Papers Word Translation
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Cross-Domain Bilingual Lexicon Induction via Pretrained Language Models
Bilingual Lexicon Induction (BLI) is generally based on common domain data to obtain monolingual word embedding, and by aligning the monolingual word embeddings to obtain the cross-lingual embeddings which are used to ge…
Bilingual Lexicon InductionWord EmbeddingsWord TranslationSemantic Pivots Enable Cross-Lingual Transfer in Large Language Models
Large language models (LLMs) demonstrate remarkable ability in cross-lingual tasks. Understanding how LLMs acquire this ability is crucial for their interpretability. To quantify the cross-lingual ability of LLMs accurat…
AttributeCross-Lingual TransferTranslationWord TranslationDeep Reasoning Translation via Reinforcement Learning
Recently, deep reasoning LLMs (e.g., OpenAI o1/o3 and DeepSeek-R1) have shown promising performance in various complex tasks. Free translation is an important and interesting task in the multilingual world, which require…
reinforcement-learningReinforcement LearningTranslationWord TranslationSeparating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers
A central question in multilingual language modeling is whether large language models (LLMs) develop a universal concept representation, disentangled from specific languages. In this paper, we address this question by an…
Language ModelingLanguage ModellingTranslationWord TranslationTowards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs
Translating text that contains entity names is a challenging task, as cultural-related references can vary significantly across languages. These variations may also be caused by transcreation, an adaptation process that …
Knowledge GraphsMachine TranslationRetrievalRetrieval-augmented Generation+3Optimizing Rare Word Accuracy in Direct Speech Translation with a Retrieval-and-Demonstration Approach
Direct speech translation (ST) models often struggle with rare words. Incorrect translation of these words can have severe consequences, impacting translation quality and user trust. While rare word translation is inhere…
In-Context LearningRetrievalSparse LearningSpeech-to-Text+2Improving Rare Word Translation With Dictionaries and Attention Masking
In machine translation, rare words continue to be a problem for the dominant encoder-decoder architecture, especially in low-resource and out-of-domain translation settings. Human translators solve this problem with mono…
DecoderMachine TranslationTranslationWord TranslationA Japanese-Chinese Parallel Corpus Using Crowdsourcing for Web Mining
Using crowdsourcing, we collected more than 10,000 URL pairs (parallel top page pairs) of bilingual websites that contain parallel documents and created a Japanese-Chinese parallel corpus of 4.6M sentence pairs from thes…
SentenceTranslationWord TranslationEnhancing Cross-lingual Sentence Embedding for Low-resource Languages with Word Alignment
The field of cross-lingual sentence embeddings has recently experienced significant advancements, but research concerning low-resource languages has lagged due to the scarcity of parallel corpora. This paper shows that c…
RetrievalSentenceSentence EmbeddingSentence-Embedding+4LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexicons
Data scarcity in low-resource languages can be addressed with word-to-word translations from labeled task data in high-resource languages using bilingual lexicons. However, bilingual lexicons often have limited lexical o…
Sentiment AnalysisTopic ClassificationTranslationWord TranslationSelf-Augmented In-Context Learning for Unsupervised Word Translation
Recent work has shown that, while large language models (LLMs) demonstrate strong word translation or bilingual lexicon induction (BLI) capabilities in few-shot setups, they still cannot match the performance of 'traditi…
Bilingual Lexicon InductionCross-Lingual Word EmbeddingsFew-Shot LearningIn-Context Learning+8Fingerspelling PoseNet: Enhancing Fingerspelling Translation with Pose-Based Transformer Models
We address the task of American Sign Language fingerspelling translation using videos in the wild. We exploit advances in more accurate hand pose estimation and propose a novel architecture that leverages the transformer…
DecoderHand Pose EstimationLanguage ModelingLanguage Modelling+4ProMap: Effective Bilingual Lexicon Induction via Language Model Prompting
Bilingual Lexicon Induction (BLI), where words are translated between two languages, is an important NLP task. While noticeable progress on BLI in rich resource languages using static word embeddings has been achieved. T…
Bilingual Lexicon InductionLanguage ModelingLanguage ModellingRe-Ranking+3On Bilingual Lexicon Induction with Large Language Models
Bilingual Lexicon Induction (BLI) is a core task in multilingual NLP that still, to a large extent, relies on calculating cross-lingual word representations. Inspired by the global paradigm shift in NLP towards Large Lan…
Bilingual Lexicon InductionCross-Lingual Word EmbeddingsFew-Shot LearningIn-Context Learning+7Tik-to-Tok: Translating Language Models One Token at a Time: An Embedding Initialization Strategy for Efficient Language Adaptation
Training monolingual language models for low and mid-resource languages is made challenging by limited and often inadequate pretraining data. In this study, we propose a novel model conversion strategy to address this is…
Word TranslationMedia of Langue: The Interface for Exploring Word Translation Network/Space
In the human activity of word translation, two languages face each other, mutually searching their own language system for the semantic place of words in the other language. We discover the huge network formed by the cha…
TranslationWord TranslationUniversal Language Modelling agent
Large Language Models are designed to understand complex Human Language. Yet, Understanding of animal language has long intrigued researchers striving to bridge the communication gap between humans and other species. Thi…
Language ModellingWord TranslationA European and Brazilian cross-national investigation into the Portuguese translation of soundscape perceptual attributes within the SATP project
This paper presents a cross-national investigation into the soundscape perceptual attributes translation from English into European and Brazilian Portuguese. It is a study within the scope of a larger project – the Sound…
Audio Emotion RecognitionSoundscape evaluationTranslationWord TranslationTransDocs: Optical Character Recognition with word to word translation
While OCR has been used in various applications, its output is not always accurate, leading to misfit words. This research work focuses on improving the optical character recognition (OCR) with ML techniques with integra…
Deep LearningDocument TranslationMachine TranslationOptical Character Recognition+3PEACH: Pre-Training Sequence-to-Sequence Multilingual Models for Translation with Semi-Supervised Pseudo-Parallel Document Generation
Multilingual pre-training significantly improves many multilingual NLP tasks, including machine translation. Most existing methods are based on some variants of masked language modeling and text-denoising objectives on m…
DenoisingLanguage ModelingLanguage ModellingMachine Translation+5