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Error Classification and Evaluation of Machine Translation Evaluation Metrics for Hindi as a Target Language
Evaluation of Machine Translation (MT) is an onerous but a critical task. Automatic evaluation metrics evaluates the adequacy and fluency of a...
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Analyzing Stylistic Variation Across Different Political Regimes
In this article we propose a stylistic analysis of texts written across two different periods, which differ not only temporally, but politically and...
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Natural-Annotation-Based Malay Multiword Expressions Extraction and Clustering
Multiword expression (MWE) is an optimal granularity of language reuse. However, no explicit boundaries between MWEs and other words causes a serious...
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A Deep Learning Approach for Multimodal Deception Detection
Automatic deception detection is an important task that has gained momentum in computational linguistics due to its potential applications. In this...
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Experiments on Deep Morphological Inflection
Morphological inflection (MI) is the task of generating a target word form based on a source word and a set of target morphological tags. We present...
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Analysis of Speeches in Indian Parliamentary Debates
With the increasing usage of internet, more and more data is being digitized including parliamentary debates but they are in an unstructured format....
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Finding Questions in Medical Forum Posts Using Sequence Labeling Approach
Complex medical question answering system in medical domain receives a question in form of long text that need to be decomposed before further...
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Semi-supervised Textual Entailment on Indonesian Wikipedia Data
Recognizing Textual Entailment (RTE) is a research in Natural Language Processing that aims to identify whether there is an entailment relation...
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Prediction of Cryptocurrency Market
In this paper, we present a set of experiments on predicting the rise or fall of a cryptocurrency using machine learning algorithms and sentiment...
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The Utility of Hierarchical Phrase-Based Model Machine Translation for Low Resource Languages
The paper uses a hierarchical phrase-based model to develop Statistical Machine Translation (SMT) Systems for four low resourced South Asian...
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Automatic Method to Build a Dictionary for Class-Based Translation Systems
Mis-translation or drop** of proper nouns reduces the quality of machine translation or speech translation output. In this paper, we propose a...
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Towards Automated Fiqh School Authorship Attribution
The word Fiqh (Islamic jurisprudence) refers to the body of Islamic law (Shari’ah). A large volume of Fiqh literature has been generated over the...
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Self-adaptive Privacy Concern Detection for User-Generated Content
To protect user privacy in data analysis, a state-of-the-art strategy is differential privacy in which scientific noise is injected into the real...
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POS, ANA and LEM: Word Embeddings Built from Annotated Corpora Perform Better (Best Paper Award, Second Place)
Word embedding models have been popular and quite efficient tools for representing lexical semantics in different languages. Nevertheless, there is...
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Argumentation in Text: Discourse Structure Matters
We address the problem of argument detection by investigating discourse and communicative text structure. A formal graph-based structure called...
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One World - Seven Thousand Languages (Best Paper Award, Third Place)
We present a large scale multilingual lexical resource, the Universal Knowledge Core (UKC), which is organized like a Wordnet with, however, a major...
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On the Influence of Machine Translation on Language Origin Obfuscation
In the last decade, machine translation has become a popular means to deal with multilingual digital content. By providing higher quality...
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Addressing the Issue of Unavailability of Parallel Corpus Incorporating Monolingual Corpus on PBSMT System for English-Manipuri Translation
This research paper work establishes an important concept of improving Phrase based Statistical Machine Translation System incorporating monolingual...
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Combining Graph-Based Dependency Features with Convolutional Neural Network for Answer Triggering
Answer triggering is the task of selecting the best-suited answer for a given question from a set of candidate answers if it exists. This paper...
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Connecting the Content of Books to the Web and the Real World
In the last decade, the interest in develo** a market of e-books has greatly increased, being preferred by many readers for their condensed volume,...