Papers Word Alignment
“Word Alignment” 태그가 달린 논문 564편 · 필터 해제
Scaling Unsupervised Word Alignment to Documents via Structural Constraints
Word alignment has traditionally been studied between sentences, but many cross-lingual tasks increasingly require correspondences across full documents. While recent multilingual embedding models can encode long inputs,…
Word AlignmentOmniAlign: A Unified Multilingual Aligner for Word and Sentence Alignment
Cross-lingual sequence alignment is fundamental for building and exploiting parallel corpora, spanning mappings from documents and sentences down to words and subwords. Existing tools, however, typically specialize in a …
Long-Context UnderstandingSelf-Supervised LearningWord AlignmentText Style Transfer with Machine Translation for Graphic Designs
Globalization of graphic designs such as those used in marketing materials and magazines is increasingly important for communication to broad audiences. To accomplish this, the textual content in the graphic designs need…
Text Style TransferMachine TranslationWord AlignmentWord Alignment-Based Evaluation of Uniform Meaning Representations
Comparison and evaluation of graph-based representations of sentence meaning is a challenge because competing representations of the same sentence may have different number of nodes, and it is not obvious which nodes sho…
Word AlignmentMending the Holes: Mitigating Reward Hacking in Reinforcement Learning for Multilingual Translation
Large Language Models (LLMs) have demonstrated remarkable capability in machine translation on high-resource language pairs, yet their performance on low-resource translation still lags behind. Existing post-training met…
Reinforcement LearningMachine TranslationWord AlignmentEPIC-EuroParl-UdS: Information-Theoretic Perspectives on Translation and Interpreting
This paper introduces an updated and combined version of the bidirectional English-German EPIC-UdS (spoken) and EuroParl-UdS (written) corpora containing original European Parliament speeches as well as their translation…
Machine TranslationWord AlignmentA Holistic Framework for Robust Bangla ASR and Speaker Diarization with Optimized VAD and CTC Alignment
Despite being one of the most widely spoken languages globally, Bangla remains a low-resource language in the field of Natural Language Processing (NLP). Mainstream Automatic Speech Recognition (ASR) and Speaker Diarizat…
Speaker DiarizationSpeech RecognitionActivity DetectionWord AlignmentCrowdsourcing Piedmontese to Test LLMs on Non-Standard Orthography
We present a crowdsourced dataset for Piedmontese, an endangered Romance language of northwestern Italy. The dataset comprises 145 Italian-Piedmontese parallel sentences derived from Flores+, with translations produced b…
Machine TranslationWord AlignmentUnsupervised Cross-Lingual Part-of-Speech Tagging with Monolingual Corpora Only
Due to the scarcity of part-of-speech annotated data, existing studies on low-resource languages typically adopt unsupervised approaches for POS tagging. Among these, POS tag projection with word alignment method transfe…
Part-Of-Speech TaggingMachine TranslationWord AlignmentPOS TaggingEncode Once, Decode Never: Reusing Audio LM Internals for Efficient Temporal Localization
Audio language models process input audio into rich frame-level representations, but the standard approach to temporal localization generates timestamps as sequences of text tokens, which discards the frame-level represe…
Speaker DiarizationWord Alignmentasr_eval: Algorithms and tools for multi-reference and streaming speech recognition evaluation
We propose several improvements to the speech recognition evaluation. First, we propose a string alignment algorithm that supports both multi-reference labeling, arbitrary-length insertions and better word alignment. Thi…
Speech RecognitionWord AlignmentThinking With Bounding Boxes: Enhancing Spatio-Temporal Video Grounding via Reinforcement Fine-Tuning
Spatio-temporal video grounding (STVG) requires localizing a target object in untrimmed videos both temporally and spatially from natural language descriptions. Despite their strong language understanding, multimodal lar…
Spatio-Temporal Video GroundingWord AlignmentThe Arabic Generality Score: Another Dimension of Modeling Arabic Dialectness
Arabic dialects form a diverse continuum, yet NLP models often treat them as discrete categories. Recent work addresses this issue by modeling dialectness as a continuous variable, notably through the Arabic Level of Dia…
Word AlignmentAre Knowledge and Reference in Multilingual Language Models Cross-Lingually Consistent?
Cross-lingual consistency should be considered to assess cross-lingual transferability, maintain the factuality of the model knowledge across languages, and preserve the parity of language model performance. We are thus …
Word AlignmentThe Devil Is in the Word Alignment Details: On Translation-Based Cross-Lingual Transfer for Token Classification Tasks
Translation-based strategies for cross-lingual transfer XLT such as translate-train -- training on noisy target language data translated from the source language -- and translate-test -- evaluating on noisy source langua…
Cross-Lingual Transfertoken-classificationToken ClassificationTranslation+1Large Language Models Often Say One Thing and Do Another
As large language models (LLMs) increasingly become central to various applications and interact with diverse user populations, ensuring their reliable and consistent performance is becoming more important. This paper ex…
Word AlignmentTarget word activity detector: An approach to obtain ASR word boundaries without lexicon
Obtaining word timestamp information from end-to-end (E2E) ASR models remains challenging due to the lack of explicit time alignment during training. This issue is further complicated in multilingual models. Existing met…
Word AlignmentWord EmbeddingsBinaryAlign: Word Alignment as Binary Sequence Labeling
Real world deployments of word alignment are almost certain to cover both high and low resource languages. However, the state-of-the-art for this task recommends a different model class depending on the availability of g…
Word AlignmentCross-Lingual Word Alignment for ASEAN Languages with Contrastive Learning
Cross-lingual word alignment plays a crucial role in various natural language processing tasks, particularly for low-resource languages. Recent study proposes a BiLSTM-based encoder-decoder model that outperforms pre-tra…
Contrastive LearningDecoderWord AlignmentWord EmbeddingsTradition or Innovation: A Comparison of Modern ASR Methods for Forced Alignment
Forced alignment (FA) plays a key role in speech research through the automatic time alignment of speech signals with corresponding text transcriptions. Despite the move towards end-to-end architectures for speech techno…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)speech-recognitionSpeech Recognition+1