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199 842 (0,176s)

Result

Multilingual ELMo and the Effects of Corpus Sampling

Multilingual pretrained language models are rapidly gaining popularity in NLP systems for non-English languages. Most of these models feature an important corpus resourced ones. In this study, we train mul...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2021
  • D
Result

Multilingual Automatic Speech Recognition for Scandinavian Languages

the three languages. However, we show that a multilingual model based on a strong Swedish model, further fine-tuned on all three languages, performs well for Norwegian. With a language classifica...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2023
  • D
  • Link
Result

Is Multilingual BERT Fluent in Language Generation?

The multilingual BERT model is trained on 104 languages and meant to serve as a universal language model and tool for encoding sentences. We explore how well the model, whereas the multilingua...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2019
  • O
  • Link
Result

Correlations Between Multilingual Language Model Geometry and Crosslingual Transfer Performance

A common approach to interpreting multilingual language models is to evaluate their internal representations. For example, studies have found that languages occupy for POS-tagging and NER in three multilingual<...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2024
  • D
  • Link
Result

MEVTR: A Multilingual Model Enhanced With Visual Text Representations

The goal of multilingual modelling is to generate multilingual text representations for various downstream tasks in different languages. However, some state-of-the-art pre-trained multilingual models

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2024
  • D
  • Link
Result

Proficiency Level Classification of Foreign Language Learners Using Machine Learning Algorithms and Multilingual Models

language learners using multilingual models. Such models can be extremely useful regression methods were used to train the model with different sets of language features for the random forest and...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2022
  • D
  • Link
Result

Specializing Multilingual Language Models: An Empirical Study

Pretrained multilingual language models have become a common tool in transferring NLP capabilities to low-resource languages, often with adaptations diverse low-resource languages uphold the viability of t...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2021
  • D
Result

First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT

Multilingual pretrained language models have demonstrated remarkable zero-shot of the model’s internal representations, we show that multilingual BERT, a popular multilingual language

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2021
  • D
Result

Tokenization Impacts Multilingual Language Modeling: Assessing Vocabulary Allocation and Overlap Across Languages

Multilingual language models have recently gained attention as a promising solution for representing multiple languages in a single model. In this paper, we in multilingual language m...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2023
  • D
  • Link
Result

ZeLa: Advancing Zero-Shot Multilingual Semantic Parsing with Large Language Models and Chain-of-Thought Strategies

multilingual semantic parsing under the support of large language models (LLMs). Given data tasks, thanks to the introduction of pre-trained language models. However, a substantial gap persists between En...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2024
  • D
  • Link
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