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Toward a Broad-coverage Bilingual Corpus for Speech Translation of Travel Conversations in the Real World
TLDR
We are building a broad-coverage bilingual corpus to study corpus-based speech translation technologies for the real world. Expand
ASPEC: Asian Scientific Paper Excerpt Corpus
TLDR
We describe the details of the ASPEC (Asian Scientific Paper Excerpt Corpus), which is the first large-size parallel corpus of scientific paper domain. Expand
Overview of the Patent Machine Translation Task at the NTCIR-10 Workshop
TLDR
This paper gives an overview of the Patent Machine Translation Task (PatentMT) at NTCIR-9 by describing the test collection, evaluation methods, and evaluation results. Expand
Creating corpora for speech-to-speech translation
TLDR
This paper presents three approaches to creating corpora that we are working on for speech-to-speech translation in the travel conversation task. Expand
Sentence Embedding for Neural Machine Translation Domain Adaptation
TLDR
In this paper, we exploit the NMT’s internal embedding of the source sentence and use the sentence embedding similarity to select the sentences which are close to in-domain data. Expand
Guiding Neural Machine Translation with Retrieved Translation Pieces
TLDR
We propose a simple, fast, and effective method for recalling previously seen translation examples and incorporating them into the NMT decoding process with respect to accuracy, speed, and simplicity of implementation. Expand
Measuring Non-native Speakers’ Proficiency of English by Using a Test with Automatically-Generated Fill-in-the-Blank Questions
TLDR
This paper proposes the automatic generation of Fill-in-the-Blank Questions (FBQs) together with testing based on Item Response Theory (IRT) to measure English proficiency. Expand
Experiments and Prospects of Example-Based Machine Translation
TLDR
EBMT (Example-Based Machine Translation) retrieves similar examples (pairs of source phrases, sentences, or texts and their translations) from a database of examples, adapting the examples to translate a new input. Expand
Neural Machine Translation with Supervised Attention
TLDR
The attention mechanisim is appealing for neural machine translation, since it is able to dynam- ically encode a source sentence by generating a alignment between a target word and source words. Expand
An Unsupervised Model for Joint Phrase Alignment and Extraction
TLDR
We present an unsupervised model for joint phrase alignment and extraction using non-parametric Bayesian methods and inversion transduction grammars (ITGs). Expand
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