Papers Word Alignment
“Word Alignment” 태그가 달린 논문 564편 · 필터 해제
Tilde's Parallel Corpus Filtering Methods for WMT 2018
The paper describes parallel corpus filtering methods that allow reducing noise of noisy {``}parallel{''} corpora from a level where the corpora are not usable for neural machine translation training (i.e., the resulting…
Machine TranslationTranslationTransliterationWord AlignmentUnsupervised Cross-lingual Word Embedding by Multilingual Neural Language Models
We propose an unsupervised method to obtain cross-lingual embeddings without any parallel data or pre-trained word embeddings. The proposed model, which we call multilingual neural language models, takes sentences of mul…
Cross-Lingual Word EmbeddingsSentenceWord AlignmentWord EmbeddingsLRS3-TED: a large-scale dataset for visual speech recognition
This paper introduces a new multi-modal dataset for visual and audio-visual speech recognition. It includes face tracks from over 400 hours of TED and TEDx videos, along with the corresponding subtitles and word alignmen…
Audio-Visual Speech Recognitionspeech-recognitionSpeech RecognitionVisual Speech Recognition+1Feature-Based Decipherment for Machine Translation
Orthographic similarities across languages provide a strong signal for unsupervised probabilistic transduction (decipherment) for closely related language pairs. The existing decipherment models, however, are not well su…
DeciphermentMachine TranslationTranslationWord AlignmentAn Operation Sequence Model for Explainable Neural Machine Translation
We propose to achieve explainable neural machine translation (NMT) by changing the output representation to explain itself. We present a novel approach to NMT which generates the target sentence by monotonically walking …
Machine TranslationNMTSentenceTranslation+1Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment
Network embeddings, which learn low-dimensional representations for each vertex in a large-scale network, have received considerable attention in recent years. For a wide range of applications, vertices in a network are …
Link PredictionNetwork EmbeddingWord AlignmentConstructing an Annotated Corpus of Verbal MWEs for English
This paper describes the construction and annotation of a corpus of verbal MWEs for English, as part of the PARSEME Shared Task 1.1 on automatic identification of verbal MWEs. The criteria for corpus selection, the categ…
Word AlignmentLanguageNet: Learning to Find Sense Relevant Example Sentences
In this paper, we present a system, LanguageNet, which can help second language learners to search for different meanings and usages of a word. We disambiguate word senses based on the pairs of an English word and its co…
Word AlignmentOrthographic Features for Bilingual Lexicon Induction
Recent embedding-based methods in bilingual lexicon induction show good results, but do not take advantage of orthographic features, such as edit distance, which can be helpful for pairs of related languages. This work e…
Bilingual Lexicon InductionMachine TranslationMultilingual Word EmbeddingsUnsupervised Machine Translation+2Using Word Vectors to Improve Word Alignments for Low Resource Machine Translation
We present a method for improving word alignments using word similarities. This method is based on encouraging common alignment links between semantically similar words. We use word vectors trained on monolingual data to…
Machine TranslationMorphological AnalysisTranslationWord AlignmentRead and Comprehend by Gated-Attention Reader with More Belief
Gated-Attention (GA) Reader has been effective for reading comprehension. GA Reader makes two assumptions: (1) a uni-directional attention that uses an input query to gate token encodings of a document; (2) encoding at t…
PositionReading ComprehensionWord Alignment