Тест жиынтықтары

This paper presents a Chinese word segmen- tation system which can adapt to different domains and standards. We first present a sta- tistical framework where domain-specific words are identified in …...

Given multiple translations of the same source sentence, how to combine them to produce a translation that is better than any single system output? We propose a hier- archical system …...

We introduce dependency relations into deci- phering foreign languages and show that de- pendency relations help improve the state-of- the-art deciphering accuracy by over 500%. We learn a translation lexicon …...

Machine translation benefits from system combination. We propose flexible interaction of hypergraphs as a novel technique combin- ing different translation models within one de- coder. We introduce features controlling the …...

We show that existing methods for training preposition error correction systems, whether using well-edited text or error-annotated cor- pora, do not generalize across very differ- ent test sets. We present …...

We show that it is possible to reliably dis- criminate whether a syntactic construction is meant literally or metaphorically using lexical semantic features of the words that participate in the …...

We present a new unsupervised mecha- nism, which ranks word n-grams accord- ing to their multiwordness. It heavily re- lies on a new uniqueness measure that computes, based on a …...

In this paper, we enhance the attention-based neural machine translation (NMT) by adding explicit coverage embedding models to alle- viate issues of repeating and dropping trans- lations in NMT. For …...

AbstractWe describe the first experimental results in neural machine translation for Basque. As a synthetic language featuring agglutinative morphology, an extended case system, complex verbal morphology and relatively free word …...

AbstractThe ability of machine translation (MT) models to correctly place markup is crucial to generating high-quality translations of formatted input. This paper compares two commonly used methods of representing markup …...

AbstractRecent advances in neural machine translation (NMT) have pushed the quality of machine translation systems to the point where they are becoming widely adopted to build competitive systems. However, there …...

AbstractIn the sixth edition of the WMT Biomedical Task, we addressed a total of eight language pairs, namely English/German, English/French, English/Spanish, English/Portuguese, English/Chinese, English/Russian, English/Italian, and English/Basque. Further, our tests …...

We present a novel model for the problem of ranking a collection of documents according to their semantic similarity to a source (query) document. While the problem of document-to- document …...

AbstractIn this paper, we describe version 2.0 of the SLäNDa corpus. SLäNDa, the Swedish Literary corpus of Narrative and Dialogue, now contains excerpts from 19 novels, written between 1809–1940. The …...