# LINSPECTOR WEB: A Multilingual Probing Suite for Word Representations

## TL;DR

LINSPECTOR WEB is a multilingual web-based tool that enables researchers to analyze and visualize word representations across 28 languages using various linguistic probing tasks, aiding low-resource language NLP research.

## Contribution

It introduces a user-friendly, multilingual probing suite supporting static and pretrained embeddings, with visualization features, for quick linguistic analysis outside of English.

## Key findings

- Supports 28 languages with 16 linguistic tasks
- Visualizes results via polar charts and tables
- Accessible online and offline tools for researchers

## Abstract

We present LINSPECTOR WEB, an open source multilingual inspector to analyze word representations. Our system provides researchers working in low-resource settings with an easily accessible web based probing tool to gain quick insights into their word embeddings especially outside of the English language. To do this we employ 16 simple linguistic probing tasks such as gender, case marking, and tense for a diverse set of 28 languages. We support probing of static word embeddings along with pretrained AllenNLP models that are commonly used for NLP downstream tasks such as named entity recognition, natural language inference and dependency parsing. The results are visualized in a polar chart and also provided as a table. LINSPECTOR WEB is available as an offline tool or at https://linspector.ukp.informatik.tu-darmstadt.de.