Моноязычный корпус

We describe a method for generating sentences from “keywords” or “headwords”. This method consists of two main parts, candidate-text con- struction and evaluation. The construction part generates text sentences in …...

Automatically acquiring synonymous col- location pairs such as <turn on, OBJ, light> and <switch on, OBJ, light> from corpora is a challenging task. For this task, we can, in general, …...

This article studies different aspects of a new approach for word sense disambiguation using statistical information gains from a target language monolingual corpus. Here, the source language is English and …...

AbstractIn this paper we describe a set of processes for the acquisition of re­sources for quick ramp­up machine translation (MT) from any language lacking significant machine tracta­ble resources into English, …...

Paraphrases have proved to be useful in many applications, including Machine Translation, Question Answering, Summarization, and In- formation Retrieval. Paraphrase acquisition methods that use a single monolingual corpus often produce …...

This paper explores a new approach to help non-expert users with no background in linguistics to add new words to a mono- lingual dictionary in a rule-based machine translation system. …...

In this paper, we propose a method for translating a given verb-noun collocation based on a parallel corpus and an additional monolingual corpus. Our approach involves two models to generate …...

Translation memories (TM) are widely used in the localization industry to im- prove consistency and speed of human translation. Several approaches have been presented to integrate the bilingual trans- lation …...

Translated texts (in any language) are so markedly different from original ones that text classification techniques can be used to tease them apart. Previous work has shown that awareness to …...

Automatically generating a natural lan- guage description of an image is a fun- damental problem in artificial intelligence. This task involves both computer vision and natural language processing and is …...

AbstractNon-Negative Randomized Word Embedding We propose a word embedding method which is based on a novel random projection technique. We show that weighting methods such as positive pointwise mutual information …...

AbstractParaphrasing is an important task demonstrating the ability to abstract semantic content from its surface form. Recent literature on automatic paraphrasing is dominated by methods leveraging machine translation as an …...

AbstractThis paper proposes a new pre-training method, called Code-Switching Pre-training (CSP for short) for Neural Machine Translation (NMT). Unlike traditional pre-training method which randomly masks some fragments of the input …...

AbstractExposure bias and poor translation diversity are two common problems in neural machine trans-lation (NMT) which are caused by the general of the teacher forcing strategy for training inthe NMT …...

AbstractIn this paper, we propose a new paradigm for paraphrase generation by treating the task as unsupervised machine translation (UMT) based on the assumption that there must be pairs of …...