NewEvery arXiv paper, its researchers & institutions — mapped.
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6 results
cs.CV2019

The VIA Annotation Software for Images, Audio and Video

Abhishek Dutta, Andrew Zisserman

The paper presents VIA, a lightweight, browser‑based annotation tool for images, audio, and video that requires no installation and supports defining spatial regions and temporal s…

#image annotation#video annotation#audio annotation#web-based tool
cs.SE2019

Do as I Do, Not as I Say: Do Contribution Guidelines Match the GitHub Contribution Process?

Omar Elazhary, Margaret-Anne Storey, Neil Ernst +1

The paper investigates whether the contribution guidelines posted by GitHub projects match the actual contribution workflow, analyzing 53 projects and finding that about two‑thirds…

#contribution guidelines#open source#github workflow#process compliance
cs.CL2019

CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages

Kyubyong Park, Thomas Mulc

The paper presents CSS10, a publicly released collection of single‑speaker speech recordings and aligned texts for ten languages sourced from LibriVox, and validates the data by tr…

#speech datasets#multilingual#text-to-speech#single speaker
cs.CL2019

DELTA: A DEep learning based Language Technology plAtform

Kun Han, Junwen Chen, Hui Zhang +20

DELTA is an open‑source, deep‑learning platform that integrates popular neural network models and deployment tools to support a range of natural language and speech processing task…

#nlp#speech processing#deep learning#model deployment
cs.CL2019

Nefnir: A high accuracy lemmatizer for Icelandic

Svanhvít Lilja Ingólfsdóttir, Hrafn Loftsson, Jón Friðrik Daðason +1

The paper presents Nefnir, an open‑source lemmatizer for Icelandic that uses suffix substitution rules derived from a large morphological database, achieving up to 99.55% accuracy…

#lemmatization#icelandic#morphology#suffix substitution
cs.LG2019

Git Blame Who?: Stylistic Authorship Attribution of Small, Incomplete Source Code Fragments

Edwin Dauber, Aylin Caliskan, Richard Harang +4

The paper presents a method for attributing authorship of short, incomplete source code fragments by aggregating classification probabilities across multiple samples, achieving nea…

#authorship attribution#source code analysis#privacy#ensemble classification