FreeLing: An Open-Source Suite of Language Analyzers

By Xavier Carreras, Isaac Chao, Lluís Padró, Muntsa Padró. International Conference on Language Resources and Evaluation, 2004

344 citations recorded by the source corpus.

Basic language processing such as tokenizing, morphological analyzers, lemmatizing, PoS tagging, chunking, etc. is a need for most NL applications such as Machine Translation, Summarization, Dialogue systems, etc. A large part of the effort required to develop such applications is devoted to the adaptation of existing software resources to the platform, programming language, format or API of the nal system. In LREC’02, we presented the object architecture that we are currently using (Carreras and Padr· o, 2002), which enables the quick and easy integration of basic language analyzers in any NLP application. Now we present a suite of analysis tools based on that architecture, which is distributed under Lesser General Public License (LGPL) (Free Software Foundation, 1999). The rst release of the suite will include morphological analyzer and Part-of-Speech tagger for English, Spanish, and Catalan.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/7af98b214e2b92d52c3043af38623b07730cb6bc

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Citations in the corpus

Apertium: a free/open-source platform for rule-based machine translation (2011, methodology): “The initial funding for Apertium came from the Spanish Ministry of Industry, Tourism and Commerce in July 2004, which funded a consortium to develop translation technology for the languages of Spain;11 thus, the first language pairs implemented were Spanish–Catalan and Spanish–Galician, which were b”
SVMTool: A general POS Tagger Generator Based on Support Vector Machines (2004, positive): “Using additional morpho-syntactic information provided by a morphological analyzer (X.Carreras et al., 2004) in the form of a backup lexicon both tools improve very considerably their performance.”