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Related papers: Data Collection and Analysis of French Dialects

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Fine-tuning of Large Language Models (LLMs) for downstream tasks, performed on domain-specific data has shown significant promise. However, commercial use of such LLMs is limited by the high computational cost required for their deployment…

Computation and Language · Computer Science 2025-03-06 Boris Nazarov , Darya Frolova , Yackov Lubarsky , Alexei Gaissinski , Pavel Kisilev

Measuring a document's complexity level is an open challenge, particularly when one is working on a diverse corpus of documents rather than comparing several documents on a similar topic or working on a language other than English. In this…

Computation and Language · Computer Science 2022-09-01 Vincent Primpied , David Beauchemin , Richard Khoury

Artificial intelligence has made great progress in recent years, particularly in the development of Vision--Language Models (VLMs) that understand both visual and textual data. However, these advancements remain largely limited to English,…

Computation and Language · Computer Science 2025-12-12 Jules Lahmi , Alexis Roger

Instruction tuning has become a key technique for enhancing the performance of large language models, enabling them to better follow human prompts. However, low-resource languages such as Luxembourgish face severe limitations due to the…

Computation and Language · Computer Science 2025-10-09 Fred Philippy , Laura Bernardy , Siwen Guo , Jacques Klein , Tegawendé F. Bissyandé

Cross-lingual named-entity lexica are an important resource to multilingual NLP tasks such as machine translation and cross-lingual wikification. While knowledge bases contain a large number of entities in high-resource languages such as…

Computation and Language · Computer Science 2021-09-13 Ahmed El-Kishky , Adithya Renduchintala , James Cross , Francisco Guzmán , Philipp Koehn

In this paper, we investigate the application of text classification methods to support law professionals. We present several experiments applying machine learning techniques to predict with high accuracy the ruling of the French Supreme…

Computation and Language · Computer Science 2017-10-26 Octavia-Maria Sulea , Marcos Zampieri , Shervin Malmasi , Mihaela Vela , Liviu P. Dinu , Josef van Genabith

Pretrained language models are now ubiquitous in Natural Language Processing. Despite their success, most available models have either been trained on English data or on the concatenation of data in multiple languages. This makes practical…

With the development of big corpora of various periods, it becomes crucial to standardise linguistic annotation (e.g. lemmas, POS tags, morphological annotation) to increase the interoperability of the data produced, despite diachronic…

Computation and Language · Computer Science 2020-11-24 Simon Gabay , Thibault Clérice , Jean-Baptiste Camps , Jean-Baptiste Tanguy , Matthias Gille-Levenson

Large language models (LLMs) are demonstrating significant promise as an alternate strategy to facilitate analyses and optimizations of high-performance computing programs, circumventing the need for resource-intensive manual tool creation.…

Machine Learning · Computer Science 2023-11-28 Le Chen , Xianzhong Ding , Murali Emani , Tristan Vanderbruggen , Pei-hung Lin , Chuanhua Liao

With the rapid development of the large model domain, research related to fine-tuning has concurrently seen significant advancement, given that fine-tuning is a constituent part of the training process for large-scale models. Data…

Computation and Language · Computer Science 2024-07-12 Runyuan Ma , Wei Li , Fukai Shang

For machine translation to tackle discourse phenomena, models must have access to extra-sentential linguistic context. There has been recent interest in modelling context in neural machine translation (NMT), but models have been principally…

Computation and Language · Computer Science 2018-04-23 Rachel Bawden , Rico Sennrich , Alexandra Birch , Barry Haddow

When developing text classification models for real world applications, one major challenge is the difficulty to collect sufficient data for all text classes. In this work, we address this challenge by utilizing large language models (LLMs)…

Computation and Language · Computer Science 2025-08-15 Chenhao Xue , Yuanzhe Jin , Adrian Carrasco-Revilla , Joyraj Chakraborty , Min Chen

Specialist language models (LMs) focus on a specific task or domain on which they often outperform generalist LMs of the same size. However, the specialist data needed to pretrain these models is only available in limited amount for most…

Computation and Language · Computer Science 2025-03-12 David Grangier , Simin Fan , Skyler Seto , Pierre Ablin

Text data mining is the process of deriving essential information from language text. Typical text mining tasks include text categorization, text clustering, topic modeling, information extraction, and text summarization. Various data sets…

Databases · Computer Science 2022-12-21 Meng Jiang

Research on multilingual speech emotion recognition faces the problem that most available speech corpora differ from each other in important ways, such as annotation methods or interaction scenarios. These inconsistencies complicate…

Computation and Language · Computer Science 2018-03-02 Michael Neumann , Ngoc Thang Vu

Existing syntactic grammars of natural languages, even with a far from complete coverage, are complex objects. Assessments of the quality of parts of such grammars are useful for the validation of their construction. We evaluated the…

Computation and Language · Computer Science 2007-11-22 Eric Laporte

In this paper, we introduce a novel approach to generate synthetic data for training Neural Machine Translation systems. The proposed approach transforms a given parallel corpus between a written language and a target language to a parallel…

Computation and Language · Computer Science 2017-11-30 Hany Hassan , Mostafa Elaraby , Ahmed Tawfik

This paper analyses the contribution of language metrics and, potentially, of linguistic structures, to classify French learners of English according to levels of the Common European Framework of Reference for Languages (CEFRL). The purpose…

Computation and Language · Computer Science 2018-06-29 Taylor Arnold , Nicolas Ballier , Thomas Gaillat , Paula Lissòn

This paper is a deep investigation of cross-language plagiarism detection methods on a new recently introduced open dataset, which contains parallel and comparable collections of documents with multiple characteristics (different genres,…

Computation and Language · Computer Science 2017-05-25 Jeremy Ferrero , Laurent Besacier , Didier Schwab , Frederic Agnes

A lot of effort is currently made to provide methods to analyze and understand deep neural network impressive performances for tasks such as image or text classification. These methods are mainly based on visualizing the important input…

Machine Learning · Statistics 2020-04-08 Laurent Vanni , Marco Corneli , Damon Mayaffre , Frédéric Precioso
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