---
title: "Shelves — the library by field — Elamur Research"
description: "7724 papers on 13 field shelves — linguistics, machine translation, NLP, AI, computing, law and more — and 1626 cards by language."
canonical: "https://research.elamur.ai/free/en/shelves/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/)

[home](https://md.research.elamur.ai/free/en/) / shelves

# Shelves

The library by field: 7724 papers on 13 shelves, linguistics first. A paper can stand on several.

Also by [year](https://md.research.elamur.ai/free/en/papers/), [topic](https://md.research.elamur.ai/free/en/topics/) and [author](https://md.research.elamur.ai/free/en/authors/).

- [🗣️](https://md.research.elamur.ai/free/en/shelves/linguistics/) — Linguistics & languages · Grammar, treebanks and parsing, pragmatics and discourse, the lexicon, and the languages themselves — English, French, Latin, Ancient Greek, Hebrew, Aramaic, Semitic and more. · 4683 papers
- [🌐](https://md.research.elamur.ai/free/en/shelves/machine-translation/) — Machine translation · Interlingua and transfer, rule-based and statistical MT, tree-to-tree, style transfer and how translation is measured. · 926 papers
- [💬](https://md.research.elamur.ai/free/en/shelves/nlp/) — Natural language processing · Computational linguistics from the ACL Anthology and arXiv: language models, information extraction, dialogue, evaluation. · 2421 papers
- [🤖](https://md.research.elamur.ai/free/en/shelves/ai/) — AI & machine learning · Neural networks and learning, reasoning, knowledge graphs, continual and interactive learning, how AI is evaluated. · 240 papers
- [🖥️](https://md.research.elamur.ai/free/en/shelves/computing/) — Computing & GPUs · GPUs and parallel computing, compilers and languages, systems, databases, security, search and the web. · 121 papers
- [➗](https://md.research.elamur.ai/free/en/shelves/mathematics/) — Mathematics & statistics · Mathematics, proofs, computational mathematics, word problems and how machines learn to solve them, statistics. · 161 papers
- [🧬](https://md.research.elamur.ai/free/en/shelves/life-sciences/) — Life sciences & medicine · Biology, chemistry, medicine and health, and the language processing built for them. · 6 papers
- [⚖️](https://md.research.elamur.ai/free/en/shelves/law/) — Law · Legal reasoning and argumentation, law and AI, formal and Talmudic law, legal texts. · 55 papers
- [📈](https://md.research.elamur.ai/free/en/shelves/economics/) — Economics & trade · Economics, finance, trade and game theory. · 1 paper
- [🏛️](https://md.research.elamur.ai/free/en/shelves/history/) — History & humanities · History and civilisation, disasters of the past, scripture and tradition, the digital humanities. · 39 papers
- [🎓](https://md.research.elamur.ai/free/en/shelves/education/) — Education · Teaching and learning, learners' language, educational applications. · 19 papers
- [🤝](https://md.research.elamur.ai/free/en/shelves/society/) — Society & ethics · Computers and society, social networks, fairness, trust, privacy and politics. · 6 papers
- [📦](https://md.research.elamur.ai/free/en/shelves/other/) — Other · Works whose topics fit none of the fields above yet. · 743 papers

## Linguistics by language

Mova's paper cards on 6 language shelves, 1626 cards.

- [English](https://md.research.elamur.ai/free/en/shelves/en/) — Morphology, parsing, pragmatics, coreference, reading comprehension, generation, and the history of English. · 786 cards
- [Ancient Hebrew](https://md.research.elamur.ai/free/en/shelves/hbo/) — Biblical and Mishnaic Hebrew: grammar, segmentation, treebanks, the Masoretic text, roots and binyanim. · 226 cards
- [Modern Hebrew](https://md.research.elamur.ai/free/en/shelves/he/) — Morphological segmentation, parsing, language models and corpora of today's Hebrew. · 137 cards
- [Aramaic](https://md.research.elamur.ai/free/en/shelves/arc/) — Biblical and Imperial Aramaic, the Targumim, Syriac, the Talmud's Aramaic, Neo-Aramaic. · 20 cards
- [Semitic languages](https://md.research.elamur.ai/free/en/shelves/sem/) — Comparative Semitic and Semitic NLP: Arabic, Akkadian, Ge'ez, Maltese — roots, templates, agreement. · 147 cards
- [Machine translation](https://md.research.elamur.ai/free/en/shelves/mtrans/) — Interlingua and transfer, tree-to-tree, rule-based MT, generation, style and Bible translation, evaluation. · 310 cards