LaVA – Latvian Language Learner corpus (2022.lrec-1)

Copied to clipboard

Challenge: a corpus of 1015 essays from foreigners learning Latvian as a foreign language is available at http://www.korpuss.lv/id/LaVA.
Approach: They propose to create a Latvian Language Learner Corpus (LaVA) which contains 1015 essays from Latvian students with different language backgrounds.
Outcome: The LaVA corpus contains 1015 essays from foreigners studying at Latvian higher education institutions and reaching the A1 (possibly A2) Latvian language proficiency level.

Similar Papers

Quality Focused Approach to a Learner Corpus Development (2020.lrec-1)

Copied to clipboard

Challenge: Existing methods for annotating learner corpus with errors are not well defined and can be repetitive.
Approach: The paper proposes a quality focused approach to a learner corpus development . the approach includes comparison of digitized texts, text correction, automated morphological analysis and manual review of annotations.
Outcome: The proposed method is used to create a learner corpus in Latvian . it reduces the amount of mistakes that could be introduced due to inconsistent correction or carelessness.
Latvian National Corpora Collection – Korpuss.lv (2022.lrec-1)

Copied to clipboard

Challenge: Latvian National Corpora Collection (LNCC) is a multi-institutional and multi-project effort supporting the Latvian language research and language modelling.
Approach: They propose to use Latvian corpora for linguistic research and language modelling.
Outcome: LNCC is a multi-institutional and multi-project effort supported by the Digital Humanities and Language Technology communities in Latvia.
The DReaM Corpus: A Multilingual Annotated Corpus of Grammars for the World’s Languages (2020.lrec-1)

Copied to clipboard

Challenge: Until recently, language descriptions were available in paper form only, with indexes as the only search aid.
Approach: They propose to digitize a multilingual corpus of language descriptions and annotate it with various meta, word, and text attributes to make searching and analysis easier and more useful.
Outcome: The proposed corpus is searchable through a couple of well-established corpus infrastructures.
A Computational Model of Latvian Morphology (2024.lrec-main)

Copied to clipboard

Challenge: a computational model of Latvian morphology provides a formal structure for Latvian word form inflection . the model explicitly enumerates and handles the many exceptions to the general Latvian inflation principles .
Approach: They propose a computational model of Latvian morphology that provides a formal structure for Latvian word form inflection.
Outcome: The proposed model provides a good coverage for modern Latvian literary language and potential to extend to Latgalian language.
Facilitating Corpus Usage: Making Icelandic Corpora More Accessible for Researchers and Language Users (2020.lrec-1)

Copied to clipboard

Challenge: Gigaword corpus is a large text corpus used in natural language processing . large corpora are needed to achieve better performance in the field of NLP .
Approach: They propose a set of tools to facilitate the use of the Icelandic Gigaword Corpus . they provide n-grams based on the corpus, and a variety of pre-trained word embeddings models .
Outcome: The proposed tools facilitate the use of the Icelandic Gigaword corpus in the field of Natural Language Processing and other fields.
The Use of Text Alignment in Semi-Automatic Error Analysis: Use Case in the Development of the Corpus of the Latvian Language Learners (L18-1)

Copied to clipboard

Challenge: Using error annotation methods, the corpus of the Latvian language learners can be adapted for other languages with relatively free word order.
Approach: They propose a method for creating error annotated corpora using text correction, automated morphological analysis, automated text alignment and error annotation.
Outcome: The proposed method has been approbated in the development of the corpus of the Latvian language learners.
The Abkhaz National Corpus (L18-1)

Copied to clipboard

Challenge: Abkhaz National Corpus is a comprehensive and open, grammatically annotated text corpus . it is currently growing and is being extended to include all important texts written in the language .
Approach: They propose to use the Abkhaz National Corpus to annotate Abkhhaz texts . the corpus is a comprehensive and open, grammatically annotated text corpus .
Outcome: The proposed corpus is a grammatically annotated text corpus which makes the language accessible to scientific investigations from various perspectives.
Building a TOCFL Learner Corpus for Chinese Grammatical Error Diagnosis (L18-1)

Copied to clipboard

Challenge: Annotated learner corpus is valuable for research in second language acquisition, foreign language teaching, and contrastive interlanguage analysis.
Approach: They construct a TOCFL learner corpus and use it for Chinese grammatical error diagnosis.
Outcome: The constructed corpus is available to the public and will be used for shared tasks on Chinese grammatical error diagnosis.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) (2024.acl-demos)

Copied to clipboard

Challenge: ACL 2024 System Demonstration Track invites submissions describing system demonstrations . submissions will undergo a single-blind review process .
Approach: the ACL 2024 System Demonstration Track invites submissions . papers will be published in a companion volume of the conference proceedings . submissions will undergo a single-blind review process .
Outcome: the Demonstration Track at ACL 2024 is a venue for papers describing system demonstrations . publicly available open-source or open-access systems are of special interest . submissions will undergo a single-blind review process .

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations