not seem to follow standard inflectional rules.
Unsupervised Disambiguation of Syncretism in Inflected Lexicons
Lexical ambiguity makes it difficult to compute various useful statistics of a corpus.
On the Complexity and Typology of Inflectional Morphological Systems
We quantify the linguistic complexity of different languages' morphological systems.
Recurrent Neural Networks in Linguistic Theory: Revisiting Pinker and Prince (1988) and the Past Tense Debate
We suggest that the empirical performance of modern networks warrants a re-examination of their utility in linguistic and cognitive modeling.
The CoNLL--SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection
Apart from extending the number of languages involved in earlier supervised tasks of generating inflected forms, this year the shared task also featured a new second task which asked participants to inflect words in sentential context, similar to a cloze task.
UniMorph 2.0: Universal Morphology
The Universal Morphology UniMorph project is a collaborative effort to improve how NLP handles complex morphology across the world's languages.
The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection
The SIGMORPHON 2019 shared task on cross-lingual transfer and contextual analysis in morphology examined transfer learning of inflection between 100 language pairs, as well as contextual lemmatization and morphosyntactic description in 66 languages.
UniMorph 3.0: Universal Morphology
The project comprises two major thrusts: a language-independent feature schema for rich morphological annotation and a type-level resource of annotated data in diverse languages realizing that schema.
Neural Polysynthetic Language Modelling
In the literature, languages like Finnish or Turkish are held up as extreme examples of complexity that challenge common modelling assumptions.
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection
Systems were developed using data from 45 languages and just 5 language families, fine-tuned with data from an additional 45 languages and 10 language families (13 in total), and evaluated on all 90 languages.
Processing South Asian Languages Written in the Latin Script: the Dakshina Dataset
This paper describes the Dakshina dataset, a new resource consisting of text in both the Latin and native scripts for 12 South Asian languages.
Structured abbreviation expansion in context
Ad hoc abbreviations are commonly found in informal communication channels that favor shorter messages.
Spelling convention sensitivity in neural language models
Using a set of probe words unique to either British or American English, we first establish that training corpora exhibit substantial (though not total) consistency.
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages
We evaluate commonly used models on the benchmark.
Mockingbird at the SIGTYP 2022 Shared Task: Two Types of Models forthe Prediction of Cognate Reflexes
For reflex generation, the missing reflexes are treated as “masked pixels” in an “image” which is a representation of an entire cognate set across a language family.
