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20 years of the Grammar Matrix: cross-linguistic hypothesis testing of increasingly complex interactions

Zamaraeva Olga, Curtis Chris, Emerson Guy, Fokkens Antske, Goodman Michael Wayne, Howell Kristen, Trimble Thomas .J., Bender Emily M.

Journal of Language Modelling

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2022

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Vol. 10, No.1

49--137

EN

The Grammar Matrix project is a meta-grammar engineering framework expressed in Head-driven Phrase Structure Grammar (HPSG) and Minimal Recursion Semantics (MRS). It automates grammar implementation and is thus a tool and a resource for linguistic hypothesis testing at scale. In this paper, we summarize how the Grammar Matrix grew in the last decade and describe how new additions to the system have made it possible to study interactions between analyses, both monolingually and cross-linguistically, at new levels of complexity.

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The CoreGram Project : theoretical linguistics, theory development, and verification

Müller S.

Journal of Language Modelling

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2015

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Vol. 3, No. 1

21--86

EN

This paper describes the CoreGram project, a multilingual grammar engineering project that develops HPSG grammars for several typologically diverse languages that share a common core. The paper provides a general motivation for doing theoretical linguistics the way it is done in the CoreGram project, and is therefore not exclusively targeted at computational linguists. I argue for a constraint-based approach to language rather than a generative-enumerative one and discuss issues of formalization. Recent advantages in language acquisition research are mentioned and conclusions on how theories should be constructed are drawn. The paper discusses some of the highlights in the implemented grammars, gives a brief overview of central theoretical concepts and their implementation in the TRALE system, and compares the CoreGram project with other multilingual grammar engineering projects.

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Representing morphological tone in a computational grammar of Hausa

Crysmann B.

Journal of Language Modelling

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2015

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Vol. 3, No. 2

463--512

EN

In this paper1 I shall discuss the representation of morphological tone in Hausa, as implemented in a computational grammar of the language, referred to as HaG, which has been developed within the framework of Head-driven Phrase Structure Grammar. Based on an indepth study of segmental and suprasegmental properties manipulated by morphological processes, I shall argue that two fundamental insights from autosegmental phonology need to be seamlessly integrated into typed feature structure grammars of languages with grammatical tone, namely (i) the systematic separation of tonal and metrical information from the string of consonants and vowels, and (ii) the possibility of tonal spreading, i.e. the possibility for a tonal specification to be assigned to an arbitrary number of adjacent tone-bearing units (syllables). To this end, I present a formalisation of tonal melodies in terms of typed list constraints that implement a notion of tonal spreading, allowing for an underspecified description of tonal melodies, independent of the number of tone-bearing units. I shall finally show that this minimal encoding is sufficient, and flexible enough to capture the range of suprasegmental phenomena in Hausa.

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Language Modeling and Large Vocabulary Continuous Speech Recognition

Gajecki L., Tadeusiewicz R.

Journal of Applied Computer Science

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2009

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Vol. 17, nr 2

57-70

EN

Language modeling plays an important role in Large Vocabulary Continuous Speech Recognition (LVCSR) and has significant influence in choosing right hypothesis of word sequence. At the beginning of the paper we remind popular models used in this field as a basis for further considerations. The main scope of this paper is modeling of Polish language for LVCSR purpose. Because mostly in Slavonic languages the order of words is not so strict (and important) like for example in English, we should not put the accent on such model elements like trigram statistical model, where words’ order is taken into account. We chose application of Head–driven Phrase Structure Grammar (HPSG) and we propose automatic methods for obtaining constraints – general rules required by this grammar.