Miriam Butt


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Is that really a question? Going beyond factoid questions in NLPNLP
Aikaterini-Lida Kalouli | Rebecca Kehlbeck | Rita Sevastjanova | Oliver Deussen | Daniel Keim | Miriam Butt
Proceedings of the 14th International Conference on Computational Semantics (IWCS)

Research in NLP has mainly focused on factoid questions, with the goal of finding quick and reliable ways of matching a query to an answer. However, human discourse involves more than that : it contains non-canonical questions deployed to achieve specific communicative goals. In this paper, we investigate this under-studied aspect of NLP by introducing a targeted task, creating an appropriate corpus for the task and providing baseline models of diverse nature. With this, we are also able to generate useful insights on the task and open the way for future research in this direction.


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Complex Predicates and Multidimensionality in Grammar
Miriam Butt
Linguistic Issues in Language Technology, Volume 17, 2019

This paper contributes to the on-going discussion of how best to analyze and handle complex predicate formations, commenting in particular on the properties of Hindi N-V complex predicates as set out by Vaidya et al. I highlight features of existing LFG analyses and focus in particular on the modular architecture of LFG, its attendant multidimensional lexicon and the analytic consequences which follow from this. I point out where the previously existing LFG proposals have been misunderstood as viewed from the lens of theories such as LTAG and HPSG, which assume a very different architectural set-up and provide a comparative discussion of the issues.

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Using Meta-Morph Rules to develop Morphological Analysers : A case study concerning TamilTamil
Kengatharaiyer Sarveswaran | Gihan Dias | Miriam Butt
Proceedings of the 14th International Conference on Finite-State Methods and Natural Language Processing

This paper describes a new and larger coverage Finite-State Morphological Analyser (FSM) and Generator for the Dravidian language Tamil. The FSM has been developed in the context of computational grammar engineering, adhering to the standards of the ParGram effort. Tamil is a morphologically rich language and the interaction between linguistic analysis and formal implementation is complex, resulting in a challenging task. In order to allow the development of the FSM to focus more on the linguistic analysis and less on the formal details, we have developed a system of meta-morph(ology) rules along with a script which translates these rules into FSM processable representations. The introduction of meta-morph rules makes it possible for computationally naive linguists to interact with the system and to expand it in future work. We found that the meta-morph rules help to express linguistic generalisations and reduce the manual effort of writing lexical classes for morphological analysis. Our Tamil FSM currently handles mainly the inflectional morphology of 3,300 verb roots and their 260 forms. Further, it also has a lexicon of approximately 100,000 nouns along with a guesser to handle out-of-vocabulary items. Although the Tamil FSM was primarily developed to be part of a computational grammar, it can also be used as a web or stand-alone application for other NLP tasks, as per general ParGram practice.

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ParHistVis : Visualization of Parallel Multilingual Historical DataParHistVis: Visualization of Parallel Multilingual Historical Data
Aikaterini-Lida Kalouli | Rebecca Kehlbeck | Rita Sevastjanova | Katharina Kaiser | Georg A. Kaiser | Miriam Butt
Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change

The study of language change through parallel corpora can be advantageous for the analysis of complex interactions between time, text domain and language. Often, those advantages can not be fully exploited due to the sparse but high-dimensional nature of such historical data. To tackle this challenge, we introduce ParHistVis : a novel, free, easy-to-use, interactive visualization tool for parallel, multilingual, diachronic and synchronic linguistic data. We illustrate the suitability of the components of the tool based on a use case of word order change in Romance wh-interrogatives.

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lingvis.io-A Linguistic Visual Analytics Framework
Mennatallah El-Assady | Wolfgang Jentner | Fabian Sperrle | Rita Sevastjanova | Annette Hautli-Janisz | Miriam Butt | Daniel Keim
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations

We present a modular framework for the rapid-prototyping of linguistic, web-based, visual analytics applications. Our framework gives developers access to a rich set of machine learning and natural language processing steps, through encapsulating them into micro-services and combining them into a computational pipeline. This processing pipeline is auto-configured based on the requirements of the visualization front-end, making the linguistic processing and visualization design, detached independent development tasks. This paper describes the constellation and modality of our framework, which continues to support the efficient development of various human-in-the-loop, linguistic visual analytics research techniques and applications.