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Chapter and Conference Paper
Evaluating Terminology Translation in MT
Terminology translation plays a crucial role in domain-specific machine translation (MT). Preservation of domain knowledge from source to target is arguably the most concerning factor for clients in translatio...
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Chapter and Conference Paper
A Machine and Deep Learning Framework to Retain Customers Based on Their Lifetime Value
Customer Lifetime Value (CLV) measures the average revenue generated by a customer over the course of their association with the firm. The Recency Frequency Monetary (RFM) Model is used to calculate the CLV. R...
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Chapter and Conference Paper
Identifying Fake News in Brazilian Portuguese
Spread of fake news and disinformation may have many profound consequences, e.g. social conflicts, distrust in media, political instability. Fake news identification is an well-established area of natural lang...
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Article
Augmenting training data with syntactic phrasal-segments in low-resource neural machine translation
Neural machine translation (NMT) has emerged as a preferred alternative to the previous mainstream statistical machine translation (SMT) approaches largely due to its ability to produce better translations. Th...
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Article
Recent advances of low-resource neural machine translation
In recent years, neural network-based machine translation (MT) approaches have steadily superseded the statistical MT (SMT) methods, and represents the current state-of-the-art in MT research. Neural MT (NMT) ...
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Article
Open AccessPhilipp Koehn: Neural Machine Translation
Neural machine translation (NMT) is an approach to machine translation (MT) that uses deep learning techniques, a broad area of machine learning based on deep artificial neural networks (NNs). The book Neural Mac...
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Article
Analysing terminology translation errors in statistical and neural machine translation
Terminology translation plays a critical role in domain-specific machine translation (MT). Phrase-based statistical MT (PB-SMT) has been the dominant approach to MT for the past 30 years, both in academia and ...
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Chapter and Conference Paper
Investigating Query Expansion and Coreference Resolution in Question Answering on BERT
The Bidirectional Encoder Representations from Transformers (BERT) model produces state-of-the-art results in many question answering (QA) datasets, including the Stanford Question Answering Dataset (SQuAD). T...
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Article
Ruslan Mitkov, Johanna Monti, Gloria Corpas Pastor, and Violeta Seretan (eds): Multiword units in machine translation and translation technology
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Article
TermFinder: log-likelihood comparison and phrase-based statistical machine translation models for bilingual terminology extraction
Bilingual termbanks are important for many natural language processing applications, especially in translation workflows in industrial settings. In this paper, we apply a log-likelihood comparison method to ex...
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Article
Integrating source-language context into phrase-based statistical machine translation
The translation features typically used in Phrase-Based Statistical Machine Translation (PB-SMT) model dependencies between the source and target phrases, but not among the phrases in the source language thems...
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Chapter and Conference Paper
Bengali, Hindi and Telugu to English Ad-Hoc Bilingual Task at CLEF 2007
This paper presents the experiments carried out at Jadavpur University as part of the participation in the CLEF 2007 ad-hoc bilingual task. This is our first participation in the CLEF evaluation task and we ha...
