Alpage: Scientific activities

Scientific activities

Deep syntactic modeling and parsing

This topic includes, but is not limited to, development of advanced parsing technologies, development of large-coverage and high-quality adaptive linguistic resources, and use of hybrid architectures coupling shallow parsing, deep parsing, and (probabilistic and symbolic) disambiguation techniques.

Modeling and parsing supra-sentential phenomena

Although supra-sentential problematics received increasing attention in the last years, there is no satisfying solution to these problems. Among them, anaphora resolution as well as discourse and information structures have a far-reaching impact and are domains of expertise of Alpage (notably Talana) members. Their formal modeling has now reached a maturity which allows to integrate them, in a near future, inside future Alpage tools, including parsing systems inherited from Atoll. Once again, putting together the expertise of both Atoll and Talana members will allow significant breakthroughs.

NLP-based knowledge acquisition techniques

todo...

Application domains

Automatic information acquisition (both linguistic information, inside a bootstrapping scheme for linguistic resources, and document content, with a more industry-oriented perspective).
Spelling, grammatical, collocational and semantic correction (e.g., to improve text processors)
With a more long-term perspective, automatic or computer-aided translation, including language generation, which are both historical domains of expertise for Talana.