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Found 44 papers, 9 papers with code
Known Words Will Do: Unknown Concept Translation via Lexical Relations
Translating into low-resource languages is challenging due to the scarcity of training data.
Deciphering and Characterizing Out-of-Vocabulary Words for Morphologically Rich Languages
This paper presents a detailed foundational empirical case study of the nature of out-of-vocabulary words encountered in modern text in a moderate-resource language such as Bulgarian, and a multi-faceted distributional analysis of the underlying word-formation processes that can aid in their compositional translation, tagging, parsing, language modeling, and other NLP tasks.
On the Robustness of Cognate Generation Models
We evaluate two popular neural cognate generation models’ robustness to several types of human-plausible noise (deletion, duplication, swapping, and keyboard errors, as well as a new type of error, phonological errors).
Automatic Construction of Morphologically Motivated Translation Models for Highly Inflected, Low-Resource Languages
Statistical Machine Translation (SMT) of highly inflected, low-resource languages suffers from the problem of low bitext availability, which is exacerbated by large inflectional paradigms.
Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions
Of particular interest, languages on the same branch of our phylogenetic tree are notably similar, whereas languages from separate branches are no more similar than chance.
On Pronunciations in Wiktionary: Extraction and Experiments on Multilingual Syllabification and Stress Prediction
We constructed parsers for five non-English editions of Wiktionary, which combined with pronunciations from the English edition, comprises over 5. 3 million IPA pronunciations, the largest pronunciation lexicon of its kind.
SIGMORPHON 2021 Shared Task on Morphological Reinflection: Generalization Across Languages
This year's iteration of the SIGMORPHON Shared Task on morphological reinflection focuses on typological diversity and cross-lingual variation of morphosyntactic features.
UniMorph 4.0: 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.
Wiktionary Normalization of Translations and Morphological Information
We extend the Yawipa Wiktionary Parser (Wu and Yarowsky, 2020) to extract and normalize translations from etymology glosses, and morphological form-of relations, resulting in 300K unique translations and over 4 million instances of 168 annotated morphological relations.
Neural Transduction for Multilingual Lexical Translation
We present a method for completing multilingual translation dictionaries.
Fine-grained Morphosyntactic Analysis and Generation Tools for More Than One Thousand Languages
Exploiting the broad translation of the Bible into the world{'}s languages, we train and distribute morphosyntactic tools for approximately one thousand languages, vastly outstripping previous distributions of tools devoted to the processing of inflectional morphology.
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.
An Analysis of Massively Multilingual Neural Machine Translation for Low-Resource Languages
We find that best practices in this domain are highly language-specific: adding more languages to a training set is often better, but too many harms performance{---}the best number depends on the source language.
The Johns Hopkins University Bible Corpus: 1600+ Tongues for Typological Exploration
The corpus consists of over 4000 unique translations of the Christian Bible and counting.
Computational Etymology and Word Emergence
We developed an extensible, comprehensive Wiktionary parser that improves over several existing parsers.
Multilingual Dictionary Based Construction of Core Vocabulary
We propose a new functional definition and construction method for core vocabulary sets for multiple applications based on the relative coverage of a target concept in thousands of bilingual dictionaries.
Induced Inflection-Set Keyword Search in Speech
We investigate the problem of searching for a lexeme-set in speech by searching for its inflectional variants.
Modeling Color Terminology Across Thousands of Languages
There is an extensive history of scholarship into what constitutes a "basic" color term, as well as a broadly attested acquisition sequence of basic color terms across many languages, as articulated in the seminal work of Berlin and Kay (1969).
Learning Morphosyntactic Analyzers from the Bible via Iterative Annotation Projection across 26 Languages
A large percentage of computational tools are concentrated in a very small subset of the planet{'}s languages.
Massively Multilingual Adversarial Speech Recognition
We report on adaptation of multilingual end-to-end speech recognition models trained on as many as 100 languages.
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 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.
Marrying Universal Dependencies and Universal Morphology
The Universal Dependencies (UD) and Universal Morphology (UniMorph) projects each present schemata for annotating the morphosyntactic details of language.
Deriving Consensus for Multi-Parallel Corpora: an English Bible Study
We present a method which generates a single consensus between multi-parallel corpora.
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.
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.
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.
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.
A Representation Learning Framework for Multi-Source Transfer Parsing
Cross-lingual model transfer has been a promising approach for inducing dependency parsers for low-resource languages where annotated treebanks are not available.
Cross-lingual zero-shot dependency parsing
Representation Learning
