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Found 11 papers, 6 papers with code
Dialect Clustering with Character-Based Metrics: in Search of the Boundary of Language and Dialect
We present in this work a universal, character-based method for representing sentences so that one can thereby calculate the distance between any two sentence pair.
Homonym normalisation by word sense clustering: a case in Japanese
This work presents a method of word sense clustering that differentiates homonyms and merge homophones, taking Japanese as an example, where orthographical variation causes problem for language processing.
Unsupervised Topic Segmentation of Meetings with BERT Embeddings
Topic segmentation of meetings is the task of dividing multi-person meeting transcripts into topic blocks.
Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages
To achieve this, we focus on teacher-student training, allowing all encoders to be mutually compatible for bitext mining, and enabling fast learning of new languages.
No Language Left Behind: Scaling Human-Centered Machine Translation
Driven by the goal of eradicating language barriers on a global scale, machine translation has solidified itself as a key focus of artificial intelligence research today.
Ranked #1 on
Machine Translation
on IWSLT2017 French-English
(SacreBLEU metric)
Multilingual Representation Distillation with Contrastive Learning
Multilingual sentence representations from large models encode semantic information from two or more languages and can be used for different cross-lingual information retrieval and matching tasks.
xSIM++: An Improved Proxy to Bitext Mining Performance for Low-Resource Languages
In comparison to xSIM, we show that xSIM++ is better correlated with the downstream BLEU scores of translation systems trained on mined bitexts, providing a reliable proxy of bitext mining performance without needing to run expensive bitext mining pipelines.
SeamlessM4T: Massively Multilingual & Multimodal Machine Translation
What does it take to create the Babel Fish, a tool that can help individuals translate speech between any two languages?
Automatic Speech Recognition
Speech-to-Speech Translation
+3
Seamless: Multilingual Expressive and Streaming Speech Translation
In this work, we introduce a family of models that enable end-to-end expressive and multilingual translations in a streaming fashion.
Problem-solving Recognition in Scientific Text
As far back as Aristotle, problems and solutions have been recognised as a core pattern of thought, and in particular of the scientific method.
