This paper studies the derivation of multiple nominative constructions (MNC) in Japanese. First, discussing the MNC-sentences in which there is a relation of inalienable possession between nominative noun phrases, I will argue that the set of local economy principles that choose among potentially possible steps at a single stage of a derivation contains a principle that minimizes the size of mo...

The Swiss avalanche bulletin is produced twice a day in four languages. Due to the lack of time available for manual translation, a fully automated translation system is employed, based on a catalogue of predefined phrases and predetermined rules of how these phrases can be combined to produce sentences. Because this catalogue of phrases is limited to a small sublanguage, the system is able to ...

We derive the rhetorical structures of texts by means of two new, surface-form-based algorithms: one that identifies discourse usages of cue phrases and breaks sentences into clauses, and one that produces valid rhetorical structure trees for unrestricted natural language texts. The algorithms use information that was derived from a corpus analysis of cue phrases.

Discovering parallel data in comparable corpora is a promising approach for overcoming the lack of parallel texts in statistical machine translation and other NLP applications. In this paper we propose an alternative to comparable corpora of texts as resources for extracting parallel data: a multimodal comparable corpus of audio and texts. We present a novel method to detect parallel phrases fr...

An implementation of a non-structural Example-Based Machine Translation system that translates sentences from Arabic to English, using a parallel corpus aligned at the paragraph level, is described. Each new input sentence is fragmented into phrases and those phrases are matched to example patterns, using various levels of morphological data. The system has been implemented and automatically ev...

Distributional semantics has been extended to phrases and sentences by means of composition operations. We look at how these operations affect similarity measurements, showing that similarity equations of an important class of composition methods can be decomposed into operations performed on the subparts of the input phrases. This establishes a strong link between these models and convolution ...

Distributional models that learn rich semantic word representations are a success story of recent NLP research. However, developing models that learn useful representations of phrases and sentences has proved far harder. We propose using the definitions found in everyday dictionaries as a means of bridging this gap between lexical and phrasal semantics. Neural language embedding models can be e...

Identifying domain-dependent opinion words is a key problem in opinion mining and has been studied by several researchers. However, existing work has been focused on adjectives and to some extent verbs. Limited work has been done on nouns and noun phrases. In our work, we used the feature-based opinion mining model, and we found that in some domains nouns and noun phrases that indicate product ...

This paper presents and evaluates a phonological phrase parser for a Spanish text-to-speech system. The parser consists of three stages: 1) lexical lookup, using a small dictionary (428 words); 2) preliminary phrase boundary placement, using a modification of Liberman and Church’s (1992) function group parser; and 3) readjustment of phrase boundaries, using syllable count and punctuation. A cor...

Sentences and phrases that represent a certain meaning often exhibit patterns of variation where they differ from a basic structural form by one or two words. We present an algorithm that utilizes multiple sequence alignments (MSAs) to generate a representation of groups of phrases that possess the same semantic meaning but also share in common the same basic word sequence structure. The MSA en...