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Language resource management – Lexical markup framework (LMF; ISO 24613), produced by ISO/TC 37, is the ISO standard for natural language processing (NLP) and machine-readable dictionary (MRD) lexicons. [1] The scope is standardization of principles and methods relating to language resources in the contexts of multilingual communication.
In a narrower sense, language resource is specifically applied to resources that are available in digital form, and then, "encompassing (a) data sets (textual, multimodal/multimedia and lexical data, grammars, language models, etc.) in machine readable form, and (b) tools/technologies/services used for their processing and management". [1]
ISO/TC 37 is a technical committee within the International Organization for Standardization (ISO) that prepares standards and other documents concerning methodology and principles for terminology and language resources.
Different standards for the machine-readable edition of lexical resources exist, e.g., Lexical Markup Framework (LMF) an ISO standard for encoding lexical resources, comprising an abstract data model and an XML serialization, [2] and OntoLex-Lemon, an RDF vocabulary for publishing lexical resources as knowledge graphs on the web, e.g., as Linguistic Linked Open Data.
Machine-readable dictionary (MRD) is a dictionary stored as machine-readable data instead of being printed on paper. It is an electronic dictionary and lexical database.. A machine-readable dictionary is a dictionary in an electronic form that can be loaded in a database and can be queried via application software.
lexical form: surface form of a particular lexical entry, e.g., its written representation; lexical sense: word sense of a particular lexical entry. Note that a OntoLex-Lemon senses are lexicalized, i.e., they belong to exactly one lexical entry. For elements of meaning that can be expressed by different lexemes, use lexical concept.
Terminology extraction (also known as term extraction, glossary extraction, term recognition, or terminology mining) is a subtask of information extraction.The goal of terminology extraction is to automatically extract relevant terms from a given corpus.
A strong focus at UKP Lab is on utilizing novel natural language processing algorithms in real-life applications. UKP Lab collaborates with partners from academia and industry to improve various application scenarios, such as customer relationship management, digital humanities, educational applications, or public security.
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