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This paper surveys some issues that arise in the study of the syntax and semantics of natural languages (NL's) and have potential relevance to the automatic recognition, parsing, and translation …...

AbstractTranslating technical texts may cause many problems concerning terminology, even for the professional technical translator. For this reason, tools such as terminological databases or termbanks have been introduced to support …...

A significant problem when translating Japanese dialogues into Ger- man is the missing information on number and definiteness in the Japanese analysis output. The integration of the search for such …...

We present a knowledge and context-based system for parsing and translating natu- ral language and evaluate it on sentences from the Wall Street Journal. Applying machine learning techniques, the system …...

One of the major problems when translating from Japanese into a European language such as German or English is to determine definiteness of noun phrases in order to choose the …...

This article reports on three cases of teaching translation or English as a foreign language using pre-editing tasks with a machine translation system. Trainee translators or English learners were asked …...

. The Language Translation Interface (LTI) is a prototype developed for the Aus- tralian Defence Organisation. The aim is provide a single, simple, interface to a variety of MT tools …...

We present a method for improving statistical machine translation perfor- mance by using linguistically motivated syntactic information. Our algo- rithm recursively decomposes source language sentences into syntactically simpler and shorter …...

The Data-Oriented Translation (DOT) model – originally proposed in (Poutsma, 1998, 2003) and based on Data-Oriented Parsing (DOP) (e.g. (Bod, Scha, & Sima’an, 2003)) – is best described as a …...

Probabilistic synchronous context-free grammar (PSCFG) translation models define weighted transduction rules that represent translation and reordering oper- ations via nonterminal symbols. In this work, we investigate the source of the …...

. This work is part of a large research project entitled "Oreillodule" aimed at developing tools for automatic speech recognition, translation, and synthesis for Arabic language. Our attention has mainly …...

. This paper concerns the translation of spoken English into Mandarin Chinese, paying particular attention to the emphatic/contrastive focus in WH- questions which is realised by means of phonological stress …...

Translation is an indispensable process for socioeconomic and cultural development in a multilingual society. The use of translation tools such as translation memories and machine translation systems can be beneficial …...

This paper presents a semi-supervised learn- ing framework for mining Chinese-English lexicons from large amount of Chinese Web pages. The issue is motivated by the ob- servation that many Chinese …...

This paper introduces a new statistical pre- processing model for Rule-Based Machine Translation (RBMT) systems. We train a Statistical Machine Translation (SMT) system using monolingual corpora. This model can transform …...

Post-editing (PE) is still a new activity for many translators. The lack of training, clear and consistent guidelines and inter- national standards may cause difficulties in the transition from translation …...

The paper presents EuroTermBank Ter- minology Add-in – an innovative multi- lingual terminology translation tool. This tool integrates the federated terminology of the currently over 100 EuroTermBank terminology resources in …...

Tree-based translation models, which ex- ploit the linguistic syntax of source lan- guage, usually separate decoding into two steps: parsing and translation. Although this separation makes tree-based decoding simple and …...

As tokenization is usually ambiguous for many natural languages such as Chinese and Korean, tokenization errors might po- tentially introduce translation mistakes for translation systems that rely on 1-best to- …...

Recognition and translation of named entities (NEs) are two current research topics with regard to the proliferation of electronic documents exchanged through the Internet. The need to assimilate these documents …...

In this paper, we present a method to em- ploy target-side syntactic contextual infor- mation in a Hierarchical Phrase-Based sys- tem. Our method uses Combinatory Cate- gorial Grammar (CCG) to …...

While it is generally accepted that many trans- lation phenomena are correlated with linguis- tic structures, employing linguistic syntax for translation has proven a highly non-trivial task. The key assumption …...

In this paper, we address the issue of ap- plying example-based machine transla- tion (EBMT) methods to overcome some of the difficulties encountered with stat- istical machine translation (SMT) tech- …...

In this article we investigate the translation of financial terms from English into German in the isolation of an ontology vocabulary. For this study we automatically built new domain-specific resources …...

The usefulness of a translated text for gist- ing purposes strongly depends on the over- all translation quality of the text, but espe- cially on the translation quality of the …...

WoNeF, an improved, extended and evaluated automatic French translation of WordNet Identifying the various possible meanings of each word of the vocabulary is a difficult problem that requires a lot …...

Short Messaging Service (SMS) has become a popular form of communication. While it is predominantly used for monolingual communication, it can be extremely useful for facilitating cross-lingual communication through statistical …...

Crowdsourcing is a viable mechanism for creating training data for machine trans- lation. It provides a low cost, fast turn- around way of processing large volumes of data. However, when …...

We introduce the problem of generation in distributional semantics: Given a distri- butional vector representing some mean- ing, how can we generate the phrase that best expresses that meaning? We …...

In forensics, mobile phones or handsets store potentially valuable information such as Contact lists, SMS Messages, or possibly emails and Calendar appoint- ments. However, navigating to this con- tent on …...

The quality and quantity of articles in each Wikipedia language varies greatly. Trans- lating from another Wikipedia is a natural way to add more content, but the trans- lation process …...

This paper presents an in-depth investiga- tion on integrating neural language models in translation systems. Scaling neural lan- guage models is a difficult task, but crucial for real-world applications. This …...

In this paper we present an approach to re- duce data sparsity problems when translat- ing from morphologically rich languages into less inflected languages by selectively stemming certain word types. …...

AbstractWe present an approach for learning to translate by exploiting cross-lingual link structure in multilingual document collections. We propose a new learning objective based on structured ramp loss, which learns …...

We present a computational analysis of three language varieties: native, advanced non-native, and translation. Our goal is to investigate the similarities and differ- ences between non-native language pro- ductions and …...

For many of the world’s languages, the Bible is the only significant bilingual, or even monolingual, text, making it a unique training re- source for tasks such as translation, named …...

This article presents the WAW Corpus, an interpreting corpus for English/Arabic, which can be used for teaching interpreters, studying the characteristics of interpreters’ work, as well as to train machine …...

AbstractThe performance of autoregressive models on natural language generation tasks has dramatically improved due to the adoption of deep, self-attentive architectures. However, these gains have come at the cost of …...

AbstractNon-autoregressive models generate target words in a parallel way, which achieve a faster decoding speed but at the sacrifice of translation accuracy. To remedy a flawed translation by non-autoregressive models, …...

AbstractLanguage recognition has been significantly advanced in recent years by means of modern machine learning methods such as deep learning and benchmarks with rich annotations. However, research is still limited …...

AbstractThe present study aims to compare three systems: a generic statistical machine translation (SMT), a generic neural machine translation (NMT) and a tailored-NMT system focusing on the English to Greek …...

AbstractCross-lingual Summarization (CLS) aims at producing a summary in the target language for an article in the source language. Traditional solutions employ a two-step approach, i.e. translate -> summarize or …...

AbstractSlot-filling, Translation, Intent classification, and Language identification, or STIL, is a newly-proposed task for multilingual Natural Language Understanding (NLU). By performing simultaneous slot filling and translation into a single output …...

AbstractDubbing has two shades; synchronisation constraints are applied only when the actor’s mouth is visible on screen, while the translation is unconstrained for off-screen dubbing. Consequently, different synchronisation requirements, and …...

AbstractWe propose a touch-based editing method for translation, which is more flexible than traditional keyboard-mouse-based translation postediting. This approach relies on touch actions that users perform to indicate translation errors. …...

AbstractThis paper contains the description for the submission of Karlsruhe Institute of Technology (KIT) for the multilingual TEDx translation task in the IWSLT 2021 evaluation campaign. Our main approach is …...

AbstractRecent studies show that the attention heads in Transformer are not equal. We relate this phenomenon to the imbalance training of multi-head attention and the model dependence on specific heads. …...

AbstractFast and reliable evaluation metrics are key to R&D progress. While traditional natural language generation metrics are fast, they are not very reliable. Conversely, new metrics based on large pretrained …...

AbstractWe propose a novel multitask learning method for diacritization which trains a model to both diacritize and translate. Our method addresses data sparsity by exploiting large, readily available bitext corpora. …...

AbstractThis paper addresses a deficiency in existing cross-lingual information retrieval (CLIR) datasets and provides a robust evaluation of CLIR systems’ disambiguation ability. CLIR is commonly tackled by combining translation and …...

AbstractThe plain X platform is a toolbox for multilingual adaptation, for video, audio, and text content. The software is a 4-in-1 tool, combining several steps in the adaptation process, i.e., …...

AbstractAvailability of the user reviews in vernacular languages is helpful for the users to get information regarding the products. Since most of the e-commerce websites allow the reviews in English …...

AbstractThis paper summarizes the results of our test suite evaluation with a main focus on morphology for the language pairs English to/from German. We look at the translation of morphologically …...

AbstractGeometric transformations including translation, rotation, and scaling are commonly used operations in image processing. Besides, some of them are successfully used in developing effective knowledge graph embedding (KGE). Inspired by …...

AbstractLarge language models (LLMs) and generative AI have emerged as the most important areas in the field of natural language processing (NLP). LLMs are considered to be a key component …...

AbstractRecent legislation of the “right to be forgotten” has led to the interest in machine unlearning, where the learned models are endowed with the function to forget information about specific …...

AbstractRecently, there has been a growing interest in pretraining models in the field of natural language processing. As opposed to training models from scratch, pretrained models have been shown to …...

AbstractThis paper presents a study on the effectiveness of various approaches for addressing the challenge of multilingual sentiment analysis in low-resource African languages. . The approaches evaluated in the study …...