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Current investigations in data-driven models of parsing have shifted from purely syntactic analysis to richer semantic representations, showing that the successful recovery of the meaning of text requ...
This paper presents an attempt at building a large scale distributed composite language model that is formed by seamlessly integrating an n-gram model, a structured language model, and probabilistic l...
We present a general framework for semantic role labeling. The framework combines a machine-learning technique with an integer linear programming-based inference procedure, which incorporates linguist...
Minimum-error-rate training (MERT) is a bottleneck for current development in statistical machine translation because it is limited in the number of weights it can reliably optimize. Building on the w...
This article describes an unsupervised strategy to acquire syntactico-semantic requirements of nouns, verbs, and adjectives from partially parsed text corpora. The linguistic notion of requirement u...
In statistical machine translation, correspondences between the words in the source and the target language are learned from parallel corpora, and often little or no linguistic knowledge is used to ...
Proper nouns form an open class, making the incompleteness of manually or automatically learned classification rules an obvious problem. The purpose of this paper is twofold: first, to suggest the use...
The Syntactic Process     Syntactic Process       2015/8/26
The main asset of categorial grammar has traditionally been the close association between syntactic description on the one hand and a transparent and well-founded semantics on the other. Consequently,...
Syntactic Wordclass Tagging     Syntactic  Wordclass Tagging       2015/8/25
Part-of-speech (POS) tagging is one of the most popular and thoroughly researched tasks in the field of natural language processing, particularly since it is a prerequisite for a wide variety of more ...
pear to be a sufficient choice. While no clear answer to this dilemma presents itself here, several of the chapters in this volume do address this issue directly. Rogers shows that dropping th...
Network and graph model is a good alternative to analyze huge collective textual data for the ability to reduce the dimensionality of the data. Texts can be seen as syntactic and semantic network amon...
The current study examined differential effects of two pre-modification types, syntactic elaboration and syntactic simplification (at the level of syntax and irrespective of problematic lexis), on ES...
The purpose of this study was two-fold: it primarily intended to incorporate some insights into the newly-explored field of L3A: secondly, it aimed to highlight the significance of translation as a va...
This paper examines the syntactic influences of the Singapore students' mother tongues on the students' learning of English in the classroom. Singlish arises due to the influences of the students' mot...

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