| Challenge: | a few resources exist for Faroese, but many of them are insufficient size and quality or are not easily accessible. |
| Approach: | They propose to make a BLARK for Faroese that will be open-source and use other languages' resources. |
| Outcome: | The proposed BLARK will be a pillar in Faroese LR, and will be open-source . authors comment on the faulty yet sprouting LT situation in the Faroest islands . |
Similar Papers
Open ASR for Icelandic: Resources and a Baseline System (L18-1)
Copied to clipboard
| Challenge: | Existing language resources are not sufficient for less-resourced languages, but a system with sufficient resources is needed. |
| Approach: | They describe available language resources and their preparation for use in a large vocabulary speech recognition system for Icelandic. |
| Outcome: | The proposed system improves on acoustic training sets and a speech corpus with a pronunciation dictionary. |
Towards a Corsican Basic Language Resource Kit (2020.lrec-1)
Copied to clipboard
| Challenge: | a roadmap has been set out for the development of a basic language resource kit for the Corsican language . the goal is to improve the availability of resources and tools for the language based on the Banque de Données Langue Corse project . |
| Approach: | a team of researchers from univ-corse is developing a basic language resource kit for the corsican language . they aim to collect corpora, set up a concordancer, set-up language detection tool, build an electronic dictionary and add a part-of-speech tagger . |
| Outcome: | the goal is to improve the availability of resources and tools for the Corsican language . the roadmap sets out the actions to be undertaken: collection of corpora, setting up of a concordancer, language detection tool, electronic dictionary and part-of-speech tagger. |
World Class Language Technology - Developing a Language Technology Strategy for Danish (2020.lrec-1)
Copied to clipboard
| Challenge: | Danish government adopts ambitious strategy for LT and artificial intelligence . 35 million DKK will be spent over a period of 6 years to develop platform . |
| Approach: | They describe the process behind the development of the language-related parts of the strategy . they describe how focus areas and recommendations for the LT strategy were established . |
| Outcome: | The Danish government adopted a new, ambitious strategy for LT and AI in March 2019 . the focus areas and recommendations for the LT strategy were established based on user feedback . |
LREMap, a Song of Resources and Evaluation (L18-1)
Copied to clipboard
| Challenge: | a new map of Language Resources was introduced at LREC 2010 . the map aims to shed light on the vast amount of resources that represent the background of the research presented at LRE . |
| Approach: | They revisit the LRE Map of Language Resources, introduced at LREC 2010 . the map was designed to shed light on the vast amount of resources that represent the background of the research presented at LRE . |
| Outcome: | The paper analyzes the LRE Map of Language Resources, introduced at LREC 2010, from many different perspectives. |
Building a Data Infrastructure for a Mid-Resource Language: The Case of Catalan (2024.lrec-main)
Copied to clipboard
Aitor Gonzalez-Agirre, Montserrat Marimon, Carlos Rodriguez-Penagos, Javier Aula-Blasco, Irene Baucells, Carme Armentano-Oller, Jorge Palomar-Giner, Baybars Kulebi, Marta Villegas
| Challenge: | Aina Project aims to provide Catalan with the resources needed to keep its relevance in AI/NLP applications. |
| Approach: | They propose a set of strategies to consider when improving technology support for a mid- or low-resource language . they propose annotated datasets and a framework to make models ready to use . |
| Outcome: | The Aina Project aims to provide Catalan with the necessary resources to keep its relevance in AI/NLP-related industry and research. |
BalsuTalka.lv - Boosting the Common Voice Corpus for Low-Resource Languages (2024.lrec-main)
Copied to clipboard
Roberts Dargis, Arturs Znotins, Ilze Auzina, Baiba Saulite, Sanita Reinsone, Raivis Dejus, Antra Klavinska, Normunds Gruzitis
| Challenge: | Latvian is a low-resource language for many NLP tasks, but most speech corpora are closed data . a crowdsourcing campaign to create a relatively large, diverse and open speech corpus for Latvian has been launched . |
| Approach: | a crowdsourcing campaign is helping to create an open speech corpus for Latvian . the goal is to enlarge the datasets and make them more diverse . authors use the opensource Mozilla Common Voice platform to validate speech samples . |
| Outcome: | a crowdsourcing initiative has increased the size and speaker diversity of the Latvian Common Voice 17.0 dataset by more than tenfold in less than a year. |
Fine-Tuning ASR models for Very Low-Resource Languages: A Study on Mvskoke (2024.acl-srw)
Copied to clipboard
| Challenge: | Recent advances in multilingual models for automatic speech recognition (ASR) have been able to achieve a high accuracy for languages with extremely limited resources. |
| Approach: | They examine the parameter efficiency of training an adapter for the Mvskoke language, an indigenous language of America. |
| Outcome: | The proposed model is parameter efficient and gives higher accuracy for a relatively small amount of data. |
NorEval: A Norwegian Language Understanding and Generation Evaluation Benchmark (2025.findings-acl)
Copied to clipboard
Vladislav Mikhailov, Tita Enstad, David Samuel, Hans Christian Farsethås, Andrey Kutuzov, Erik Velldal, Lilja Øvrelid
| Challenge: | NorEval is a new evaluation suite for large-scale standardized benchmarking of Norwegian generative language models (LMs). |
| Approach: | They propose a new evaluation suite for large-scale standardized benchmarking of Norwegian generative language models (LMs) NorEval consists of 24 high-quality human-created datasets, of which five are created from scratch. |
| Outcome: | The evaluation framework and materials are publicly available. |
Evaluating the Potential of Language-family-specific Generative Models for Low-resource Data Augmentation: A Faroese Case Study (2024.lrec-main)
Copied to clipboard
| Challenge: | generative language models have shown promising results for translation in zero, one, and fewshot learning settings, among other types of tasks. |
| Approach: | They propose to prompt a generative language model for the Nordic languages for Faroese to English translation in a zero, one, and few-shot setting and challenge its Farose language understanding capabilities on a small dataset. |
| Outcome: | The proposed model can translate Faroese to English in a zero, one, and few-shot setting and then use it to create an annotated Farose semantic textual similarity (STS) dataset. |
NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian (2024.emnlp-main)
Copied to clipboard
Peng Liu, Lemei Zhang, Terje Farup, Even Lauvrak, Jon Ingvaldsen, Simen Eide, Jon Atle Gulla, Zhirong Yang
| Challenge: | Norwegian is under-represented within the most impressive breakthroughs in NLP tasks. |
| Approach: | they investigate the impact of existing Norwegian language models on Norwegian generation tasks . they pre-trained 4 Norwegian Open Language Models from parameter scales and architectures . |
| Outcome: | The proposed benchmark evaluates the performance of language models on Norwegian generation tasks. |