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AbstractULTRA (Universal Language Translator) is a multi-lingua] bidirectional translation system between English, Spanish, German, Japanese and Chinese. It employs an interlingua] structure to translate among these five languages. An interlingual …...

There has recently been considerable inter- est in the use of lexically-based statistical techniques to resolve prepositional phrase attachments. To our knowledge, however, these investigations have only considered the problem …...

Boosting is a machine learning algorithm that is not well known in computational linguistics. We ap- ply it to part-of-speech tagging and prepositional phrase attachment. Performance is very encourag- ing. …...

In this paper we use various methods for multiple neural network combination in tasks of prepo- sitional phrase attachment. Experiments with aggregation functions such as unweighted and weighted average, OWA …...

Prepositional phrase attachment is common source of ambiguity in naturala language processing. We present an unsupervised corpus-based approach to prepositional phrase attachment that achieves similar performance to supervised methods. Unlike …...

We explore learning prepositional- phrase 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 …...

In this paper we describe a method of automati- cally learning domain theories from parsed cor- pora of sentences from the relevant domain and use FSA techniques for the graphical …...

Probabilistic models have been effective in re- solving prepositional phrase attachment am- biguity, but sparse data remains a significant problem. We propose a solution based on similarity-based smoothing, where the …...

AbstractThis paper investigates whether high-quality annotations for tasks involving semantic disambiguation can be obtained without a major investment in time or expense. We examine the use of untrained human volunteers …...

. This paper provides a construction grammar perspective to identifying the ambiguity of prepositional phrase (PP) attachments (i.e., whether a PP is attached to the closest VP or NP1). Despite …...

Neural machine translation (NMT) mod- els are able to partially learn syntactic in- formation from sequential lexical informa- tion. Still, some complex syntactic phe- nomena such as prepositional phrase at- …...