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The Pangloss Example-Based Machine Translation engine (I'anEI3MT) l is a translation system reql,iring essentially no knowledge of the structure of a lan- guage, merely a large parallel corpus of example …...

This paper presents a new model for word align- ments between parallel sentences, which allows one ~o accurately estimate different parameters, in a computationally efficient way. An applica- tion of …...

STRAND (Resnik, 1998) is a language- independent system for automatic discovery of text in parallel translation on the World Wide Web. This paper extends the prelim- inary STRAND results by …...

A major obstacle to the construction of a probabilis- tic translation model is the lack of large parallel cor- pora. In this paper we first describe a parallel text mining …...

This paper reports on work carried out to de- velop a spelling and grammar corrector for Dan- ish, addressing in particular the issue of how a form of shallow parsing …...

We propose an algorithm for the automatic acquisition of a bilingual lexicon in the legal domain. We make use of a parallel corpus of bilingual court judgments, aligned to the …...

In this paper, we describe an algorithm that employs syntactic and statistical analysis to extract bilingual collocations from a parallel corpus. The preferred syntactic patterns are obtained from idioms and …...

This paper presents an unsupervised learn- ing approach to building a non-English (Arabic) stemmer. The stemming model is based on statistical machine translation and it uses an English stemmer and …...

. In this paper, we propose a new method for bilingual collocation extraction from a parallel corpus to provide phrasal translation memory. The method integrates statistical and linguistic information for …...

This paper proposes a method of extracting English multi-word named entities and their Japanese equivalents from a parallel corpus. The aim of our research is to extract multi-word named entities …...

For the translation of text and speech, statistical methods on one side and interlingua based methods on the other have been used successfully. However, the former requires programming grammars for …...

In this work we propose a transla- tion model for monolingual sentence retrieval. We propose four methods for constructing a parallel corpus. Of the four methods proposed, a lexi- con …...

This paper proposes a statistical, tree- to-tree model for producing translations. Two main contributions are as follows: (1) a method for the extraction of syn- tactic structures with alignment informa- …...

AbstractKB-N is a web-accessible searchable Knowledge Bank comprising A) a parallel corpus of quality assured and calibrated English and Norwegian text drawn from economic-administrative knowledge domains, and B) a domain-focused …...

We present a new method for learning to parse a bilingual sentence using Inversion Transduction Grammar trained on a parallel corpus and a monolingual treebank. The method produces a parse …...

Given a parallel corpus, semantic projec- tion attempts to transfer semantic role an- notations from one language to another, typically by exploiting word alignments. In this paper, we present an …...

In statistical machine translation, an align- ment defines a mapping between the words in the source and in the target sen- tence. Alignments are used, on the one hand, to …...

It is possible to reduce the bulk of phrase- tables for Statistical Machine Translation us- ing a technique based on the significance testing of phrase pair co-occurrence in the parallel …...

This paper explores methods for generating subjectivity analysis resources in a new lan- guage by leveraging on the tools and re- sources available in English. Given a bridge between English …...

. The parallel corpus is an important resource in the research field of data-driven natural language processing, but there are only a few parallel corpora publicly available nowadays, mostly due …...

We introduce a new method for automatically disambiguation of word translations by using dependency relationships. In our approach, we learn the relationships between translations and dependency relationships from a parallel …...

To realize high quality machine transla- tion, we proposed a Non-Compositional Language Model, and developed a sen- tence pattern dictionary of 226,800 pat- tern pairs for Japanese compound and complex …...

Automatic processing of medical dictations poses a significant challenge. We approach the problem by introducing a statistical frame- work capable of identifying types and bound- aries of sections, lists and …...

This paper investigates the idea of adapt- ing language models for phrases that have poor translation quality. We apply a se- lective adaptation criterion which uses a classifier to locate …...

We present a Hebrew to English transliter- ation method in the context of a machine translation system. Our method uses ma- chine learning to determine which terms are to be …...

Training a statistical machine translation starts with tokenizing a parallel corpus. Some languages such as Chinese do not in- corporate spacing in their writing system, which creates a challenge for …...

AbstractWe describe the compilation of a large corpus of French-Dutch sentence pairs from official Belgian documents which are available in the online version of the publication Belgisch Staatsblad/Moniteur belge, and …...

AbstractAn increasing demand for new language resources of recent EU members and accessing countries has in turn initiated the development of different language tools and resources, such as alignment tools …...

AbstractThis paper deals with translation of English documents to Oromo using statistical methods. Whereas English is the lingua franca of online information, Oromo, despite its relative wide distribution within Ethiopia …...

The research question treated in this paper is centered on the idea of exploiting rich re- sources of one language to enhance the per- formance of a mention detection system …...

AbstractCzEng 0.9 is the third release of a large parallel corpus of Czech and English. For the current release, CzEng was extended by significant amount of texts from various types …...

The quality of a statistical machine transla- tion (SMT) system is heavily dependent upon the amount of parallel sentences used in train- ing. In recent years, there have been several …...

Generating expository dialogue from mono- logue is a task that poses an interesting and re- warding challenge for Natural Language Pro- cessing. This short paper has three aims: firstly, to …...

AbstractWe present our efforts to create a large-scale, semi-automatically annotated parallel corpus of cleft constructions. The corpus is intended to reduce or make more effective the manual task of finding …...

Preordering of source side sentences has proved to be useful in improving statistical machine translation. Most work has used a parser in the source language along with rules to map …...

When translating among languages that differ substantially in word order, machine transla- tion (MT) systems benefit from syntactic pre- ordering—an approach that uses features from a syntactic parse to permute …...

We propose the creation and use of a mul- tilingual parallel news corpus annotated with opinion towards entities, produced by projecting sentiment annotation from one language to several others. The …...

Recent work has shown how a parallel corpus can be leveraged to build syntac- tic parser for a target language by project- ing automatic source parse onto the target sentence …...

We introduce a discriminatively trained, glob- ally normalized, log-linear variant of the lex- ical translation models proposed by Brown et al. (1993). In our model, arbitrary, non- independent features may …...

AbstractIn this paper, we introduce a novel parallel corpus of music and lyrics, annotated with emotions at line level. We first describe the corpus, consisting of 100 popular songs, each …...

AbstractTo stimulate research in cross-language entity linking, we present a new test collection for evaluating the accuracy of cross-language entity linking in twenty-one languages. This paper describes an efficient way …...

Given a parallel corpus, if two distinct words in language A, a1 and a2, are aligned to the same word b1 in language B, then this might signal that b1 …...

AbstractStatistical machine translation (SMT) requires a parallel corpus between the source and target languages. Although a pivot-translation approach can be applied to a language pair that does not have a …...

AbstractSubtitling and audiovisual translation have been recognized as areas that could greatly benefit from the introduction of Statistical Machine Translation (SMT) followed by post-editing, in order to increase efficiency of …...

In this paper, we propose a method for translating a given verb-noun collocation based on a parallel corpus and an additional monolingual corpus. Our approach involves two models to generate …...

This paper presents a hybrid model for han- dling out-of-vocabulary words in Japanese- to-English statistical machine translation output by exploiting parallel corpus. As the Japanese writing system makes use of …...

Compared to the edited genres that have played a central role in NLP research, mi- croblog texts use a more informal register with nonstandard lexical items, abbreviations, and free orthographic …...

We propose a pre-reordering scheme to improve the quality of machine translation by permuting the words of a source sen- tence to a target-like order. This is accom- plished as …...

AbstractWe describe a “distant annotation” method where we mark up the semantic tense, event type, and modality of Chinese events via a word-aligned parallel corpus. We first map Chinese verbs …...

We present a cross-lingual discourse relation analysis based on a parallel corpus with discourse information available only for one language. First, we conduct a corpus study to explore dif- ferences …...

ion for Long-Distance Reordering in Statistical Machine Translation Chenchen Ding Department of Computer Science University of Tsukuba 1-1-1 Tennodai, Tsukuba, Ibaraki , Japan tei@mibel.cs.tsukuba.ac.jp Yuki Arase Microsoft Research No. 5 …...

AbstractDocumentation of communicative behaviour across languages seems at a crossroads. While methods for collecting data on spoken or written communication, backed up by computational techniques, are evolving, the actual data …...

AbstractNew annotation guidelines and new processing methods were developed to accommodate English treebank annotation of a parallel English/Chinese corpus of web data that includes alternate English translations (one fluent, one …...

AbstractRecent years have seen an increased interest in and availability of parallel corpora. Large corpora from international organizations (e.g. European Union, United Nations, European Patent Office), or from multilingual Internet …...

Phrase reordering is a challenge for statis- tical machine translation systems. Posing phrase movements as a prediction prob- lem using contextual features modeled by maximum entropy-based classifier is su- perior …...

AbstractThis paper presents an approach of automatic annotation of sentences with dependency structures. The approach builds on the idea of cross-lingual dependency projection. The presented method of acquiring dependency trees …...

AbstractWhen producing textual descriptions, humans express propositions regarding an object; but what do they express when annotating a document with simple tags? To answer this question, we have studied what …...

AbstractThis paper presents the AMARA corpus of on-line educational content: a new parallel corpus of educational video subtitles, multilingually aligned for 20 languages, i.e. 20 monolingual corpora and 190 parallel …...

This paper describes a corpus-based contrastive study of collocation in English and Chinese. In light of the corpus-based approach to identify functionally equivalent units, the present paper attempts to identify …...

We introduce a new approach to argumen- tation mining that we applied to a parallel German/English corpus of short texts an- notated with argumentation structure. We focus on structure prediction, …...

Translated texts (in any language) are so markedly different from original ones that text classification techniques can be used to tease them apart. Previous work has shown that awareness to …...

This paper presents a method for cleaning and evaluating parallel corpora using word alignments and machine learning algorithms. It is based on the assumption that parallel sentences have many word …...

AbstractIn this paper we describe our work in building an online tool for manually annotating texts in any spoken language with SignWriting in any sign language. The existence of such …...

AbstractIn this paper, a novel approach is proposed to automatically construct parallel discourse corpus for dialogue machine translation. Firstly, the parallel subtitle data and its corresponding monolingual movie script data …...

AbstractWe present experiments in incrementally learning a dependency parser. The parser will be used in the WordsEye Linguistics Tools (WELT) (Ulinski et al., 2014) which supports field linguists documenting a …...

AbstractThis work focuses on the development of linguistic analysis tools for resource-poor languages. We use a parallel corpus to produce a multilingual word representation based only on sentence level alignment. …...

AbstractThe overarching objective underlying this research is to develop an online tool, based on a parallel corpus of French Belgian Sign Language (LSFB) and written Belgian French. This tool is …...

This paper explores the task of translating nat- ural language queries into regular expressions which embody their meaning. In contrast to prior work, the proposed neural model does not utilize …...

AbstractSentence compression is a way to perform text simplification and is usually handled in a monolingual setting. In this paper, we study ways to extend sentence compression in a bilingual …...

AbstractThe biomedical scientific literature is a rich source of information not only in the English language, for which it is more abundant, but also in other languages, such as Portuguese, …...

AbstractIn this paper, we address the problem of Machine Translation (MT) for a specialised domain in a language pair for which only a very small domain-specific parallel corpus is available. …...

AbstractIn this paper, we present the first attempts to develop a machine translation (MT) system between Spanish and Shipibo-konibo (es-shp). There are very few digital texts written in Shipibo-konibo and …...

AbstractCross-lingual text classification(CLTC) is the task of classifying documents written in different languages into the same taxonomy of categories. This paper presents a novel approach to CLTC that builds on …...

AbstractIn this paper, we address the problem of generating English tag questions (TQs) (e.g. it is, isn’t it?) in Machine Translation (MT). We propose a post-edition solution, formulating the problem …...

The Scielo database is an important source of scientific information in Latin America, containing articles from several research domains. A striking characteristic of Scielo is that many of its full-text …...

Much work has been done on machine translation between major language pairs including Arabic–English and English–Japanese thanks to the availability of large-scale parallel corpora with manually verified subsets of parallel …...

This paper presents the first findings of our recently started project of building a new lexical resource called CzEngClass, which consists of bilingual verbal synonym groups. In order to create …...

We present a new Japanese crowdsourced data set of simplified sentences created from more complex ones. Our simplicity standard involves all rewritable words in the simplified sentences being drawn from …...

Semantic parsing offers many opportunities to improve natural language understanding. We present a semantically annotated parallel corpus for English, German, Italian, and Dutch where sentences are aligned with scoped meaning …...

We compare manual and automatic approaches to the problem of extracting bitexts from the Web in the framework of a case study on building a Russian-Kazakh parallel corpus. Our findings …...

AbstractTranslation-based methods for grammar correction that directly map noisy, ungrammatical text to their clean counterparts are able to correct a broad range of errors; however, such techniques are bottlenecked by …...

This article presents multimodal and parallel data collections in Mboshi, as part of the French-German BULB project. It aims at supporting documentation and providing digital resources for less resourced languages …...

In this paper, we describe a parallel corpus annotated with full coreference chains that has been created to address an important problem that machine translation and other multilingual natural language …...

AbstractNeural encoder-decoder models of machine translation have achieved impressive results, while learning linguistic knowledge of both the source and target languages in an implicit end-to-end manner. We propose a framework …...

AbstractSequence to sequence (SEQ2SEQ) models lack diversity in their generated translations. This can be attributed to their limitations in capturing lexical and syntactic variations in parallel corpora, due to different …...

AbstractTo deploy a spoken language understanding (SLU) model to a new language, language transferring is desired to avoid the trouble of acquiring and labeling a new big SLU corpus. An …...

We present the IIT Bombay English-Hindi Parallel Corpus. The corpus is a compilation of parallel corpora previously available in the public domain as well as new parallel corpora we collected. …...

In this paper, we present two resources that were created as part of the Multi Arabic Dialect Applications and Resources (MADAR) project. The first is a large parallel corpus of …...

The present work describes a multilingual corpus of online content in the educational domain, i.e. Massive Open Online Course material, ranging from course forum text to subtitles of online video …...

The European "Tenders Electronic Daily" (TED) is a large source of semi-structured and multilingual data that is very valuable to the Natural Language Processing community. This data sets can effectively …...

AbstractIn a pipeline speech translation system, automatic speech recognition (ASR) system will transmit errors in recognition to the downstream machine translation (MT) system. A standard machine translation system is usually …...

AbstractCross-lingual word vectors are typically obtained by fitting an orthogonal matrix that maps the entries of a bilingual dictionary from a source to a target vector space. Word vectors, however, …...

AbstractCombinatory categorial grammars are linguistically motivated and useful for semantic parsing, but costly to acquire in a supervised way and difficult to acquire in an unsupervised way. We propose an …...

AbstractText style transfer rephrases a text from a source style (e.g., informal) to a target style (e.g., formal) while keeping its original meaning. Despite the success existing works have achieved …...

AbstractActive learning is an efficient approach for mitigating data dependency when training neural machine translation (NMT) models. In this paper, we explore new training frameworks by incorporating active learning into …...

AbstractIn this paper, we present a new parallel corpus addressed to researchers, teachers, and speech therapists interested in text simplification as a means of alleviating difficulties in children learning to …...

AbstractThis article deals with elaborating a data base of alignments of parallel Franch-LSF segments. This data base is meant to be searched using a concordancer which we are also designing. …...

AbstractThis paper illustrates our approach to the shared task on similar language translation in the fifth conference on machine translation (WMT-20). Our motivation comes from the latest state of the …...

This study conducted an experiment to com- pare the word embeddings of a compound word and a word in Japanese on the same vec- tor space using bilingual word embeddings. …...

AbstractRecent neural network models have achieved impressive performance on sentiment classification in English as well as other languages. Their success heavily depends on the availability of a large amount of …...

AbstractIn this paper, we deal with two problems in Japanese-English machine translation of news articles. The first problem is the quality of parallel corpora. Neural machine translation (NMT) systems suffer …...

AbstractWe performed a detailed error analysis in domain-specific neural machine translation (NMT) for the English and Japanese language pair with fine-grained manual annotation. Despite its importance for advancing NMT technologies, …...

AbstractLiterary tropes, from poetry to stories, are at the crux of human imagination and communication. Figurative language such as a simile go beyond plain expressions to give readers new insights …...

AbstractModern dialog managers face the challenge of having to fulfill human-level conversational skills as part of common user expectations, including but not limited to discourse with no clear objective. Along …...

AbstractDespite being the seventh most widely spoken language in the world, Bengali has received much less attention in machine translation literature due to being low in resources. Most publicly available …...

AbstractThe Google Patents is one of the main important sources of patents information. A striking characteristic is that many of its abstracts are presented in more than one language, thus …...

AbstractIn this paper, a tool specifically designed to allow for complex searches in large parallel corpora is presented. The formalism for the queries is very powerful as it uses standard …...

AbstractRecent advances in neural machine translation (NMT) have pushed the quality of machine translation systems to the point where they are becoming widely adopted to build competitive systems. However, there …...

AbstractAimed at generating a seed lexicon for use in downstream natural language tasks and unsupervised methods for bilingual lexicon induction have received much attention in the academic literature recently. While …...

AbstractFraming involves the positive or negative presentation of an argument or issue depending on the audience and goal of the speaker. Differences in lexical framing, the focus of our work, …...

AbstractSince language models are used to model a wide variety of languages, it is natural to ask whether the neural architectures used for the task have inductive biases towards modeling …...

AbstractExposure bias and poor translation diversity are two common problems in neural machine trans-lation (NMT) which are caused by the general of the teacher forcing strategy for training inthe NMT …...

AbstractCode-mixing has become a moving method of communication among multilingual speakers. Most of the social media content of the multilingual societies are written in code-mixed text. However, most of the …...

AbstractDeletion-based sentence compression in the English language has made significant progress over the past few decades. However, there is a lack of large-scale and high-quality parallel corpus (i.e., (sentence, compression) …...

AbstractMorphologically-rich polysynthetic languages present a challenge for NLP systems due to data sparsity, and a common strategy to handle this issue is to apply subword segmentation. We investigate a wide …...

AbstractEmotion detection can provide us with a window into understanding human behavior. Due to the complex dynamics of human emotions, however, constructing annotated datasets to train automated models can be …...

AbstractAutomatic post-editing (APE) refers to a research field that aims to automatically correct errors included in the translation sentences derived by the machine translation system. This study has several limitations, …...

AbstractIn this paper, we describe the creation and annotation of EPIC UdS, a multilingual corpus of simultaneous interpreting for English, German and Spanish. We give an overview of the comparable …...

AbstractThis paper describes Amazon Alexa AI’s implementation for the IWSLT 2022 shared task on formality control. We focus on the unconstrained and supervised task for en→hi (Hindi) and en→ja (Japanese) …...

AbstractWe present an extension of the SynSemClass Event-type Ontology, originally conceived as a bilingual Czech-English resource. We added German entries to the classes representing the concepts of the ontology. Having …...

AbstractWe present the Hindi-Telugu Parallel Corpus of different technical domains such as Natural Science, Computer Science, Law and Healthcare along with the General domain. The qualitative corpus consists of 700K …...

AbstractThis paper proposes a method to develop a machine translation (MT) system from Myanmar Sign Language (MSL) to Myanmar Written Language (MWL) and vice versa for the deaf community. Translation …...

AbstractGood quality training data for Sign Language Machine Translation (SLMT) is extremely scarce, and this is one of the challenges that any project focusing on Machine Translation (MT) which also …...

AbstractThis article presents a system to generate Arab music improvisation using machine translation. To reach this goal, we developed a machine translation model to translate a vocal improvisation into an …...

AbstractThis work presents an unsupervised method of selecting filters and threshold values for the OpusFilter parallel corpus cleaning toolbox. The method clusters sentence pairs into noisy and clean categories and …...