نتایج جستجو برای: the generative lexicon

تعداد نتایج: 16055449  

2010
Shan Wang Chu-Ren Huang

This paper studies the adjectival modification to nouns in Mandarin Chinese based on selective binding. The main findings include: (1)An adjective can select different types of head nouns as arguments and an adjective may modify an individual or an event. (2)The qualia structure of a noun helps us better understand an adjective’s selectional preference. Meanwhile, an adjective can modify multi-...

Journal: :Journal of Chinese Language and Computing 2007
Guangjun Yang Qilin Tian

Existential constructions play an important role in the development of Generative Grammar. Their special natures urge linguists to pay painstaking effort to give them a unified account. At first we have a brief review of the relevant study of these constructions and examine their strong points and weakness. On the basis of their study, we assume that in existential constructions of SVO language...

Journal: :CoRR 2017
Pramod Pandey Somnath Roy

Voice browser applications in Text-toSpeech (TTS) and Automatic Speech Recognition (ASR) systems crucially depend on a pronunciation lexicon. The present paper describes the model of pronunciation lexicon of Hindi developed to automatically generate the output forms of Hindi at two levels, the and the (PS, in short for Prosodic Structure). The latter level involves both syllable-...

2017
Abhilasha Ravichander Thomas Manzini Matthias Grabmair Graham Neubig Jonathan Francis Eric Nyberg

Building dialogue interfaces for realworld scenarios often entails training semantic parsers starting from zero examples. How can we build datasets that better capture the variety of ways users might phrase their queries, and what queries are actually realistic? Wang et al. (2015) proposed a method to build semantic parsing datasets by generating canonical utterances using a grammar and having ...

2014
Nicholas Berente Stefan Seidel

It has been argued that the unprecedented availability of trace data may revolutionize the social sciences. Still, methodological knowledge is scarce as to how this abundance of data can be used to develop novel and important theory. In this essay, we inquire into how the lessons learned from Grounded Theory Method (GTM) can be used to build theory from big data. To do so, we review GTM in ligh...

1969
Frances Kartunnen

In an early model of generative phonology the lexicon of a language contained entries with as few feature specifications as possible in the interest of economy. The blank feature specifications representing both nondistinctive features and those rendered redundant by sequential constraints were filled in by the same 9honological rules. At this point, the concept of ~ rules changing feature valu...

2016
Swaran Lata Swati Arora Simerjeet Kaur

Punjabi is a tonal language and belongs to Indo-Aryan family of languages. Punjabi literature reveals that the suprasegmental phonemes such as Tone, Nasalization and stress are realized at the syllable level. There is abundance of geminated words in which stress Co-occurs on the geminated consonant. The disyllabic words have highest frequency of occurrence. There are very few quadrisyllabic/pol...

2016
James Pustejovsky Nikhil Krishnaswamy

Background In this note, we present results from a new approach to modeling the semantics of natural language, Multimodal Semantic Simulations (MSS), being pursued by the first author and his students. This approach assumes both a richer formal model of events and their participants, as well as a modeling language for constructing 3D visualizations of objects and events denoted by natural langu...

بایسته تاشک, الهام , احمدی فرد, علیرضا, خسروی, حسین ,

This paper presented a two step method for offline handwritten Farsi word recognition. In first step, in order to improve the recognition accuracy and speed, an algorithm proposed for initial eliminating lexicon entries unlikely to match the input image. For lexicon reduction, the words of lexicon are clustered using ISOCLUS and Hierarchal clustering algorithm. Clustering is based on the featur...

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