A weakly-supervised method is applied to anonymized queries to extract lexical interpretations of compound noun phrases (e.g., “fortune 500 companies”). The interpretations explain the subsuming role (“listed in”) that modifiers (fortune 500) play relative to heads (companies) within the noun phrases. Experimental results over evaluation sets of noun phrases from multiple sources demonstrate th...

We present in this paper recent progress in Sanskrit computational linguistics. We propose a solution to the tagging of verb phrases which correctly handles the non-associativity of external sandhi arising from the treatment of preverb ā. This involves a notion of phantom phoneme. We give exemples of execution of a computer tagger designed accordingly, which handles verb phrases as well as noun...

This work is a study of the delimitation of complex prepositions (CP) as lexical units, items of a computational lexicon that includes compounds and phrases. In addition, given the utmost importance of spotting noun phrases (NP) in document retrieval systems, parsing prepositional structures such as “Prep1 N Prep2 X” prevents the fragment “N Prep2 X” from being detected as a noun phrase, i.e. t...

This paper proposes a new error-driven HMMbased text chunk tagger with context-dependent lexicon. Compared with standard HMM-based tagger, this tagger uses a new Hidden Markov Modelling approach which incorporates more contextual information into a lexical entry. Moreover, an error-driven learning approach is adopted to decrease the memory requirement by keeping only positive lexical entries an...

PURPOSE One feature of literate language, noun phrase elaboration, was examined in the oral fictional narratives of school-aged children. METHOD Two narratives were elicited from 5-, 8- and 11-year-old children, 1 in response to a picture sequence and 1 in response to a single picture. Noun phrases were categorized into 4 types. RESULTS Simple designating noun phrases were produced by all c...

We explore learning prepositionalphrase attachment in Dutch, to use it as a filter in prosodic phrasing. From a syntactic treebank of spoken Dutch we extract instances of the attachment of prepositional phrases to either a governing verb or noun. Using cross-validated parameter and feature selection, we train two learning algorithms, TB I and RIPPER, 011 making this distinction, based on unigra...

The most important problems of dependency analysis are separated into three kinds of dependencies: noun to verb dependency, verb to verb dependency and noun to noun dependency. Recently, efficient methods have been developed for the first two problems. However, the third problem, namely noun phrase analysis, has not yet been solved. One of the most typical and important noun phrases in the Japa...

Prepositional Phrase is the key issue in structural ambiguity. Recently, researches in corpora provide the lexical cue of prepositions with other words and the information could be used to partly resolve ambiguity resulted from prepositional phrases. Two possible attachments are considered in the literature: either noun attachment or verb attachment. In this paper, we consider the problem from ...

In addressing a verb bias in syntactic analysis we present the beginnings of a noun-driven analysis paradigm. Such a paradigm may complement and compensate for some weaknesses in the existing verb-driven paradigm (in which the noun is subordinated) as applied to information sources or contexts in which the data is structured in objects and more than in events. The Current Paradigm In analysis o...