The voices that will bring your projects to life We support different Varieties of the English Language (US, UK, Australia, India, and Welsh), Spanish, Spanish Mexican, Portuguese, Brazilian Portuguese, French, Canadian French, German, Russian, Catalan, Bengali, Danish, Welsh, Turkish, Hindi, ...
jackfrost1411 / machine-translation-english-to-hindi Star 7 Code Issues Pull requests Machine translation using the seq2seq model nlp data-science natural-language-processing deep-learning machine-translation python3 naturallanguageprocessing machinetranslation towards-data-science Updated Mar 8, ...
Introduction to Natural Language Processing Consider any of these languages, say, English, Hindi, French, or any of the numerous languages which have evolved naturally in humans through use and repetition without conscious planning can be termed as natural language. Humans can easily comprehend these...
It aims to cover both traditional and core NLP tasks such as dependency parsing and part-of-speech tagging as well as more recent ones such as reading comprehension and natural language inference. The main objective is to provide the reader with a quick overview of benchmark datasets and the ...
SivaReddy's Dependency ParserDependency Parser and Pos Tagger for Kannada, Hindi and Telugu.Python3 Port iNLTK- A Natural Language Toolkit for Indic Languages (Indian subcontinent languages) built on top of Pytorch/Fastai, which aims to provide out of the box support for common NLP tasks. ...
An Expressive Poetry Reader We present SPARSAR, a system for the automatic analysis of poetry(and text) style. It makes use of NLP tools like tokenizers, sentence splitters, NER (Name Entity Recognition) tools, and a tagger. In addition, it adds syntactic and seman... R Delmonte 被引量...
It aims to cover both traditional and core NLP tasks such as dependency parsing and part-of-speech tagging as well as more recent ones such as reading comprehension and natural language inference. The main objective is to provide the reader with a quick overview of benchmark datasets and the ...
Here, we have translated a piece of text into three languages (French, Mandarin, and Hindi). The list of language codes can be obtained from https://cloud.google.com/translate/docs/basic/translating-text#language-params: from textblob import TextBloblanguages = ['fr','zh-CN','hi']for lan...
architecture. A full overview of the recent general progress in this field in NLP would be out of the scope of the present article (we refer the reader to Lenci (2023) for an updated state of the current research), and thus we limit ourselves to the work done for the Cantonese language...
It aims to cover both traditional and core NLP tasks such as dependency parsing and part-of-speech tagging as well as more recent ones such as reading comprehension and natural language inference. The main objective is to provide the reader with a quick overview of benchmark datasets and the ...