This paper investigates linguistic complexity across natural languages from a corpus-based perspective and relies on the assumptions of linguistic profiling as a methodological framework. We focus in particular on the domain of syntactic complexity and analyze the distribution of a set of features taken as proxies of complexity phenomena at the sentence level, which were extracted from 63 treebanks annotated according to the Universal Dependencies formalism. This dataset guarantees that the features considered are modeling the same linguistic phenomena in different treebanks, allowing reliable comparison among languages. We show that our approach is able to identify tendencies of structural proximity between languages not necessarily in line with typologically-supported classification, thus shedding light on new corpus-based findings.
Why is this language complex? Cherry-pick the optimal set of features in multilingual treebanks
D Brunato;G Venturi
2022
Abstract
This paper investigates linguistic complexity across natural languages from a corpus-based perspective and relies on the assumptions of linguistic profiling as a methodological framework. We focus in particular on the domain of syntactic complexity and analyze the distribution of a set of features taken as proxies of complexity phenomena at the sentence level, which were extracted from 63 treebanks annotated according to the Universal Dependencies formalism. This dataset guarantees that the features considered are modeling the same linguistic phenomena in different treebanks, allowing reliable comparison among languages. We show that our approach is able to identify tendencies of structural proximity between languages not necessarily in line with typologically-supported classification, thus shedding light on new corpus-based findings.| Campo DC | Valore | Lingua |
|---|---|---|
| dc.authority.ancejournal | LINGUISTICS VANGUARD | en |
| dc.authority.orgunit | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | en |
| dc.authority.people | D Brunato | en |
| dc.authority.people | G Venturi | en |
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| dc.date.accessioned | 2024/02/20 15:01:30 | - |
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| dc.date.firstsubmission | 2025/01/24 12:43:53 | * |
| dc.date.issued | 2022 | - |
| dc.date.submission | 2025/01/29 10:10:41 | * |
| dc.description.abstracteng | This paper investigates linguistic complexity across natural languages from a corpus-based perspective and relies on the assumptions of linguistic profiling as a methodological framework. We focus in particular on the domain of syntactic complexity and analyze the distribution of a set of features taken as proxies of complexity phenomena at the sentence level, which were extracted from 63 treebanks annotated according to the Universal Dependencies formalism. This dataset guarantees that the features considered are modeling the same linguistic phenomena in different treebanks, allowing reliable comparison among languages. We show that our approach is able to identify tendencies of structural proximity between languages not necessarily in line with typologically-supported classification, thus shedding light on new corpus-based findings. | - |
| dc.description.affiliations | Istituto di Linguistica Computazionale "A. Zampolli" | - |
| dc.description.allpeople | Brunato, D; Venturi, G | - |
| dc.description.allpeopleoriginal | D. Brunato; G. Venturi | en |
| dc.description.fulltext | open | en |
| dc.description.numberofauthors | 2 | - |
| dc.identifier.doi | 10.1515/lingvan-2021-0017 | en |
| dc.identifier.isi | WOS:000870822600001 | - |
| dc.identifier.scopus | 2-s2.0-85141200922 | - |
| dc.identifier.uri | https://hdl.handle.net/20.500.14243/420475 | - |
| dc.identifier.url | https://www.degruyter.com/document/doi/10.1515/lingvan-2021-0017/html | en |
| dc.language.iso | eng | en |
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| dc.relation.firstpage | 59 | en |
| dc.relation.lastpage | 72 | en |
| dc.relation.medium | ELETTRONICO | en |
| dc.relation.numberofpages | 13 | en |
| dc.subject.keywordseng | Linguistic Complexity | - |
| dc.subject.keywordseng | Linguistic Profiling | - |
| dc.subject.keywordseng | Universal Dependencies | - |
| dc.subject.singlekeyword | Linguistic Complexity | * |
| dc.subject.singlekeyword | Linguistic Profiling | * |
| dc.subject.singlekeyword | Universal Dependencies | * |
| dc.title | Why is this language complex? Cherry-pick the optimal set of features in multilingual treebanks | en |
| dc.type.circulation | Internazionale | en |
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| dc.type.referee | Esperti anonimi | en |
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| iris.isi.extTitle | Why is this language complex? Cherry-pick the optimal set of features in multilingual treebanks | - |
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| isi.contributor.affiliation | Inst Computat Linguist A Zampolli ILC CNR | - |
| isi.contributor.affiliation | Inst Computat Linguist A Zampolli ILC CNR | - |
| isi.contributor.country | Italy | - |
| isi.contributor.country | Italy | - |
| isi.contributor.name | Dominique | - |
| isi.contributor.name | Giulia | - |
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| isi.contributor.surname | Brunato | - |
| isi.contributor.surname | Venturi | - |
| isi.date.issued | 2023 | * |
| isi.description.abstracteng | This paper investigates linguistic complexity across natural languages from a corpus-based perspective and relies on the assumptions of linguistic profiling as a methodological framework. We focus in particular on the domain of syntactic complexity and analyze the distribution of a set of features taken as proxies of complexity phenomena at sentence level, which were extracted from 63 treebanks annotated according to the Universal Dependencies formalism. This dataset guarantees that the features considered are modeling the same linguistic phenomena in different treebanks, allowing reliable comparison among languages. We show that our approach is able to identify tendencies of structural proximity between languages not necessarily in line with typologically-supported classification, thus shedding light on new corpus-based findings. | * |
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| scopus.contributor.name | Dominique | - |
| scopus.contributor.name | Giulia | - |
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| scopus.contributor.subaffiliation | Institute for Computational Linguistics A. Zampolli (ILC-CNR); | - |
| scopus.contributor.surname | Brunato | - |
| scopus.contributor.surname | Venturi | - |
| scopus.date.issued | 2023 | * |
| scopus.description.abstracteng | This paper investigates linguistic complexity across natural languages from a corpus-based perspective and relies on the assumptions of linguistic profiling as a methodological framework. We focus in particular on the domain of syntactic complexity and analyze the distribution of a set of features taken as proxies of complexity phenomena at sentence level, which were extracted from 63 treebanks annotated according to the Universal Dependencies formalism. This dataset guarantees that the features considered are modeling the same linguistic phenomena in different treebanks, allowing reliable comparison among languages. We show that our approach is able to identify tendencies of structural proximity between languages not necessarily in line with typologically-supported classification, thus shedding light on new corpus-based findings. | * |
| scopus.description.allpeopleoriginal | Brunato D.; Venturi G. | * |
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| scopus.subject.keywords | linguistic complexity; linguistic profiling; syntactic domain; universal dependencies; | * |
| scopus.title | Why is this language complex? Cherry-pick the optimal set of features in multilingual treebanks | * |
| scopus.titleeng | Why is this language complex? Cherry-pick the optimal set of features in multilingual treebanks | * |
| Appare nelle tipologie: | 01.01 Articolo in rivista | |
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