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Written text has been the preferred medium for storing health data ever since Hippocrates, and the medical narrative is what enables a humanized clinical relationship. Can’t we admit natural language as a user-accepted technology that has stood against the test of time? We have previously presented a controlled natural language as a human-computer interface for semantic data capture already at the point of care. Our computable language was driven by a linguistic interpretation of the conceptual model of the Systematized Nomenclature of Medicine – Clinical Terms (SNOMED CT). This paper presents an extension that allows the capture of measurement results with numerical values and units. We discuss the relation our method can have with emerging clinical information modelling.

The article presents a source code generating extension to Språkbanken's morphological dictionary building tool, the "Morphology lab". This is done for three reasons: 1) to include the speech community in the morphological dictionary making 2) to enable a time-resistant, human readable description of Votic morphology 3) source code generation minimizes the efforts keeping multiple language technologies in sync when the morphological dictionary is updated. The morphological dictionary tool uses Extract Morphology that extracts the paradigm descriptions automatically from user input inflection tables. In this way the user's linguistic and technological knowledge is kept at a bare minimum. The presented extension encodes both the lexical information and the procedural paradigm descriptions into the ISO standard Lexical Markup Framework (LMF). From this central representation program source code is generated for morphological analysis and synthesis modules in two language technological systems: the Grammatical Framework and the Giellatekno infrastructure. Integration into the Giellatekno infrastructure is still work in progress, but the extension has allready been successfully used as a continuous integration platform for developing the morphology module of the Votic Resource Grammar Library in the Grammatical Framework. In the end the article discusses four main implications of the presented approach: 1) the work on morphology is reduced to an interface similar to Wiktionary, 2) the lexical resource is put in the middle, 3) the general benefits of source code generation, 4) benefits of lemma form agnosticity inherent in the approach. Teesid Artikkel tutvustab koodigenereerimise laiendust Språkbankeni morfoloogiliste sõnaraamatute koostamissüsteemile. Laiendusel on kolm eesmärki: 1) kaasamaks kõnelejaskonda morfoloogilise sõnastiku koostamisprotsessi; 2) võimaldada arhiveeritava ja inimloetava morfoloogiakirjelduse koostamise; 3) koodigenereerimine minimeerib jõupingutused, et hoida mitut rööpset keeletehnoloogiat ajakohastena morfoloogilise sõnaraamatu uuendamise puhul. Morfoloogilise sõnaraamatu koostamissüsteem põhineb ekstraktmorfoloogial, mis eraldab automaatselt paradigmakirjelduse tüüpsõna muutvormitabelist. Sellisel viisil viiakse kasutaja vajatud keelelised ja tehnoloogilised teadmised miinimumi.