LRE Map

Finding new ways through language resources

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Modality

Ressource Use

Language Type

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Conference

Multilingual Culture-Independent Word Analogy Datasets

Written Evaluation Data,

Language Type:

Multilingual

Languages:

Croatian English Estonian Finnish Latvian Lithuanian Russian Slovenian Swedish

Availability:

Freely Available

License:

CC-BY-SA

LREC2020 Expand/Collapse

Size:

1446954 entries

Production Status:

Newly created-finished

Use:

Evaluation/Validation

Paper title:
Multilingual Culture-Independent Word Analogy Datasets
Paper track:
Evaluation/poster presentation
Paper status:
Accept Poster

Author Number	Name	Affiliation	Country
Main Contact	Matej Ulčar	Multilingual Culture-Independent Word Analogy Datasets	/N

Documentation:

None

Sense Coherence Evaluation Written Evaluation Methodology/Standards/Guidelines,

Language Type:

Monolingual

Languages:

English

Availability:

Freely Available

License:

LREC2020 Expand/Collapse

Size:

20MB

Production Status:

Newly created-finished

Use:

Machine Learning

Paper title:
Which Evaluations Uncover Sense Representations that Actually Make Sense?
Paper track:
Evaluation/oral presentation
Paper status:
Accept Oral

Author Number	Name	Affiliation	Country
Main Contact	Jordan Boyd-Graber	Sense Coherence Evaluation	/N

Documentation:

None

Obituary Zoning Corpus

Written Corpus,

Language Type:

Monolingual

Languages:

English

Availability:

Freely Available

License:

proprietary

LREC2020 Expand/Collapse

Size:

1008 entries

Production Status:

Newly created-finished

Use:

Information Extraction, Information Retrieval

Paper title:
Automatic Section Recognition in Obituaries
Paper track:
Written/oral presentation
Paper status:
Accept Poster

Author Number	Name	Affiliation	Country
Main Contact	Roman Klinger	Obituary Zoning Corpus	/N

Documentation:

Paper, Readme

Pre-trained ELMo model (English, original)

Written Grammar/Language Model,

Language Type:

Monolingual

Languages:

English

Availability:

Freely Available

License:

Apache 2.0

LREC2020 Expand/Collapse

Size:

357 MByte

Production Status:

Existing-used

Use:

Machine Learning

Paper title:
High Quality ELMo Embeddings for Seven Less-Resourced Languages
Paper track:
Written/oral presentation
Paper status:
Accept Oral

Author Number	Name	Affiliation	Country
Main Contact	Matej Ulčar	Pre-trained ELMo model (English, original)	/N
Main Contact	Matej Ulčar	Pre-trained ELMo Representations for Many Languages (ELMoForManyLangs, Latvian)	/N
Main Contact	Matej Ulčar	Embeddia ELMo embeddings models for seven languages	/N

Documentation:

https://github.com/allenai/allennlp/blob/master/tutorials/how_to/elmo.md

Pre-trained ELMo Representations for Many Languages (ELMoForManyLangs, Latvian)

Written Grammar/Language Model,

Language Type:

Monolingual

Languages:

Latvian

Availability:

From Owner

License:

unknown

LREC2020 Expand/Collapse

Size:

436 MByte

Production Status:

Existing-used

Use:

Machine Learning

Paper title:
High Quality ELMo Embeddings for Seven Less-Resourced Languages
Paper track:
Written/oral presentation
Paper status:
Accept Oral

Author Number	Name	Affiliation	Country
Main Contact	Matej Ulčar	Pre-trained ELMo model (English, original)	/N
Main Contact	Matej Ulčar	Pre-trained ELMo Representations for Many Languages (ELMoForManyLangs, Latvian)	/N
Main Contact	Matej Ulčar	Embeddia ELMo embeddings models for seven languages	/N

Documentation:

https://github.com/HIT-SCIR/ELMoForManyLangs

Embeddia ELMo embeddings models for seven languages

Written Grammar/Language Model,

Language Type:

Multilingual

Languages:

Croatian Estonian Finnish Latvian Lithuanian Slovenian Swedish

Availability:

Freely Available

License:

GPL v3

LREC2020 Expand/Collapse

Size:

2.4 GByte

Production Status:

Newly created-finished

Use:

Machine Learning

Paper title:
High Quality ELMo Embeddings for Seven Less-Resourced Languages
Paper track:
Written/oral presentation
Paper status:
Accept Oral

Author Number	Name	Affiliation	Country
Main Contact	Matej Ulčar	Pre-trained ELMo model (English, original)	/N
Main Contact	Matej Ulčar	Pre-trained ELMo Representations for Many Languages (ELMoForManyLangs, Latvian)	/N
Main Contact	Matej Ulčar	Embeddia ELMo embeddings models for seven languages	/N

Documentation:

No documentation beyond that of original (English) ELMo model at https://github.com/allenai/allennlp/blob/master/tutorials/how_to/elmo.md

Dragonfly Annotation Tool

Written Annotation Tool,

Language Type:

Language Independent

Languages:

Availability:

Freely Available

License:

Apache 2 License

LREC2020 Expand/Collapse

Size:

300 KByte

Production Status:

Existing-updated

Use:

Named Entity Recognition

Paper title:
Dragonfly: Advances in Non-Speaker Annotation for Low Resource Languages
Paper track:
Written/poster presentation with demo
Paper status:
Accept Poster+Demo

Author Number	Name	Affiliation	Country
Main Contact	Cash Costello	Dragonfly Annotation Tool	/N

Documentation:

English documentation

ENGLAWI

Written Lexicon,

Language Type:

Monolingual

Languages:

English

Availability:

Freely Available

License:

Creative Commons By-SA 3.0

LREC2020 Expand/Collapse

Size:

752770 entries

Production Status:

Newly created-finished

Use:

Paper title:
ENGLAWI: From Human- to Machine-Readable Wiktionary
Paper track:
Written/poster presentation
Paper status:
Accept Poster

Author Number	Name	Affiliation	Country
Main Contact	Franck Sajous	ENGLAWI	/N

Documentation:

http://redac.univ-tlse2.fr/lexicons/englawi/doc/index.html

SegBo: A Database of Borrowed Sounds in the World’s Language

Speech ,

Language Type:

Language Independent

Languages:

Availability:

Freely Available

License:

Creative Commons Attribution Share Alike 4.0 International

LREC2020 Expand/Collapse

Size:

555.2 KByte

Production Status:

Newly created-in progress

Use:

Paper title:
SegBo: A Database of Borrowed Sounds in the World’s Language
Paper track:
Written/oral presentation
Paper status:
Accept Oral

Author Number	Name	Affiliation	Country
Main Contact	Steven Moran	SegBo: A Database of Borrowed Sounds in the World’s Language	/N

Documentation:

Documentation in English

Zurich Cognitive Language Processing Corpus 2.0

Text, eye-tracking, electroencephalography Corpus,

Language Type:

Monolingual

Languages:

English

Availability:

From Data Center(s)

License:

CreativeCommons

LREC2020 Expand/Collapse

Size:

50 GByte

Production Status:

Newly created-finished

Use:

Information Extraction, Information Retrieval

Paper title:
ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation
Paper track:
Written/poster presentation
Paper status:
Accept Poster

Author Number	Name	Affiliation	Country
Main Contact	Nora Hollenstein	Zurich Cognitive Language Processing Corpus 2.0	/N

Documentation:

https://osf.io/2urht/wiki/home/

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LRE Map

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Evaluation

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4REAL

ACL

ACLHT

AREA

AsianLang

BioTxtM

BR-LRE

BUCC

CCURL

CIDTD

CMLC-2

CMLC-6

CNL

COLING

EMNLP

ES3LOD

FNP

Games4NLP

GLOBALEX

IJCNLP

IndustryTrack

Interspeech

IS

isa-10

ISINLP2

LB-IRL

LDL

LiNCR

LRE-Rel2

LREC

LRT4HDA

LTC

MMC

MomenT

MTE

MultilingualBIO

NAACL

O-COCOSDA

OCOCOSDA18

OSACT

OSACT3

ParlaCLARIN

RANLP

SaLTMiL

SignLanguage

SPLET

TA-COS

The International Conference on Language Resources and Evaluation

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