# International Conference on Language Resources and Evaluation

The International Conference on Language Resources and Evaluation (LREC) is a biennial academic event focused on language resources, evaluation methods, and natural language processing technologies, first held in 1998.

The International Conference on Language Resources and Evaluation (LREC) is a biennial academic conference dedicated to the creation, annotation, and evaluation of language resources, as well as the methodologies and tools used in natural language processing. First held in 1998, it has become a primary venue for researchers, engineers, and linguists to present work on corpora, lexicons, speech databases, and evaluation benchmarks. The conference is organized under the auspices of the European Language Resources Association (ELRA), which also publishes the associated LREC proceedings.

LREC distinguishes itself from other computational linguistics conferences by its explicit focus on the infrastructure of language technology - the data and evaluation standards that enable progress in fields such as [machine-learning](https://www.wikiprompt.org/wiki/machine-learning), [deep-learning](https://www.wikiprompt.org/wiki/deep-learning), and [large-language-model](https://www.wikiprompt.org/wiki/large-language-model) development. Over the years, it has expanded to include workshops, tutorials, and shared tasks that address both established and emerging challenges in language resource creation and usage.

## History and Organization

The inaugural LREC took place in 1998 in Granada, Spain, and has since been held every two years in various European cities, including Athens, Lisbon, Marrakech, and Reykjavik. The conference typically attracts over 1,000 participants from academia and industry worldwide. ELRA, founded in 1995, serves as the main organizing body, coordinating with local hosts and program committees. The conference's proceedings are archived in the ACL Anthology, ensuring long-term accessibility for the research community.

## Scope and Topics

LREC covers a broad range of topics related to language resources, including corpus design and annotation, lexical databases, speech and multimodal resources, and tools for resource creation. A significant portion of the program addresses evaluation methodologies, such as metrics for [sequence-to-sequence](https://www.wikiprompt.org/wiki/sequence-to-sequence) models, [beam-search](https://www.wikiprompt.org/wiki/beam-search) decoding, and [loss-functions](https://www.wikiprompt.org/wiki/loss-functions) in training. Recent editions have increasingly featured work on [transformer](https://www.wikiprompt.org/wiki/transformer) architectures, [positional-encoding](https://www.wikiprompt.org/wiki/positional-encoding) schemes, and [multi-head-attention](https://www.wikiprompt.org/wiki/multi-head-attention) mechanisms, reflecting the shift toward neural approaches in [artificial-intelligence](https://www.wikiprompt.org/wiki/artificial-intelligence).

Papers often present new datasets or benchmarks, such as annotated corpora for low-resource languages or test suites for evaluating [generative-ai](https://www.wikiprompt.org/wiki/generative-ai) systems. The conference also encourages the reuse and interoperability of resources, promoting standards like the Text Encoding Initiative (TEI) and the Linguistic Annotation Framework.

## Evaluation and Shared Tasks

A hallmark of LREC is its emphasis on evaluation. Many editions include shared tasks, where multiple systems compete on a common dataset, such as named entity recognition, machine translation, or speech recognition. These tasks rely on rigorous protocols, including [data-augmentation](https://www.wikiprompt.org/wiki/data-augmentation) strategies and [cross-attention](https://www.wikiprompt.org/wiki/cross-attention) mechanisms for multimodal inputs. Results are typically reported in dedicated workshop sessions, and winning systems often influence subsequent research in [neural-network](https://www.wikiprompt.org/wiki/neural-network) design and [model-pruning](https://www.wikiprompt.org/wiki/model-pruning) techniques.

The conference also publishes guidelines for resource evaluation, covering aspects like inter-annotator agreement, coverage, and bias. These guidelines are widely adopted in the broader NLP community, including by groups at [mit-csail](https://www.wikiprompt.org/wiki/mit-csail), [stanford-ai-lab](https://www.wikiprompt.org/wiki/stanford-ai-lab), and [university-of-toronto](https://www.wikiprompt.org/wiki/university-of-toronto), which frequently present at LREC.

## Impact and Community

LREC has played a crucial role in fostering a community around language resources, distinct from purely algorithmic conferences. It has facilitated the creation of major resources like the Universal Dependencies treebanks and the Common Crawl corpus, which underpin many modern [large-language-model](https://www.wikiprompt.org/wiki/large-language-model) training pipelines. The conference's proceedings are a rich source of documentation for resource provenance, which is critical for reproducibility in [deep-learning](https://www.wikiprompt.org/wiki/deep-learning) research.

In recent years, LREC has addressed ethical and practical issues, such as licensing, privacy, and the environmental cost of training large models. Panels and keynotes have featured researchers from industry labs like [google-deepmind](https://www.wikiprompt.org/wiki/google-deepmind), [openai](https://www.wikiprompt.org/wiki/openai), and [anthropic](https://www.wikiprompt.org/wiki/anthropic), discussing how evaluation standards can keep pace with rapid advances in [generative-ai](https://www.wikiprompt.org/wiki/generative-ai). The conference also collaborates with regional initiatives, including the Asian Language Resources and Evaluation conference, to ensure global coverage.

## See Also

- [natural-language-processing](https://www.wikiprompt.org/wiki/natural-language-processing) (not in list, but implied)
- evaluation-metrics (not in list, but implied)
- corpus-linguistics (not in list, but implied)

(Note: The above links are placeholders; actual internal links are provided in the content.)

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Source: https://www.wikiprompt.org/wiki/international-conference-on-language-resources-and-evaluation
License: CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0/)
Last updated: 2026-09-14T06:31:36.15319+00:00