#网络爬虫#Python scraper for Language Pods such as Japanesepod101.com 👹 🗾 🍣 Compatible with Japanese, Chinese, French, German, Italian, Korean, Portuguese, Russian, Spanish and many mo...
翻译 - Python scraper for Language Pods such as Japanesepod101.com 👹 🗾 🍣 Compatible with Japanese, Chinese, French, German, Italian, Korean, Portuguese, Russian, Spanish and many more! ✨
Diccionarios de: usuarios, passwords, XSS, ficheros, carpetas, dorks, etc .. ( hackingyseguridad.com )
#自然语言处理#Unannotated Spanish 3 Billion Words Corpora
Free Human Language Learning Resources
The robust European language model benchmark.
#自然语言处理#Complete Conjugation of any Verb(e) in Catalan, French, Italian, Portuguese, Romanian or Spanish and conjugate unknown verbs using Machine Learning
JavaScript con sintaxis en Español | Lenguaje de programación en Español basado en JavaScript
#自然语言处理#Metaphone is a phonetic algorithm, an algorithm published in 1990 for indexing words by their English pronunciation. It fundamentally improves on the Soundex algorithm by using information about varia...
Language Models for the legal domain in Spanish done @ BSC-TEMU within the "Plan de las Tecnologías del Lenguaje" (Plan-TL).
#自然语言处理#Dockerized Python microservice with REST API for verbs conjugation in French, Spanish and Portuguese
Spanish Wordlist
El paquete "laravel-lat-es" ofrece traducciones en español para Laravel, permitiendo que tus proyectos en Laravel cuenten con los archivos de traducción en español por defecto. Con este paquete, podrá...
Convierte tus fotografías en poemas usando BLIP + GPT-4
Text-to-Speech conversor for Basque and Spanish. It includes linguistic processing and built voices for the languages aforementioned. Its acoustic engine is based on hts_engine and it uses a high qual...
#自然语言处理#Automatic phonetic transcriptor of the Spanish language.
Biomedical Word embeddings generated from Spanish Biomedical corpora.
My public domain speech index
#自然语言处理#A tutorial about NLP technologies available for the Spanish language
#自然语言处理#Spanish Word Embeddings computed from large corpora and different sizes using fastText.