Complex Aspectual Structure in Hindi/Urdu

Butt, Miriam; Ramchand, Gillian

doi:10.1093/acprof:oso/9780199280445.003.0006

Cited by 122 publications

(43 citation statements)

References 8 publications

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“…In this regard, a reviewer suggests that it may prove beneficial to introduce a more complex event structure representation into the semantics, e.g. as proposed by Butt and Ramchand (2005).…”

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confidence: 99%

Complex predicates: an LFG+glue analysis

Lowe

2016

JLM

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In this paper I discuss weaknesses in the traditional LFG account of complex predicates and in the XLE implementation of the same. I argue that the concept of predicate composition in general, and the mechanisms required to achieve it, are problematic, but that the most problematic element is the concept of argument fusion. I show that a semantically-integrated account of complex predicate formation is possible within LFG+glue, an account which provides a simple and effective formalization of argument fusion, and which does not suffer from the weaknesses of traditional approaches.

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confidence: 99%

Complex predicates: an LFG+glue analysis

Lowe

2016

JLM

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“…All tags represents different morphological forms and the function of a verb that it governs. A few high quality studies were adopted to identify different forms and functions of Urdu verbs (Butt, 2003;Butt, 1995;Butt and Rizvi, 2010;Butt and Ramchand, 2001;Butt, 2010;Abbas and Raza, 2014;Abbas and Nabi Khan, 2009) and some annotated sentences from the URDU.KON-TB treebank are given in example 2 of Appendix.…”

Section: Semi-semantic Pos (Ssp) Annotationmentioning

confidence: 99%

Semi-Semantic Part of Speech Annotation and Evaluation

Abbas

2014

Proceedings of LAW VIII - The 8th Linguistic Annotation Workshop

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This paper presents the semi-semantic part of speech annotation and its evaluation via Krippendorff's α for the URDU.KON-TB treebank developed for the South Asian language Urdu. The part of speech annotation with the additional subcategories of morphology and semantics provides a treebank with sufficient encoded information. The corpus used is collected from the Urdu Wikipedia and news papers. The sentences were annotated manually to ensure a high annotational quality. The inter-annotator agreement obtained after evaluation is 0.964, which lies in the range of perfect agreement on a scale. Urdu is comparatively an under-resourced language and the development of the treebank with rich part of speech annotation will have significant impact on the state-of-the-art for Urdu language processing.

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“…At the end, as mentioned in Section I that the linguistic information like the Urdu POS [25], morphological information [8,9,10], Urdu Ezafe [7], verb morphological forms [2,24], etc., can improve the prediction results. The enrichment of linguistic information is possible in the extended PST version of the QASKU model because the resources needed are in pipeline.…”

Section: Future Workmentioning

confidence: 99%

A Stochastic Prediction Interface for Urdu

Abbas

2014

IJISA

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Abstract-This work lays down a foundation for text prediction of an inflected and under-resourced language Urdu. The interface developed is not limited to a T9 (Text on 9 keys) application used in embedded devices, which can only predict a word after typing initial characters. It is capable of predicting a word like T9 and also a sequence of word after a word in a continuous manner for fast document typing. It is based on Ngram language model. This stochastic interface deals with three N-gram levels from unary to ternary independently. The unigram mode is being in use for applications like T9, while the bigram and tri-gram modes are being in use for sentence prediction. The measures include a percentage of keystrokes saved, keystrokes until completion and a percentage of time saved during the typing. Two different corpora are merged to build a sufficient amount of data. The test data is divided into a test and a held out data equally for an experimental purpose. This whole exercise enables the QASKU system outperforms the FastType with almost 15% more saved keystrokes.

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Complex Aspectual Structure in Hindi/Urdu

Cited by 122 publications

References 8 publications

Complex predicates: an LFG+glue analysis

Complex predicates: an LFG+glue analysis

Semi-Semantic Part of Speech Annotation and Evaluation

A Stochastic Prediction Interface for Urdu

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