13:15 - 14:30
T116, Olof Wijksgatan 6
Liza Zimina in the MLT programme will defend her thesis "GF Japanese Resource Grammar". Opponent: Linqiqige Zhuo
This thesis describes the implementation of the open-source Japanese resource grammar as a part of the GF Resource Grammar Library (RGL). GF (Grammatical Framework) is a grammar formalism for multilingual grammars and their applications intended at performing various natural language processing tasks. The RGL is a set of natural language grammars with a shared abstract syntax and different concrete parts implemented in GF.
The Japanese resource grammar covers all the categories and rules of the GF abstract syntax, thus providing the full correlation with the resource grammars of other languages in the RGL. Due to some peculiarities of the Japanese language, the process of grammar development was complicated by a number of challenges that had not been observed before in the implementation of other GF grammars. One of the most important peculiarities is stylistic stratification in Japanese, which deeply affects its morphology and syntax. Moreover, a number of syntactic constructions predetermined in the abstract syntax are hardly possible in the natural Japanese language (e.g. some types of complex subordinate clauses). Being typologically distant from the European languages, Japanese brings up new issues in the discussion on the universal properties of languages and disputes the generality of some rules in the GF abstract syntax.
Full text (preliminary version): http://www.ling.gu.se/~lager/MLT/zimina_thesis_draft.pdf
10:15 - 12:00
L308, Lennart torstenssonsgatan 8
Statistical parsers aim to automatically discover a set of language-independent relations between elements such as a Subject, a Predicate or an Object, based on their realization patterns in the data of different languages. A Subject in English, for example, is realized in syntax using word order, while in German it is realized in morphology, using word affixes. The cross-linguistic diversity in the realization of grammatical relations has dramatic effects on parsing accuracy — existing statistical parsing models demonstrate excellent performance on English, but when trained on data from other languages they often fail to yield comparable results. A research question thus emerges, namely, what kind of models are suitable for parsing different languages?
In this talk I motivate, develop and demonstrate the application of a Relational-Realizational (RR) parsing model which is designed to cope with cross-linguistic diversity by mapping grammatical relations to morphosyntactic realization in a non-rigid, language-independent, fashion. The model is defined over a formal grammar that inter-relates function, syntax and morphology. The model parameters encode complex interactions, which, for particular languages, are estimated based on corpus statistics. I demonstrated the application of the model to parsing Hebrew and Swedish, showing significant improvement without paying any computational costs.
Reut Tsarfaty is Post-Doctoral Researcher at the Computational Linguistics lab at Uppsala University in Sweden, focusing on technologies and evaluation methods for cross-linguistic and cross-framework statistical parsing. She received her Ph.D. and MSc. from the Institute for Logic, Language and Computation (ILLC) at the University of Amsterdam, and her BSc. from the Computer Science department at the Technion. Reut is an expert in cross-linguistic processing and is interested in particular in modeling rich morphosyntactic and morphosemantic interactions. Reut is a recipient of the Dutch Science Foundation's prestigious MOSAIC award and she is now writing a book on "Parsing Morphologically Rich Languages (PMRL)" to be published by Morgan and Claypool in the summer of 2013.
9:30 - 10:30
room EE, EDIT building, Rännv 6B, Chalmers
Professor Martin Kay (Stanford U., Saarland U. and dr h.c. at Gothenburg U.) is invited speaker at the third international workshop on Free/Open-Source Rule-based Machine Translation (http://www.chalmers.se/hosted/freerbmt12-en/).
More information here: http://www.chalmers.se/cse/EN/news/calendar-events/new-machine-translation
Licentiate Seminar: Håkan Burden - Three Studies on Model Transformations - Parsing, Generation and Ease of Use
10:15 - 13:00
room EE, EDIT building, Rännv 6B, Chalmers
Håkan Burden, GSLT PhD student at CSE, will defend his licentiate thesis "Three Studies on Model Transformations - Parsing, Generation and Ease of Use".
Opponent/discussion leader: Leon Moonen, Simula Research Laboratory, Oslo, Norway
Transformations play an important part in both software development and the automatic processing of natural languages. We present three publications rooted in the multi-disciplinary research of Language Technology and Software Engineering and relate their contribution to the literature on syntactical transformations.
Parsing Linear Context-Free Rewriting Systems
Natural Language Generation from Class Diagrams
Executable and Translatable UML - How Difficult Can it Be?
15:15 - 17:00
L308, Lennart Torstenssonsgatan 8
A workshop organized by Markus Forsberg and Aarne Ranta
Ten years have gone by since we started working on BNF Converter. We like to celebrate this by inviting you to an informal event with some talks and wine. Welcome! (No registration necessary.)
15:15-15:20 Welcome (Markus Forsberg and Aarne Ranta)
To add the calendar feed to your calendar software (must support ical) use this adress: http://clt.gu.se/calendar/ical