Challenge: Existing morphological lexicons are limited in scope and are not universally accepted . morphology lexical information is encoded into morphologists or gathered in lexiconics .
Approach: They propose a multilingual collection of morphological lexicons that follow the Universal Dependencies initiative.
Outcome: The proposed collection of 53 morphological lexicons covers 38 languages . they have been shown to improve part-of-speech tagging and parsing accuracy .

Similar Papers

CoNLL-UL: Universal Morphological Lattices for Universal Dependency Parsing (L18-1)

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Challenge: Using the universal dependencies framework, we address the need for a universal representation of morphological analysis that can capture alternative morphology of surface tokens and is compatible with the segmentation and morphologic annotation guidelines prescribed for UD treebanks.
Approach: They propose a new annotation format for word lattices that represent morphological analyses and a resource that obeys this format for a range of typologically different languages.
Outcome: The proposed model can capture alternative morphological analyses of surface tokens and is compatible with the segmentation and morphology guidelines prescribed for UD treebanks.
Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection (2020.lrec-1)

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Challenge: Universal Dependencies is an open community effort to create cross-linguistically consistent treebank annotation for many languages.
Approach: They describe version 2 of the universal guidelines and discuss major changes from UD v1 to UD 2 . they propose a morphological layer, a syntactic layer and a word segmentation layer .
Outcome: The proposed treebanks are available for 90 languages and have been updated to meet the needs of multilingual parsers and researchers.
PortiLexicon-UD: a Portuguese Lexical Resource according to Universal Dependencies Model (2022.lrec-1)

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Challenge: lexical resource for Brazilian Portuguese with 1,221,218 entries, according to the Universal Dependencies model and guidelines.
Approach: They propose to build a large and freely available lexicon for Portuguese that delivers morphosyntactic information according to the Universal Dependencies model.
Outcome: The proposed lexical resource has high language coverage and good quality data.
Towards Universal Segmentations: UniSegments 1.0 (2022.lrec-1)

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Challenge: Existing data resources for morphological segmentation are limited to 32 languages . a large number of word forms exist, with some sub-parts being "recycled" many times .
Approach: They propose a multilingual data resource for morphological segmentation in 32 languages . they analyze diversity of how individual linguistic phenomena are captured across them .
Outcome: The proposed scheme is based on 17 existing data resources relevant for segmentation in 32 languages.
Universal Dependencies Version 2 for Japanese (L18-1)

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Challenge: UD Japanese resources are built on automatic conversion from several treebanks.
Approach: They propose to port the word delimitation, POS, and syntactic relations of existing treebanks to UD Japanese . they discuss the issues of the UD scheme found through porting of the Japanese language .
Outcome: The proposed UD Japanese resources are based on automatic conversion from treebanks.
Unifying Morphology Resources with OntoLex-Morph. A Case Study in German (2022.lrec-1)

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Challenge: OntoLex is a widely used community standard for machine-readable lexical resources on the web.
Approach: They propose a module for representing morphology that can be used to encode and integrate morphological resources on a unified basis.
Outcome: The proposed module can be used to represent morphological resources on a unified basis.
75 Languages, 1 Model: Parsing Universal Dependencies Universally (D19-1)

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Challenge: UDify is a multilingual multi-task model that can predict universal part-of-speech, morphological features, lemmas, and dependency trees.
Approach: They evaluate UDify, a multilingual multi-task model capable of predicting universal part-of-speech, morphological features, lemmas, and dependency trees simultaneously for all 124 Universal Dependencies treebanks across 75 languages.
Outcome: The proposed model can predict universal part-of-speech, morphological features, lemmas, and dependency trees for all 124 treebanks across 75 languages.
Towards a unified framework for bilingual terminology extraction of single-word and multi-word terms (C18-1)

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Challenge: Existing methods for extracting bilingual terminology from comparable corpora are limited to a set of syntactic patterns.
Approach: They propose a framework for aligning bilingual terms independently of term lengths . they introduce some enhancements to the context-based and neural network based approaches .
Outcome: The proposed framework improves the performance of the context-based and neural network based approaches and can be adapted in specialized domains.
Development of a Multilingual CCG Treebank via Universal Dependencies Conversion (2022.lrec-1)

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Challenge: Combinatory Categorial Grammar (CCG) is a lexicalized grammar formalism that can capture both syntactic and semantic information.
Approach: They propose an algorithm to convert UD treebanks to CCG treebank and propose future extensions.
Outcome: The proposed algorithm performs lexical, sentential, and syntactic rule coverage analysis, as well as CCG parsing experiments.
UCxn: Typologically-Informed Annotation of Constructions Atop Universal Dependencies (2024.lrec-main)

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Challenge: Grammatical constructions that convey meaning through a particular combination of several morphosyntactic elements are not labeled holistically.
Approach: They propose to augment UD annotations with a ‘UCxn’ annotation layer for such meaning-bearing grammatical constructions and to approach this in a typologically informed way so that morphosyntactic strategies can be compared across languages.
Outcome: The proposed annotation layer could be used to annotate meaning-bearing constructions across languages and to compare them across languages.

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