Challenge: Currently, the corpus has approximately 5,500,000 tokens originating from written text and 100,000 tokens of spoken language.
Approach: They describe the process of creating a large and representative corpus in Romanian, a relatively under-resourced language with unique typological characteristics.
Outcome: The proposed corpus contains 5,500,000 tokens originating from written text and 100,000 tokens of spoken language.

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Collection and Annotation of the Romanian Legal Corpus (2020.lrec-1)

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Challenge: Currently, the corpus contains more than 140k documents representing the legislative body of Romania.
Approach: They present a Romanian legislative corpus which is a valuable linguistic asset for machine translation systems.
Outcome: The Romanian legislative corpus contains more than 140k documents representing the legislative body of Romania.
The Reference Corpus of the Contemporary Romanian Language (CoRoLa) (L18-1)

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Challenge: a four-year project focused on the creation of a big corpus for contemporary Romanian language is underway . the corpus is the largest publicly available corpus of contemporary Romania .
Approach: a four-year project is focusing on the creation of a big corpus for Romanian language . the corpus is the largest publicly available corpus of the language based in the country . authors propose to use the corpora as a tool to query and listen to the results .
Outcome: a four-year project has created the largest publicly available corpus of Romanian language . the corpus is the result of a project focused on the creation of 'corola.racai.ro' the written component contains 1,257,752,812 tokens, distributed in several languages .
BioRo: The Biomedical Corpus for the Romanian Language (L18-1)

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Challenge: Biomedical text mining uses linguistic resources available in English, but for other languages such as Romanian, the access to language resources is not straight-forward.
Approach: They present a biomedical corpus of the Romanian language, which is a valuable linguistic asset for biomedically text mining.
Outcome: The proposed corpus will be made publicly available to the biomedical text mining community . the corpus is a reference corpus for the Romanian language .
RSC: A Romanian Read Speech Corpus for Automatic Speech Recognition (2020.lrec-1)

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Challenge: Romanian language is under-resourced due to the lack of acoustic and linguistic resources.
Approach: They propose to use a Romanian speech corpus to train automatic speech recognition algorithms based on the spoken hotword detection mechanism.
Outcome: The read speech corpus is a speech recognition system that can perform automatic speech recognition and speech synthesis using state-of-the-art speech recognition toolkit.
A Bird’s-eye View of Language Processing Projects at the Romanian Academy (L18-1)

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Challenge: a recent article outlines five projects that address contemporary Romanian language . the authors argue that a constant accumulation of human expertise is needed to develop complex projects.
Approach: a new article gives a general overview of five AI language-related projects at the Romanian Academy . they focus on the creation of a contemporary Romanian language text and speech corpus and language related applications .
Outcome: a new article gives an overview of five AI language-related projects at the Romanian Academy . the projects address contemporary Romanian language, as well as language related applications .
Introducing RONEC - the Romanian Named Entity Corpus (2020.lrec-1)

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Challenge: Named Entity Corpus is a free, open-source resource that contains annotated named entities in copy-right free text.
Approach: They present RONEC - the Named Entity Corpus for the Romanian language . it contains over 26000 entities in 5000 annotated sentences belonging to 16 classes .
Outcome: The free, open-source resource contains over 26000 entities in 5000 annotated sentences, belonging to 16 distinct classes.
Building Better: Avoiding Pitfalls in Developing Language Resources when Data is Scarce (2025.acl-long)

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Challenge: Language is a powerful means of communication and should be regarded as more than just a collection of tokens.
Approach: They collect feedback from individuals directly involved in and impacted by NLP artefacts for medium- and low-resource languages and highlight key issues related to data quality, cultural appropriateness and ethics of common annotation practices.
Outcome: The findings highlight key issues related to data quality, cultural appropriateness, and ethics of common annotation practices.
A Very Low Resource Language Speech Corpus for Computational Language Documentation Experiments (L18-1)

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Challenge: a new study aims to document endangered languages using a speech corpus . linguistic documentation is limited to the phonetic, lexical and syntactic levels .
Approach: They propose to use a speech corpus to document endangered languages in field . they propose to collect 5k speech utterances aligned to French text translations .
Outcome: The proposed language corpus is used to document endangered languages in field linguists . it is multilingual and contains 5k speech utterances aligned to french text translations - the authors show it can be used in a zero-resource task .
Building Representative Corpora from Illiterate Communities: A Reviewof Challenges and Mitigation Strategies for Developing Countries (2021.eacl-main)

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Challenge: Existing methods for collecting data from high-income countries (HICs) make implicit assumptions about literacy and internet access, but in low-income and sub-Saharan Africa (SSA) such assumptions may not hold for LICs where the bulk of the population lives.
Approach: They propose a set of practical mitigation strategies to address the under-representation of illiterate communities in NLP corpora.
Outcome: The proposed methods address the under-representation of illiterate communities in NLP corpora and propose mitigation strategies to help future work.
The DReaM Corpus: A Multilingual Annotated Corpus of Grammars for the World’s Languages (2020.lrec-1)

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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.

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