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Terminology mining, term extraction, term recognition, or glossary extraction, is a subtask of information extraction. The goal of terminology extraction is to automatically extract relevant terms from a given corpus.
In the semantic web era, a growing number of communities and networked enterprises started to access and interoperate through the internet. Modeling these communities and their information needs is important for several web applications, like topic-driven web crawlers, web services, recommender systems, etc. The development of terminology extraction is essential to the language industry.
One of the first steps to model the knowledge domain of a virtual community is to collect a vocabulary of domain-relevant terms, constituting the linguistic surface manifestation of domain concepts. Several methods to automatically extract technical terms from domain-specific document warehouses have been described in the literature.
Typically, approaches to automatic term extraction make use of linguistic processors (part of speech tagging, phrase chunking) to extract terminological candidates, i.e. syntactically plausible terminological noun phrases, NPs (e.g. compounds "credit card", adjective-NPs "local tourist information office", and prepositional-NPs "board of directors" - in English, the first two constructs are the most frequent). Terminological entries are then filtered from the candidate list using statistical and machine learning methods. Once filtered, because of their low ambiguity and high specificity, these terms are particularly useful for conceptualizing a knowledge domain or for supporting the creation of a domain ontology. Furthermore, terminology extraction is a very useful starting point for semantic similarity, knowledge management, human translation and machine translation, etc.
- Computational linguistics
- Natural language processing
- Domain ontology
- Subject indexing
- Taxonomy (general)
- Text mining
- Text simplification
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- Dandelion API is a web-based multi-lingual named entity extraction API / text similarity API / text classifier API on custom/IPTC categories
- TexLexAn - An open-source text summarizer and keyword extractor.
- Anchovy Anchovy is a free multilingual cross-platform glossary editor and term extraction tool based on the open Glossary Markup Language (GlossML) format.
- Lexterm, a free/open-source Lexical Extractor for Terminology and Translation (mono- and bilingual extraction).
- Sematext Key Phrase Extractor, a package for extraction of Collocations, Statistically Improbable Phrases (SIPs), etc. by Sematext
- Five Filters Term Extraction, a free software term extraction service web application
- AlchemyAPI, a web-based multi-lingual keyword / terminology extraction API web application
- Zemanta API, a web-based keyword extraction and disambiguation API by Zemanta
- Terms-Gekko, online terminology extraction tool for translators and linguists by Gekko-Labs
- Yahoo Term Extraction API web application
- Introduction to terminology management, by IBM
- TerMine, a term management system by the UK's National Centre for Text Mining. web application
- TermExtractor, a free terminology extraction web application
- TermFinder, free online terminology extractor web application
- Statistical Bilingual Terminology Extractor, online terminology extractor web application
- Ngram Statistics Package, open source package for identifying collocations
- Heartsome Araya Bilingual Terminology Extractor for TMX files, by Heartsome Europe
- Gabor Melli's info page on terminology extraction
- Ultimate Research Assistant, A free online literacy tool with strong multi-lingual terminology extraction capabilities and visualizations including bar charts, mind maps, and taxonomies. Includes XML web services for term extraction, text summarization, and taxonomy generation / clustering.
- Semantria, a web-based multi-lingual keyword, entity, and theme extraction SaaS API web application
- EntityClassifier.eu, an English/German/Dutch entity extraction web application and SaaS API built on top of Linked Hypernyms Dataset