Some of these packages—such as wit and apiai—offer built-in features, like natural language processing for identifying a speaker’s intent, which go beyond basic speech recognition. Others, like google-cloud-speech, focus solely on speech-to-text conversion. There is one package that stands out in terms of ease-of-use: SpeechRecognition.
This dataset library will be constantly updated with new curated lists of the best datasets for each category and use case. Subscribe to our newsletter to receive notifications for future updates and keep up with all the latest in machine learning.. Lionbridge Data Annotation Services

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By nlp. In conferences. tags: corpora resources intelligibility stress collocations. The following papers have been accepted at LREC 2014: Building a Dataset of Multilingual Cognates for the Romanian Lexicon, by Alina Maria Ciobanu and Liviu P. Dinu. On the Romance Languages Mutual Intelligibility, by Alina Maria Ciobanu and Liviu P. Dinu
Context. The HC Corpora was a great resource that contains natural language text from various newspapers, social media posts and blog pages in multiple languages. This is a cleaned version of the raw data from newspaper subset of the HC corpus.

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We propose a benchmark dataset for evaluating Viet-namese multiple-choice reading comprehension task. Our dataset is the first dataset for Vietnamese multi-choice machine reading comprehension. The number of questions in our dataset is larger than that of MCTest [10], which is the English first dataset published to motivate many MRC studies.
This tutorial uses torchtext to generate Wikitext-2 dataset. The vocab object is built based on the train dataset and is used to numericalize tokens into tensors. Starting from sequential data, the batchify() function arranges the dataset into columns, trimming off any tokens remaining after the data has been divided into batches of size batch ...

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The following table shows the list of datasets for English-language entity recognition (for a list of NER datasets in other languages, see below). The data directory contains information on where to obtain those datasets which could not be shared due to licensing restrictions, as well as code to convert them (if necessary) to the CoNLL 2003 format.
Mar 06, 2017 · For example, Voikko has some python module on github to use and Gensim is a nice tool for many NLP processing tasks, including Word2Vec on python. Also lots of datasets, especially for the English language, to use as pretrained word2vec models. For example, Facebooks FastText, Stanfords Glove datasets, Google news corpus from here. Anyway, some ...

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We propose a benchmark dataset for evaluating Viet-namese multiple-choice reading comprehension task. Our dataset is the first dataset for Vietnamese multi-choice machine reading comprehension. The number of questions in our dataset is larger than that of MCTest [10], which is the English first dataset published to motivate many MRC studies.
downstream Vietnamese NLP tasks: POS tagging, Dependency parsing, NER and NLI. Downstream task datasets Table1presents the statistics of the experimental datasets that we employ for downstream task eval-uation. For POS tagging, Dependency parsing and NER, we follow the VnCoreNLP setup (Vu et al., 2018), using standard benchmarks of the VLSP

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The accuracy of raw tesseract on our test dataset was somehwere about 0.5-0.6 BLEU. Once we were able to isolate individual parts of the image and feed it to tesseract, we were able to get around 0.9 BLEU on the same dataset.
PAPERS: Evaluation datasets for twitter sentiment analysis (Saif, Fernandez, He, Alani) NOTES: As Sentiment140, but the dataset is smaller and with human annotators. It comes with 3 files: tweets, entities (with their sentiment) and an aggregate set. Customer Review Dataset (Product reviews)

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Natural Language Processing - AI/Robotics Questa sessione di formazione in aula esplorerà le tecniche di PNL in combinazione con l'applicazione di AI e Robotica nel mondo degli affari I delegati in...
Also, regarding the datasets employed inthis study, our proposed BERT fine-tuning method produces amodel with better performance than the original BERT fine-tuning method. Sentiment analysis is an important task in the field ofNature Language Processing (NLP), in which users' feedbackdata on a specific issue are evaluated and analyzed.

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PAPERS: Evaluation datasets for twitter sentiment analysis (Saif, Fernandez, He, Alani) NOTES: As Sentiment140, but the dataset is smaller and with human annotators. It comes with 3 files: tweets, entities (with their sentiment) and an aggregate set. Customer Review Dataset (Product reviews)

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We propose a benchmark dataset for evaluating Viet-namese multiple-choice reading comprehension task. Our dataset is the first dataset for Vietnamese multi-choice machine reading comprehension. The number of questions in our dataset is larger than that of MCTest [10], which is the English first dataset published to motivate many MRC studies.
With the growing information on web, online movie review is becoming a significant information resource for Internet users. However, online users post thousands of movie reviews on daily basis and it is hard for them to manually summarize the reviews. Movie review mining and summarization is one of the challenging tasks in natural language processing. Therefore, an automatic approach is ...

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This dataset is a combination of two corpora: (i) the first one is the Vietnamese Wikipedia corpus (∼ 1GB), and (ii) the second corpus (∼ 19GB) is a subset of a 40GB Vietnamese news corpus after filtering out similar news and duplications. 2
[email protected] is a scientific research group on Natural Language Processing and Computational Linguistics. Members in our group are lecturers, undergraduate and postgraduate students from Vietnam National University- Ho Chi Minh City (VNU-HCM).
Dec 11, 2020 · Underthesea - Vietnamese NLP Toolkit underthesea is a suite of open source Python modules, data sets and tutorials supporting research and development in Vietnamese Natural Language Processing. 💫 Version 1.3.0 out now!
Jan 14, 2016 · The Percentile Chart, or Cumulative Distribution Function (CDF), is commonly used as a way to visualize the distribution of values in a dataset. Often times just looking at just the average or min/max of the data might be misleading and understanding the distribution of the data is as important as the aggregated value itself.
Jun 15, 2020 · Dialogflow (previously API.ai) is one of the leading chatbot builder platforms. It uses NLP, which enables us to build and implement the interactive interface for mobile and web apps. In this article, I will show you how to create a simple chatbot using Dialogflow. You will find details about the tools and the technology used […]

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