Articles About Natural Language Processing

May 13, 2021 NLP, shared-private bilingual word embeddings

Issue #130 – Shared-Private Bilingual Word Embeddings for NMT

13 May21 Issue #130 – Shared-Private Bilingual Word Embeddings for NMT Author: Akshai Ramesh, Machine Translation Scientist @ Iconic Introduction In recent years, there has been a significant amount of research to improve the representation learning of neural machine translation (NMT). In today’s blog post, we will look at the work of Liu et al., 2019 who propose a novel approach called Shared-Private Bilingual Word Embeddings, to improve the word representations of NMT. Introduction A word representation is a mathematical […]

May 11, 2021 NLP

FAIRSEQ S2T: Fast Speech-to-Text Modeling with FAIRSEQ

To help personalize content, tailor and measure ads, and provide a safer experience, we use cookies. By clicking or navigating the site, you agree to allow our collection of information on and off Facebook through cookies. Learn more, including about available controls: Cookies Policy I Agree

May 6, 2021 Imitation learning, NLP

Issue #129 – Simultaneous MT Using Imitation Learning

06 May21 Issue #129 – Simultaneous MT Using Imitation Learning Author: Dr. Karin Sim, Machine Translation Scientist @ Iconic Introduction For the second time in our blog series we look at Simultaneous Machine Translation (SiMT). In SiMT, translation begins before the full source input has necessarily been processed, reducing the delay as much as possible. By necessity this results in a trade off between delay and MT quality. This subject was discussed in a previous blog post. The full pipe […]

May 5, 2021 NLP

WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia

Abstract We present an approach based on multilingual sentence embeddings to automatically extract parallel sentences from the content of Wikipedia articles in 96 languages, including several dialects or low-resource languages. We systematically consider all possible language pairs. In total, we are able to extract 135M parallel sentences for 1620 different language pairs, out of which only 34M are aligned with English. This corpus is freely available. To get an indication on the quality of the extracted bitexts, we train neural […]

May 5, 2021 NLP

Autoregressive Entity Retrieval

May 5, 2021 NLP

Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval

May 3, 2021 By: Wenhan Xiong, Xiang Lorraine Li, Srinivasan Iyer, Jingfei Du, Patrick Lewis, William Wang, Yashar Mehdad, Wen-tau Yih, Sebastian Riedel, Douwe Kiela, Barlas Oğuz Abstract We propose a simple and efficient multi-hop dense retrieval approach for answering complex open-domain questions, which achieves state-of-the-art performance on two multi-hop datasets, HotpotQA and multi-evidence FEVER. Contrary to previous work, our method does not require access to any corpus-specific information, such as inter-document hyperlinks or human-annotated entity markers, and can be […]

May 4, 2021 Advanced, NLP, Python, Structured Data, Supervised, Text

Stock Price Movement Based On News Headline

Don’t look for the needle in the haystack. Just buy the haystack! I hope you all are well. Hurray!! finally today our theme is similar to our beautiful quote😅. I always look for new ideas to share my knowledge, because I heard that “Knowledge shared is knowledge squared😊”. Most of you already know something about Share Market. In this article, we will explore something new and interesting. So let’s dig deeper into our today’s theme. This article is actually based […]

May 3, 2021 NLP

How to Prevent Machine Learning Models from Failing in Practice?

Have you seen machine learning solutions fall flat in practice? Well, I have. Several times. I get occasional panic calls from teams about their 98% accurate models generating questionable predictions once released to actual users. Did they build a bad model? Maybe. But the real issue is that the majority of these teams skipped a step. And that step is testing. Not just any type of testing, but post-development testing (PDT). What is Post-Development Testing (PDT)? Post-development testing in the context of machine learning is an experimentation period […]

May 1, 2021 Advanced, Machine Learning, NLP, Python, Text, Topic Modeling, Unstructured Data

Topic Modelling in Natural Language Processing

Introduction Natural language processing is the processing of languages used in the system that exists in the library of nltk where this is processed to cut, extract and transform to new data so that we get good insights into it. It uses only the languages that exist in the library because NLP-related things exist there itself so it cannot understand the things beyond what is present in it. If you do processing on another language then you have to add […]

April 30, 2021 Advanced, Data Exploration, Data Visualization, NLP, Python, Text, Unstructured Data, Unsupervised

WhatsApp Group Chat Analysis using Python

Introduction Today one of the trendy social media platforms is…. guess what? One and only Whatsapp😅. It is one of the favorite social media platforms among all of us because of its attractive features. It has more than 2B users worldwide and “According to one survey an average user spends more than 195 minutes per week on WhatsApp”. How terrible the above statement is. Leave all these things and let’s understand what actually WhatsApp analyzer means? WhatsApp Analyzer means we […]

« 1 … 21 22 23 24 25 … 71 »