---
title: "Topics — NLP concepts and the papers behind Mova"
description: "NLP concepts in plain words — parsing, coreference, speech acts, translation and more — each with how Mova does it and our cards of the papers on it."
canonical: "https://research.elamur.ai/free/en/topics/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/topics/)

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

# Topics

A page per concept of language technology: what it is in plain words, how Mova does it, and the cards of the papers on it from the Research library, best first. The cards are also listed by [author](https://md.research.elamur.ai/free/en/authors/) and on the [papers](https://md.research.elamur.ai/free/en/projects/mova/) front.

- [𒀭](https://md.research.elamur.ai/free/en/topics/akkadian-cuneiform-nlp/) — Akkadian and cuneiform NLP · The language of Babylon and Assyria and the wedge-shaped script it was written in. · 15 cards
- [🏷️](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) — Named entity recognition · Finding the names in a text and saying what each names: a person, a place, an organization. · 10 cards
- [🧵](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) — Discourse analysis · How the sentences of a text hang together: what follows from what, and why. · 86 cards
- [💬](https://md.research.elamur.ai/free/en/topics/speech-act-theory/) — Speech act theory · Saying as doing: asking, promising, ordering, thanking. · 34 cards
- [😉](https://md.research.elamur.ai/free/en/topics/implicature/) — Implicature · What a speaker means beyond what the words say. · 19 cards
- [🔗](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) — Coreference resolution · Which words of a text name the same person or thing. · 96 cards
- [🔀](https://md.research.elamur.ai/free/en/topics/word-sense-disambiguation/) — Word sense disambiguation · Choosing the meaning a word has in its sentence. · 22 cards
- [🌳](https://md.research.elamur.ai/free/en/topics/dependency-parsing/) — Dependency parsing · Every word of a sentence attached to the word it depends on. · 98 cards
- [🌐](https://md.research.elamur.ai/free/en/topics/universal-dependencies/) — Universal Dependencies · One way to annotate the grammar of every language. · 74 cards
- [🗂️](https://md.research.elamur.ai/free/en/topics/treebanks/) — Treebanks · Corpora where every sentence comes with its grammatical tree. · 139 cards
- [🎭](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/) — Semantic role labeling · Who did what to whom, where, when and why. · 46 cards
- [🔤](https://md.research.elamur.ai/free/en/topics/part-of-speech-tagging/) — Part-of-speech tagging · Noun, verb, adjective: the part of speech of every word in its context. · 80 cards
- [🔁](https://md.research.elamur.ai/free/en/topics/machine-translation/) — Machine translation · Translating text from one language to another by program. · 326 cards

## Fields

The topics above are concepts of language; every field of the library has its shelf.

- [🗣️](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. · 3577 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. · 851 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. · 1506 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. · 209 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. · 111 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. · 4 papers
- [⚖️](https://md.research.elamur.ai/free/en/shelves/law/) — Law · Legal reasoning and argumentation, law and AI, formal and Talmudic law, legal texts. · 37 papers
- [🏛️](https://md.research.elamur.ai/free/en/shelves/history/) — History & humanities · History and civilisation, disasters of the past, scripture and tradition, the digital humanities. · 21 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. · 2 papers
- [📦](https://md.research.elamur.ai/free/en/shelves/other/) — Other · Works whose topics fit none of the fields above yet. · 743 papers