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Exploring language acquisition in multilingual children

Lewia Jimmysan from northwest Malakula was the first participant in the project, pictured here when she was almost 3 years old. She wears one of the team's cotton t-shirts with a USB recorder in the breast pocket. Credit: Heidi Colleran Language learning is a human universality. There is no human culture without language, and in every culture, children naturally pick up the language or languages used by those around them. Yet…

Multilingual NLP: Get Started with the TyDiQA-GoldP Dataset in 10 Minutes or Less | by Yousef Nami | Oct, 2022

A hands-on tutorial for retrieving, processing and using the datasetPhoto thanks Hannah Wright from Unsplash.TyDiQA-GoldP is a difficult Extractive Question Answering dataset that is typically used for benchmarking question answering models. What makes the dataset worthwhile is the manner in which the data is created. Annotators were given the first 100 characters of random Wikipedia articles, and asked to generate questions whose answers they are interested in finding . To quote an example from the paper , given the…

Multilingual NLP: Get Started with the PAWS-X Dataset in 5 Minutes or Less | by yousefnami | Oct, 2022

An hands-on tutorial for retrieving, processing, and using the datasetPhoto thanks Hannah Wright from Unsplash.PAWS-X is a multilingual Sequence Classification dataset created from the original English Paraphrase Adversaries using Word Scrambling (PAWS) dataset . The dataset consists of 49401 sentence pairs each with an associated label indicating whether the sentence pair is a paraphrase (y=1) or not (y=0). Each sentence pair is machine translated from the original English dataset into the following languages: German…

Multilingual, laughing, Pitfall-playing and streetwise AI • TechCrunch

Research in the field of machine learning and AI, now a key technology in practically every industry and company, is far too voluminous for anyone to read it all. This column, Perceptron, aims to collect some of the most relevant recent discoveries and papers — particularly in, but not limited to, artificial intelligence — and explain why they matter. Over the past few weeks, researchers at Google have demoed an AI system, PaLI, that can perform many tasks in over 100 languages. Elsewhere, a Berlin-based group…

Can Machine Translation be a Reasonable Alternative for Multilingual Question Answering Systems over Knowledge Graphs? | by Aleksandr…

Spoiler alert: yes it can!Providing access to information is the main and most important purpose of the Web. Despite available easy-to-use tools (e.g., search engines, question answering) the accessibility is typically limited by the capability of using the English language.In this work, we evaluate Knowledge Graph Question Answering (KGQA) systems that aim at providing natural-language access to data stored in Knowledge Graphs (KG). What makes this work special is that we look at questions in multiple languages. Mainly,…

Meta’s massive multilingual translation opus still stumbles on Greek, Armenian, Oromo

Cracks appear where the human reviewers find some language pairs benefit very little or not at all from the NLLB-200 innovations, including language pairs such as Armenian translated into English and Amharic, the most widely-used language in Ethiopia, translated into Armenian. English translated into Greek turned out even worse than the baseline.  NLLB Team et al. 2022These isolated examples, which pop up amongst successes — a big improvement on Russian translated into Tagalog, a dominant language in the

Rubikon review – toxic fog takes over in nifty multilingual sci-fi | Film

Although set in the nearish future in space, this multilingual sci-fi film feels quite of the moment, imbued with guilt and angst about environmental catastrophe, but also suffused with a sense of helplessness. It’s 2056 and, after the collapse of the world’s ecosystem, rich people live in air domes that keep them safe from the contaminated atmosphere. Attempts to find a safe place to live off the planet have failed, as anyone sensible could have told us they would do. On the Rubikon, the last space station, they are…

Challenges & Methods for Multilingual Sentiment Analysis in 2022

In our 2022 research about sentiment analysis, we explained how businesses increasingly invest in sentiment analysis and how it works. One of the challenges of sentiment analysis is multiple languages. As seen in Figure1, majority of the web data is in languages different from English. When it comes to applying sentiment analysis, despite more sources becoming available over time, majority of the sources are primarily available for English and it is challenging to apply sentiment analysis in different languages. In this…