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Aarne Ranta

6 paper cards in Mova's library · 2010–2021

Aarne Ranta wrote 6 of the papers Mova reads, in 2010–2021, most of them on Machine translation, Word sense disambiguation, Treebanks; often with Krasimir Angelov, Prasanth Kolachina, Thomas Hallgren.

OpenAlex · ORCID · h-index 23 · 2767 citations · 225 works — openalex, 2026-10-18

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology · ORCID

Topics: Machine translation 6 · Word sense disambiguation 1 · Treebanks 1

Papers

  1. Grammar-Based Concept Alignment for Domain-Specific Machine Translation (2021)
    The paper proposes concept alignment (CA) from parallel sentences in a grammar-based way, to build the translation lexicon of a domain-specific GF system.
  2. Abstract Syntax as Interlingua: Scaling Up the Grammatical Framework from Controlled Languages to Robust Pipelines (2020)
    A survey of Grammatical Framework (GF) as an interlingua: one shared abstract syntax, with a concrete grammar per language, over forty languages in the resource library.
  3. Grammatical Framework: an Interlingual Grammar Formalism (2019)
    A two-page tutorial outline for Grammatical Framework (GF), a grammar formalism started in 1998 for interlingual translation.
  4. International translation in the Grammatical Framework (GF) (2016)
    A short demo announcement for the Grammatical Framework (GF), an open-source formalism for multilingual grammars that share one abstract syntax, which serves as an interlingua.
  5. Developing an interlingual translation lexicon using WordNets and Grammatical Framework (2014)
    Grammatical Framework (GF) translates through an abstract syntax, and its usual lexicons give one target word per source word.
  6. Tools for Multilingual Grammar-Based Translation on the Web (2010)
    A system demonstration of tools for restricted-language translation on the web, built on GF. The authors argue that precision-oriented translation fits producers of content, whose input is predictable and limited to their own domain, and they name two problems that block it: the cost of building a translator for each…

Co-authors (9)

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