Papers Word Alignment
“Word Alignment” 태그가 달린 논문 564편 · 필터 해제
ATOGAN:Adaptive Training Objective Generative Adversarial Network for Cross-lingual Word Alignment in Non-Isomorphic Embedding Spaces
Cross-lingual word alignment is a task for word translation from monolingual word embedding spaces of two languages. Recent works are mostly based on supervised approaches, which need specific bilingual seed dictionaries…
Generative Adversarial NetworkTranslationWord AlignmentWord TranslationGraph Neural Networks for Multiparallel Word Alignment
After a period of decrease, interest in word alignments is increasing again for their usefulness in domains such as typological research, cross-lingual annotation projection and machine translation. Generally, alignment …
Community DetectionMachine TranslationWord AlignmentAn Empirical Investigation of Word Alignment Supervision for Zero-Shot Multilingual Neural Machine Translation
Zero-shot translations is a fascinating feature of Multilingual Neural Machine Translation (MNMT) systems. These MNMT models are usually trained on English-centric data, i.e. English either as the source or target langua…
Machine TranslationTranslationWord AlignmentMultilingual Sequence Labeling Approach to solve Lexical Normalization
The task of converting a nonstandard text to a standard and readable text is known as lexical normalization. Almost all the Natural Language Processing (NLP) applications require the text data in normalized form to build…
Language ModellingLexical NormalizationWord AlignmentSmall Model and In-Domain Data Are All You Need
I participated in the WMT shared news translation task and focus on one high resource language pair: English and Chinese (two directions, Chinese to English and English to Chinese). The submitted systems (ZengHuiMT) focu…
AllLanguage ModelingLanguage ModellingTranslation+1Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinement
Recent work in simultaneous machine translation is often trained with conventional full sentence translation corpora, leading to either excessive latency or necessity to anticipate as-yet-unarrived words, when dealing wi…
Machine TranslationSentenceTranslationWord AlignmentUsing Optimal Transport as Alignment Objective for fine-tuning Multilingual Contextualized Embeddings
Recent studies have proposed different methods to improve multilingual word representations in contextualized settings including techniques that align between source and target embedding spaces. For contextualized embedd…
Cross-Lingual TransferWord AlignmentPortaSpeech: Portable and High-Quality Generative Text-to-Speech
Non-autoregressive text-to-speech (NAR-TTS) models such as FastSpeech 2 and Glow-TTS can synthesize high-quality speech from the given text in parallel. After analyzing two kinds of generative NAR-TTS models (VAE and nor…
text-to-speechText to SpeechText-To-Speech SynthesisVocal Bursts Intensity Prediction+1Attention Weights in Transformer NMT Fail Aligning Words Between Sequences but Largely Explain Model Predictions
This work proposes an extensive analysis of the Transformer architecture in the Neural Machine Translation (NMT) setting. Focusing on the encoder-decoder attention mechanism, we prove that attention weights systematicall…
DecoderMachine TranslationNMTTranslation+1Mitigating Language-Dependent Ethnic Bias in BERT
BERT and other large-scale language models (LMs) contain gender and racial bias. They also exhibit other dimensions of social bias, most of which have not been studied in depth, and some of which vary depending on the la…
Word AlignmentGraph Algorithms for Multiparallel Word Alignment
With the advent of end-to-end deep learning approaches in machine translation, interest in word alignments initially decreased; however, they have again become a focus of research more recently. Alignments are useful for…
Link PredictionMachine TranslationRecommendation SystemsTranslation+1English-Arabic Cross-language Plagiarism Detection
The advancement of the web and information technology has contributed to the rapid growth of digital libraries and automatic machine translation tools which easily translate texts from one language into another. These ha…
Machine TranslationSentenceTranslationWord AlignmentA Bidirectional Transformer Based Alignment Model for Unsupervised Word Alignment
Word alignment and machine translation are two closely related tasks. Neural translation models, such as RNN-based and Transformer models, employ a target-to-source attention mechanism which can provide rough word alignm…
Machine TranslationTranslationWord AlignmentMachine Translation with Pre-specified Target-side Words Using a Semi-autoregressive Model
We introduce our TMU Japanese-to-English system, which employs a semi-autoregressive model, to tackle the WAT 2021 restricted translation task. In this task, we translate an input sentence with the constraint that some w…
Machine TranslationSentenceTranslationWord AlignmentOptimizing Word Alignments with Better Subword Tokenization
Word alignment identify translational correspondences between words in a parallel sentence pair and are used and for example and to train statistical machine translation and learn bilingual dictionaries or to perform qua…
Machine TranslationSentenceTranslationWord AlignmentChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective Feedback
We introduce ChrEnTranslate, an online machine translation demonstration system for translation between English and an endangered language Cherokee. It supports both statistical and neural translation models as well as p…
Machine TranslationNMTSentenceTranslation+1Cross-Lingual Named Entity Recognition via FastAlign: a Case Study
Named Entity Recognition is an essential task in natural language processing to detect entities and classify them into predetermined categories. An entity is a meaningful word, or phrase that refers to proper nouns. Name…
Machine Translationnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)+4Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment
The cross-lingual language models are typically pretrained with masked language modeling on multilingual text or parallel sentences. In this paper, we introduce denoising word alignment as a new cross-lingual pre-trainin…
DenoisingLanguage ModelingLanguage ModellingMasked Language Modeling+3Cross-language Sentence Selection via Data Augmentation and Rationale Training
This paper proposes an approach to cross-language sentence selection in a low-resource setting. It uses data augmentation and negative sampling techniques on noisy parallel sentence data to directly learn a cross-lingual…
Data AugmentationMachine TranslationRetrievalSentence+2NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer
Autoregressive models have been widely used in unsupervised text style transfer. Despite their success, these models still suffer from the content preservation problem that they usually ignore part of the source sentence…
SentenceStyle TransferText Style TransferUnsupervised Text Style Transfer+1