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Related papers: Data Collection and Analysis of French Dialects

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Dataset pruning aims to select a subset of a dataset for efficient model training. While data efficiency in natural language processing has primarily focused on within-corpus scenarios during model pre-training, efficient dataset pruning…

Computation and Language · Computer Science 2025-01-07 Binh-Nguyen Nguyen , Yang He

The fine-tuning of open-source large language models (LLMs) for machine translation has recently received considerable attention, marking a shift towards data-centric research from traditional neural machine translation. However, the area…

Computation and Language · Computer Science 2024-10-28 Yongjing Yin , Jiali Zeng , Yafu Li , Fandong Meng , Yue Zhang

This paper introduces a new Urban Point Cloud Dataset for Automatic Segmentation and Classification acquired by Mobile Laser Scanning (MLS). We describe how the dataset is obtained from acquisition to post-processing and labeling. This…

Machine Learning · Computer Science 2018-04-11 Xavier Roynard , Jean-Emmanuel Deschaud , François Goulette

In this article we present the design and implementation of the Logoscope, the first tool especially developed to detect new words of the French language, to document them and allow a public access through a web interface. This…

Computation and Language · Computer Science 2018-10-26 Ingrid Falk , Delphine Bernhard , Christophe Gérard

This article presents a hybrid methodology for building a multilingual corpus designed to support the study of emerging concepts in the humanities and social sciences (HSS), illustrated here through the case of ``non-technological…

Computation and Language · Computer Science 2025-12-09 Revekka Kyriakoglou , Anna Pappa

A major factor in the recent success of large language models is the use of enormous and ever-growing text datasets for unsupervised pre-training. However, naively training a model on all available data may not be optimal (or feasible), as…

We address in this paper the co-clustering and co-classification of bilingual data laying in two linguistic similarity spaces when a comparability measure defining a mapping between these two spaces is available. A new approach that we can…

Information Retrieval · Computer Science 2015-02-27 Pierre-François Marteau , Guiyao Ke

Inspired by the 'Bias Considerations in Bilingual Natural Language Processing' report by Statistics Canada, this study delves into potential biases in multilingual sentiment analysis between English and French. Given a 50-50 dataset of…

Computation and Language · Computer Science 2026-04-03 Ethan Parker Wong , Faten M'hiri

Effective utilization of time series data is often constrained by the scarcity of data quantity that reflects complex dynamics, especially under the condition of distributional shifts. Existing datasets may not encompass the full range of…

Computational Engineering, Finance, and Science · Computer Science 2024-06-11 Haibei Zhu , Yousef El-Laham , Elizabeth Fons , Svitlana Vyetrenko

Speech dysfluency detection is crucial for clinical diagnosis and language assessment, but existing methods are limited by the scarcity of high-quality annotated data. Although recent advances in TTS model have enabled synthetic dysfluency…

Background. In recent years, libraries and archives led important digitisation campaigns that opened the access to vast collections of historical documents. While such documents are often available as XML ALTO documents, they lack…

Computation and Language · Computer Science 2023-06-22 Nicolas Gutehrlé , Iana Atanassova

Machine Translation models are trained to translate a variety of documents from one language into another. However, models specifically trained for a particular characteristics of the documents tend to perform better. Fine-tuning is a…

Computation and Language · Computer Science 2019-10-09 Alberto Poncelas , Gideon Maillette de Buy Wenniger , Andy Way

We propose an extension of the Cross Industry Standard Process for Data Mining (CRISPDM) which addresses specific challenges of machine learning and data mining for context and model reuse handling. This new general context-aware process…

Data plays a fundamental role in the training of Large Language Models (LLMs). While attention has been paid to the collection and composition of datasets, determining the data sampling strategy in training remains an open question. Most…

Computation and Language · Computer Science 2024-06-04 Yunfan Shao , Linyang Li , Zhaoye Fei , Hang Yan , Dahua Lin , Xipeng Qiu

Large, open datasets can accelerate ecological research, particularly by enabling researchers to develop new insights by reusing datasets from multiple sources. However, to find the most suitable datasets to combine and integrate,…

Digital Libraries · Computer Science 2025-10-07 Zehao Lu , Thijs L van der Plas , Parinaz Rashidi , W Daniel Kissling , Ioannis N Athanasiadis

Automatic language identification is frequently framed as a multi-class classification problem. However, when creating digital corpora for less commonly written languages, it may be more appropriate to consider it a data mining problem. For…

Computation and Language · Computer Science 2025-03-11 Rasul Dent , Pedro Ortiz Suarez , Thibault Clérice , Benoît Sagot

In recent years, pre-trained language models (PLMs) achieve the best performance on a wide range of natural language processing (NLP) tasks. While the first models were trained on general domain data, specialized ones have emerged to more…

Computation and Language · Computer Science 2023-05-08 Yanis Labrak , Adrien Bazoge , Richard Dufour , Mickael Rouvier , Emmanuel Morin , Béatrice Daille , Pierre-Antoine Gourraud

The exponential growth of Large Language Models (LLMs) continues to highlight the need for efficient strategies to meet ever-expanding computational and data demands. This survey provides a comprehensive analysis of two complementary…

The evaluation of cross-lingual semantic search models is often limited to existing datasets from tasks such as information retrieval and semantic textual similarity. We introduce Cross-Lingual Semantic Discrimination (CLSD), a lightweight…

Computation and Language · Computer Science 2025-10-10 Andrianos Michail , Simon Clematide , Rico Sennrich

New deep-learning architectures are created every year, achieving state-of-the-art results in image recognition and leading to the belief that, in a few years, complex tasks such as sign language translation will be considerably easier,…

Computer Vision and Pattern Recognition · Computer Science 2021-04-05 Alvaro Leandro Cavalcante Carneiro , Lucas de Brito Silva , Denis Henrique Pinheiro Salvadeo