About: Not an Interlingua, But Close: Comparison of English AMRs to Chinese and Czech

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Not an Interlingua, But Close: Comparison of English AMRs to Chinese and Czech Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Abstract Meaning Representations (AMRs) are rooted, directional and labeled graphs that abstract away from morpho-syntactic idiosyncrasies such as word category (verbs and nouns), word order, and function words (determiners, some prepositions). Because these syntactic idiosyncrasies account for many of the cross-lingual differences, it would be interesting to see if this representation can serve, e.g., as a useful, minimally divergent transfer layer in machine translation. To answer this question, we have translated 100 English sentences that have existing AMRs into Chinese and Czech to create AMRs for them. A cross-linguistic comparison of English to Chinese and Czech AMRs reveals both cases where the AMRs for the language pairs align well structurally and cases of linguistic divergence. We found that the level of compatibility of AMR between English and Chinese is higher than between English and Czech. We believe this kind of comparison is beneficial to further refining the annotation standards for Abstract Meaning Representations (AMRs) are rooted, directional and labeled graphs that abstract away from morpho-syntactic idiosyncrasies such as word category (verbs and nouns), word order, and function words (determiners, some prepositions). Because these syntactic idiosyncrasies account for many of the cross-lingual differences, it would be interesting to see if this representation can serve, e.g., as a useful, minimally divergent transfer layer in machine translation. To answer this question, we have translated 100 English sentences that have existing AMRs into Chinese and Czech to create AMRs for them. A cross-linguistic comparison of English to Chinese and Czech AMRs reveals both cases where the AMRs for the language pairs align well structurally and cases of linguistic divergence. We found that the level of compatibility of AMR between English and Chinese is higher than between English and Czech. We believe this kind of comparison is beneficial to further refining the annotation standards for (en)
Title	Not an Interlingua, But Close: Comparison of English AMRs to Chinese and Czech Not an Interlingua, But Close: Comparison of English AMRs to Chinese and Czech (en)
skos:prefLabel	Not an Interlingua, But Close: Comparison of English AMRs to Chinese and Czech Not an Interlingua, But Close: Comparison of English AMRs to Chinese and Czech (en)
skos:notation	RIV/00216208:11320/14:10289430!RIV15-MSM-11320___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GP13-03351P), P(LH12093), P(LM2010013)
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Hajič, Jan Bojar, Ondřej Urešová, Zdeňka
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Karlova v Praze / Matematicko-fyzikální fakulta
http://linked.open...dnocenehoVysledku	32890
http://linked.open...ai/riv/idVysledku	RIV/00216208:11320/14:10289430
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	czech; chinese; amrs; english; comparison; close; interlingua (en)
http://linked.open.../riv/klicoveSlovo	english comparison close czech chinese interlingua amrs
http://linked.open...ontrolniKodProRIV	[BB3A97331A3C]
http://linked.open...v/mistoKonaniAkce	Reykjavík, Iceland
http://linked.open...i/riv/mistoVydani	Reykjavík, Iceland
http://linked.open...i/riv/nazevZdroje	Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC 2014)
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	6 (xsd:int)
http://linked.open...vavai/riv/projekt	Srovnání české a anglické valence sloves na základě korpusového materiálu (teorie a praxe) Machine Translation using automatically acquired semantic information (Richer Representations for Machine Translation) LINDAT-CLARIN: Institute for analysis, processing and distribution of linguistic data
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Bojar, Ondřej Hajič, Jan Urešová, Zdeňka Palmer, Martha Xue, Nianwen Zhang, Xiuhong
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-05-26 (xsd:date)
number of pages	8 (xsd:int)
http://purl.org/ne...btex#hasPublisher	European Language Resources Association
https://schema.org/isbn	978-2-9517408-8-4
http://localhost/t...ganizacniJednotka	11320

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 77 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software