Phrase

About: Phrase is a research topic. Over the lifetime, 12580 publications have been published within this topic receiving 317823 citations. The topic is also known as: syntagma & phrases.

Forest Rescoring: Faster Decoding with Integrated Language Models

Abstract: Efficient decoding has been a fundamental problem in machine translation, especially with an integrated language model which is essential for achieving good translation quality. We develop faster approaches for this problem based on k-best parsing algorithms and demonstrate their effectiveness on both phrase-based and syntax-based MT systems. In both cases, our methods achieve significant speed improvements, often by more than a factor of ten, over the conventional beam-search method at the same levels of search error and translation accuracy.

Lexicon Infused Phrase Embeddings for Named Entity Resolution

Abstract: Most state-of-the-art approaches for named-entity recognition (NER) use semi supervised information in the form of word clusters and lexicons. Recently neural network-based language models have been explored, as they as a byproduct generate highly informative vector representations for words, known as word embeddings. In this paper we present two contributions: a new form of learning word embeddings that can leverage information from relevant lexicons to improve the representations, and the first system to use neural word embeddings to achieve state-of-the-art results on named-entity recognition in both CoNLL and Ontonotes NER. Our system achieves an F1 score of 90.90 on the test set for CoNLL 2003—significantly better than any previous system trained on public data, and matching a system employing massive private industrial query-log data.

Word Sense Disambiguation Improves Statistical Machine Translation

Abstract: Recent research presents conflicting evidence on whether word sense disambiguation (WSD) systems can help to improve the performance of statistical machine translation (MT) systems. In this paper, we successfully integrate a state-of-the-art WSD system into a state-of-the-art hierarchical phrase-based MT system, Hiero. We show for the first time that integrating a WSD system improves the performance of a state-ofthe-art statistical MT system on an actual translation task. Furthermore, the improvement is statistically significant.

Realizations of accentual phrase in French intonation

Abstract: In this paper we provide a detailed account of the various realizations of the accentual phrase in our phonological model of French intonation (Jun & Fougeron 1995, 2000), and introduce a slight revision in tone-syllable association. In addition to the default and unmarked phrases, we examine the intonational contour of long polymorphemic words and utterances containing a sequence of several clitics. We discuss the status of additional H tones found in the marked phrases and the constraints on the distribution of these H tones.