Multilingual NLP
34 papers with code • 0 benchmarks • 4 datasets
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Use these libraries to find Multilingual NLP models and implementationsMost implemented papers
Unsupervised Cross-lingual Representation Learning at Scale
We also present a detailed empirical analysis of the key factors that are required to achieve these gains, including the trade-offs between (1) positive transfer and capacity dilution and (2) the performance of high and low resource languages at scale.
Language-agnostic BERT Sentence Embedding
While BERT is an effective method for learning monolingual sentence embeddings for semantic similarity and embedding based transfer learning (Reimers and Gurevych, 2019), BERT based cross-lingual sentence embeddings have yet to be explored.
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions.
PMIndia -- A Collection of Parallel Corpora of Languages of India
Parallel text is required for building high-quality machine translation (MT) systems, as well as for other multilingual NLP applications.
XeroAlign: Zero-Shot Cross-lingual Transformer Alignment
The introduction of pretrained cross-lingual language models brought decisive improvements to multilingual NLP tasks.
Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs
ColexNet's nodes are concepts and its edges are colexifications.
MMCR4NLP: Multilingual Multiway Corpora Repository for Natural Language Processing
Multilinguality is gradually becoming ubiquitous in the sense that more and more researchers have successfully shown that using additional languages help improve the results in many Natural Language Processing tasks.
Improving Cross-Lingual Word Embeddings by Meeting in the Middle
Cross-lingual word embeddings are becoming increasingly important in multilingual NLP.
Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation
Pretrained contextual and non-contextual subword embeddings have become available in over 250 languages, allowing massively multilingual NLP.
Simultaneous Translation and Paraphrase for Language Education
We present the task of Simultaneous Translation and Paraphrasing for Language Education (STAPLE).