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Found 37 papers, 11 papers with code
ISO 24617-2: A semantically-based standard for dialogue annotation
This paper summarizes the latest, final version of ISO standard 24617-2 ``Semantic annotation framework, Part 2: Dialogue acts''''''''.
Discourse-level Annotation over Europarl for Machine Translation: Connectives and Pronouns
This paper describes methods and results for the annotation of two discourse-level phenomena, connectives and pronouns, over a multilingual parallel corpus.
English-French Verb Phrase Alignment in Europarl for Tense Translation Modeling
This paper presents a method for verb phrase (VP) alignment in an English-French parallel corpus and its use for improving statistical machine translation (SMT) of verb tenses.
Using the TED Talks to Evaluate Spoken Post-editing of Machine Translation
This paper presents a solution to evaluate spoken post-editing of imperfect machine translation output by a human translator.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Explicit Document Modeling through Weighted Multiple-Instance Learning
Representing documents is a crucial component in many NLP tasks, for instance predicting aspect ratings in reviews.
The SUMMA Platform Prototype
We present the first prototype of the SUMMA Platform: an integrated platform for multilingual media monitoring.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
Using Coreference Links to Improve Spanish-to-English Machine Translation
In this paper, we present a proof-of-concept implementation of a coreference-aware decoder for document-level machine translation.
Coreference Resolution
Document Level Machine Translation
+3
Machine Translation of Spanish Personal and Possessive Pronouns Using Anaphora Probabilities
We implement a fully probabilistic model to combine the hypotheses of a Spanish anaphora resolution system with those of a Spanish-English machine translation system.
Consistent Translation of Repeated Nouns using Syntactic and Semantic Cues
We compare the automatic post-editing of noun translations with the re-ranking of the translation hypotheses based on the classifiers{'} output, and also use these methods in combination.
Multilingual Hierarchical Attention Networks for Document Classification
Hierarchical attention networks have recently achieved remarkable performance for document classification in a given language.
Validation of an Automatic Metric for the Accuracy of Pronoun Translation (APT)
In this paper, we define and assess a reference-based metric to evaluate the accuracy of pronoun translation (APT).
Self-Attentive Residual Decoder for Neural Machine Translation
Neural sequence-to-sequence networks with attention have achieved remarkable performance for machine translation.
Machine Translation of Low-Resource Spoken Dialects: Strategies for Normalizing Swiss German
The goal of this work is to design a machine translation (MT) system for a low-resource family of dialects, collectively known as Swiss German, which are widely spoken in Switzerland but seldom written.
Integrating Weakly Supervised Word Sense Disambiguation into Neural Machine Translation
We show that the concatenation of these vectors, and the use of a sense selection mechanism based on the weighted average of sense vectors, outperforms several baselines including sense-aware ones.
Context in Neural Machine Translation: A Review of Models and Evaluations
This review paper discusses how context has been used in neural machine translation (NMT) in the past two years (2017-2018).
Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction
We describe the design, the evaluation setup, and the results of the 2016 WMT shared task on cross-lingual pronoun prediction.
Chat or Learn: a Data-Driven Robust Question-Answering System
We present our choices of data sets for training and testing the components, and present the experimental results that helped us optimize the parameters of the chatbot.
A Consolidated Dataset for Knowledge-based Question Generation using Predicate Mapping of Linked Data
The new data set can be used to generate novel questions given an unseen Wikidata triple, by replacing the subjects of existing questions with the new one and then selecting the best candidate questions using semantic and syntactic criteria.
Subword Mapping and Anchoring across Languages
State-of-the-art multilingual systems rely on shared vocabularies that sufficiently cover all considered languages.
Cross-Lingual Natural Language Inference
Machine Translation
+1
Small Batch Sizes Improve Training of Low-Resource Neural MT
We study the role of an essential hyper-parameter that governs the training of Transformers for neural machine translation in a low-resource setting: the batch size.
Assessing the Importance of Frequency versus Compositionality for Subword-based Tokenization in NMT
Subword tokenization is the de facto standard for tokenization in neural language models and machine translation systems.
Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation
We demonstrate that our approach generates novel translations in over half of the cases and consistently outperforms other methods across varying numbers of candidates (5-200).
On the Interaction of Regularization Factors in Low-resource Neural Machine Translation
We explore the roles and interactions of the hyper-parameters governing regularization, and propose a range of values applicable to low-resource neural machine translation.
Constrained Language Models for Interactive Poem Generation
This paper describes a system for interactive poem generation, which combines neural language models (LMs) for poem generation with explicit constraints that can be set by users on form, topic, emotion, and rhyming scheme.
The IICT-Yverdon System for the WMT 2021 Unsupervised MT and Very Low Resource Supervised MT Task
We then present the application of this system to the 2021 task for low-resource supervised Upper Sorbian (HSB) to German translation, in both directions.
