ACCURAT corpus of comparable sentences

157 Last view: 2024-09-06

ACCURAT corpus of comparable sentences

The corpus contains comparable sentence pairs extracted from news comparable corpora for 12 language pairs: English-Croatian, English- Greek, English-Estonian, English-Latvian, English-Lithuanian, English-Romanian, English-Slovenian, Greek-Romanian, Latvian-Lithuanian, Romanian-German, Romanian-Lithuanian and German-English.

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DistributionAvailability

Available - Unrestricted Use

Licence

CC - BY

Distribution Access/Medium: Downloadable

Contact Person

Aivars Bērziņš

text

Multilingual text corpusLanguages

Romanian (23 820 Sentences) English (23 820 Sentences)

Linguality

Linguality type: Multilingual

Multi-linguality type: Comparable

Size

23 820 Sentences

Character encoding

UTF - 8

Domains

News

Modalities

Written Language

Creation

Creation mode: Automatic

Multilingual text corpusLanguages

Lithuanian (9,470 Sentences) Romanian (9,470 Sentences)

Linguality

Linguality type: Multilingual

Multi-linguality type: Comparable

Size

9,470 Sentences

Character encoding

UTF - 8

Domains

News

Modalities

Written Language

Creation

Creation mode: Automatic

Multilingual text corpusLanguages

Estonian (19 048 Sentences) English (19 048 Sentences)

Linguality

Linguality type: Multilingual

Multi-linguality type: Comparable

Size

19 048 Sentences

Character encoding

UTF - 8

Domains

News

Modalities

Written Language

Creation

Creation mode: Automatic

Multilingual text corpusLanguages

Croatian (36 663 Sentences) English (36 663 Sentences)

Linguality

Linguality type: Multilingual

Multi-linguality type: Comparable

Size

36 663 Sentences

Character encoding

UTF - 8

Domains

News

Modalities

Written Language

Creation

Creation mode: Automatic

Multilingual text corpusLanguages

Greek (6,641 Sentences) English (6,641 Sentences)

Linguality

Linguality type: Multilingual

Multi-linguality type: Comparable

Size

6,641 Sentences

Character encoding

UTF - 8

Domains

News

Modalities

Written Language

Creation

Creation mode: Automatic

Multilingual text corpusLanguages

Latvian (112 398 Sentences) English (112 398 Sentences)

Linguality

Linguality type: Multilingual

Multi-linguality type: Comparable

Size

112 398 Sentences

Character encoding

UTF - 8

Domains

News

Modalities

Written Language

Creation

Creation mode: Automatic

Multilingual text corpusLanguages

German (10 227 Sentences) Romanian (10 227 Sentences)

Linguality

Linguality type: Multilingual

Multi-linguality type: Comparable

Size

10 227 Sentences

Character encoding

UTF - 8

Domains

News

Modalities

Written Language

Creation

Creation mode: Automatic

Multilingual text corpusLanguages

Lithuanian (33 219 Sentences) English (33 219 Sentences)

Linguality

Linguality type: Multilingual

Multi-linguality type: Comparable

Size

33 219 Sentences

Character encoding

UTF - 8

Domains

News

Modalities

Written Language

Creation

Creation mode: Automatic

Multilingual text corpusLanguages

Lithuanian (7 163 Sentences) Latvian (7 163 Sentences)

Linguality

Linguality type: Multilingual

Multi-linguality type: Comparable

Size

7 163 Sentences

Character encoding

UTF - 8

Domains

News

Modalities

Written Language

Creation

Creation mode: Automatic

Multilingual text corpusLanguages

German (13 782 Sentences) English (13 782 Sentences)

Linguality

Linguality type: Multilingual

Multi-linguality type: Comparable

Size

13 782 Sentences

Character encoding

UTF - 8

Domains

News

Modalities

Written Language

Creation

Creation mode: Automatic

Multilingual text corpusLanguages

Slovenian (67 508 Sentences) English (67 508 Sentences)

Linguality

Linguality type: Multilingual

Multi-linguality type: Comparable

Size

67 508 Sentences

Character encoding

UTF - 8

Domains

News

Modalities

Written Language

Creation

Creation mode: Automatic

Multilingual text corpusLanguages

Romanian (1,783 Sentences) Greek (1,783 Sentences)

Linguality

Linguality type: Multilingual

Multi-linguality type: Comparable

Size

1,783 Sentences

Character encoding

UTF - 8

Domains

News Conforms to Other

Modalities

Written Language

Creation

Creation mode: Automatic

Metadata

Created: 07/09/2012

Last Updated: 29/01/2013

Version

Version: final

Last Updated: 30/06/2012

Usage

Foreseen UseNlp Applications

Use NLP Specific: Bilingual Lexicon Induction, Machine Translation, Named Entity Recognition, Terminology Extraction

Actual Use - Nlp Applications

Use NLP Specific: Machine Translation

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