English loanwords in the world's languages

Overview

CLDF validation DOI

Wiktionary as CLDF

Content

  • cldf1 and cldf2 contain cldf-conform data sets with a total of 2 377 756 entries about the vocabulary of all 1403 languages of the English Wiktionary.
  • raw1 and raw2 together contain 1403 csv-files of 125MB size in total. File names are languages as they appear on the English Wiktionary. Each file consist of 4 columns: 'L2_orth' representing the orthographical form of the word, 'L2_ipa' its IPA-transcription, 'L2_gloss' its English explanation and 'L2_etym' its etymology iff it is borrowed from English
  • lgs contains text-files with wordlists for every language that appears on the English Wiktionary. Files were created with WiktionaryParser.java.
  • WiktionaryParser.java is a courtesy of Tomasz Jastrząb and was used to retrieve the wordlists found in the folder lgs
  • lglist.txt is a complete list of languages that appear on the English Wiktioanry.
  • lglist_full.txt is a copy of lglist.txt - since the latter serves as input for makedfs.py it can be modified according to one's needs without losing the full list.
  • LICENSE: MIT
  • makedfs.py - The parser with which the csv files where obtained. With a download speed of 144Mbps it needed 58 hours to parse all the languages from aari until zuni.
  • makedfs.ipynb - Some notes, documenting the making-of of the parser
  • parser.log - Documenting corrupted file names and handling of errors that occured while squeezing parsed data into data frames
  • dfs is an empty folder into which the parser writes its results. Generated outputs were migrated to raw1 and raw2 due to Git's limitation of maximum 1000 files per directory
  • changelog.txt - documenting manual deletion of false positive and insertion of false negative English loanwords
  • cldf is an empty folder to which dfs2cldf.py writes it output. Generated output had to be migrated to folders cldf1 and cldf2 due to Github's limit of 1000 files per directory

remarks

  • Sometimes the column "L2_etym" is not displayed by the csv-viewer in Github. This is likely the case whenever the first 100 lines of the column are empty. Clicking on "raw", the column can be seen again.
  • The reason why columns have the "L2_" prefix is that this data was first used for baseline tests, where they served as pseudo-donor words (hence "L2" ~ second language ~ donor language), even though in the current setting they represent the recipient language (L1). The distinction L1-L2 is only internal.

Todo

  • remove middle_english and old_english.csv, and generally anything with middle_ or old_ in it.
  • add missing IPA transcriptions using epitran, copius_api, espeak-ng and potential other software
  • Try to contribute those new IPA transcriptions to Wiktionary
You might also like...
Accurately generate all possible forms of an English word e.g "elect", "electoral", "electorate" etc." data-original="https://github.com/gutfeeling/word_forms/raw/master/logo.png" >
Accurately generate all possible forms of an English word e.g "election" -- "elect", "electoral", "electorate" etc.

Accurately generate all possible forms of an English word Word forms can accurately generate all possible forms of an English word. It can conjugate v

A Chinese to English Neural Model Translation Project

ZH-EN NMT Chinese to English Neural Machine Translation This project is inspired by Stanford's CS224N NMT Project Dataset used in this project: News C

An easy-to-use Python module that helps you to extract the BERT embeddings for a large text dataset (Bengali/English) efficiently.

An easy-to-use Python module that helps you to extract the BERT embeddings for a large text dataset (Bengali/English) efficiently.

This program do translate english words to portuguese

Python-Dictionary This program is used to translate english words to portuguese. Web-Scraping This program use BeautifulSoap to make web scraping, so

The aim of this task is to predict someone's English proficiency based on a text input.

English_proficiency_prediction_NLP The aim of this task is to predict someone's English proficiency based on a text input. Using the The NICT JLE Corp

Yodatranslator is a simple translator English to Yoda-language

yodatranslator Overview yodatranslator is a simple translator English to Yoda-language. Project is created for educational purposes. It is intended to

Simple program that translates the name of files into English

Simple program that translates the name of files into English. Useful for when editing/inspecting programs that were developed in a foreign language.

A unified tokenization tool for Images, Chinese and English.

ICE Tokenizer Token id [0, 20000) are image tokens. Token id [20000, 20100) are common tokens, mainly punctuations. E.g., icetk[20000] == 'unk', ice

Releases(v1.0)
Owner
Viktor Martinović
Computational historical linguistics
Viktor Martinović
Honor's thesis project analyzing whether the GPT-2 model can more effectively generate free-verse or structured poetry.

gpt2-poetry The following code is for my senior honor's thesis project, under the guidance of Dr. Keith Holyoak at the University of California, Los A

Ashley Kim 2 Jan 09, 2022
The guide to tackle with the Text Summarization

The guide to tackle with the Text Summarization

Takahiro Kubo 1.2k Dec 30, 2022
Python bot created with Selenium that can guess the daily Wordle word correct 96.8% of the time.

Wordle_Bot Python bot created with Selenium that can guess the daily Wordle word correct 96.8% of the time. It will log onto the wordle website and en

Lucas Polidori 15 Dec 11, 2022
Spooky Skelly For Python

_____ _ _____ _ _ _ | __| ___ ___ ___ | |_ _ _ | __|| |_ ___ | || | _ _ |__ || . || . || . || '

Kur0R1uka 1 Dec 23, 2021
This is the 25 + 1 year anniversary version of the 1995 Rachford-Rice contest

Rachford-Rice Contest This is the 25 + 1 year anniversary version of the 1995 Rachford-Rice contest. Can you solve the Rachford-Rice problem for all t

13 Sep 20, 2022
New Modeling The Background CodeBase

Modeling the Background for Incremental Learning in Semantic Segmentation This is the updated official PyTorch implementation of our work: "Modeling t

Fabio Cermelli 9 Dec 28, 2022
中文医疗信息处理基准CBLUE: A Chinese Biomedical LanguageUnderstanding Evaluation Benchmark

English | 中文说明 CBLUE AI (Artificial Intelligence) is playing an indispensabe role in the biomedical field, helping improve medical technology. For fur

452 Dec 30, 2022
Pipelines de datos, 2021.

Este repo ilustra un proceso sencillo de automatización de transformación y modelado de datos, a través de un pipeline utilizando Luigi. Stack princip

Rodolfo Ferro 8 May 19, 2022
JaQuAD: Japanese Question Answering Dataset

JaQuAD: Japanese Question Answering Dataset for Machine Reading Comprehension (2022, Skelter Labs)

SkelterLabs 84 Dec 27, 2022
SASE : Self-Adaptive noise distribution network for Speech Enhancement with heterogeneous data of Cross-Silo Federated learning

SASE : Self-Adaptive noise distribution network for Speech Enhancement with heterogeneous data of Cross-Silo Federated learning We propose a SASE mode

Tower 1 Nov 20, 2021
Tensorflow Implementation of A Generative Flow for Text-to-Speech via Monotonic Alignment Search

Tensorflow Implementation of A Generative Flow for Text-to-Speech via Monotonic Alignment Search

Ankur Dhuriya 10 Oct 13, 2022
Various Algorithms for Short Text Mining

Short Text Mining in Python Introduction This package shorttext is a Python package that facilitates supervised and unsupervised learning for short te

Kwan-Yuet 466 Dec 06, 2022
This program do translate english words to portuguese

Python-Dictionary This program is used to translate english words to portuguese. Web-Scraping This program use BeautifulSoap to make web scraping, so

João Assalim 1 Oct 10, 2022
Recognition of 38 speech commands in russian. Based on Yandex Cup 2021 ML Challenge: ASR

Speech_38_ru_commands Recognition of 38 speech commands in russian. Based on Yandex Cup 2021 ML Challenge: ASR Программа умеет распознавать 38 ключевы

Andrey 9 May 05, 2022
CDLA: A Chinese document layout analysis (CDLA) dataset

CDLA: A Chinese document layout analysis (CDLA) dataset 介绍 CDLA是一个中文文档版面分析数据集,面向中文文献类(论文)场景。包含以下10个label: 正文 标题 图片 图片标题 表格 表格标题 页眉 页脚 注释 公式 Text Title

buptlihang 84 Dec 28, 2022
List of GSoC organisations with number of times they have been selected.

Welcome to GSoC Organisation Frequency And Details 👋 List of GSoC organisations with number of times they have been selected, techonologies, topics,

Shivam Kumar Jha 41 Oct 01, 2022
Korea Spell Checker

한국어 문서 koSpellPy Korean Spell checker How to use Install pip install kospellpy Use from kospellpy import spell_init spell_checker = spell_init() # d

kangsukmin 2 Oct 20, 2021
Speech to text streamlit app

Speech to text Streamlit-app! 👄 This speech to text recognition is powered by t

Charly Wargnier 9 Jan 01, 2023
This repository contains the code for running the character-level Sandwich Transformers from our ACL 2020 paper on Improving Transformer Models by Reordering their Sublayers.

Improving Transformer Models by Reordering their Sublayers This repository contains the code for running the character-level Sandwich Transformers fro

Ofir Press 53 Sep 26, 2022