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[PDF] Top 20 Multilingual word translation using auxiliary languages

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Multilingual word translation using auxiliary languages

Multilingual word translation using auxiliary languages

... that using all relevant auxiliary languages (CAT) increases performance significantly ...in languages pairs involving German ...of languages, thus, gains a lot from using other ... See full document

6

Multilingual Word Sense Disambiguation Using Wikipedia

Multilingual Word Sense Disambiguation Using Wikipedia

... a multilingual representa- tion for the monolingual dataset, we used Google Translate to translate the data from English into several other ...machine translation system is available for many ...the ... See full document

9

Cross Lingual Dependency Parsing with Unlabeled Auxiliary Languages

Cross Lingual Dependency Parsing with Unlabeled Auxiliary Languages

... contextualized word representations, for ex- ample, multilingual BERT (Devlin et ...unlabeled auxiliary languages even when the encoders are trained on top of multilingual ... See full document

11

Paraphrases as Foreign Languages in Multilingual Neural Machine Translation

Paraphrases as Foreign Languages in Multilingual Neural Machine Translation

... and translation. However, prior works only explore paraphrases at the word or phrase level , not at the sentence or corpus ...the word or phrase level, we use different translations of the whole ... See full document

10

A Multi Pairwise Extension of Procrustes Analysis for Multilingual Word Translation

A Multi Pairwise Extension of Procrustes Analysis for Multilingual Word Translation

... target languages. We note in passing that we can consider the word representation in the common space as a latent variable and the mapping matrices as unknown ... See full document

6

Multilingual Multimodal Machine Translation for Dravidian Languages utilizing Phonetic Transcription

Multilingual Multimodal Machine Translation for Dravidian Languages utilizing Phonetic Transcription

... Dravidian languages (as they do not have ...language using the OpenNMT tokenizer with segment alphabet op- tions for Tamil, Kannada, and ...Dravidian languages as well as from Dravidian ... See full document

8

Beyond Bilingual: Multi sense Word Embeddings using Multilingual Context

Beyond Bilingual: Multi sense Word Embeddings using Multilingual Context

... a word survives ...of languages under consideration ...tional languages due to several limitations (details in Section ...each word, leading to inefficient use of parameters, and unnecessary ... See full document

10

Word Sense Disambiguation with Multilingual Features

Word Sense Disambiguation with Multilingual Features

... multiple languages in order to generate a more robust and more effective vector-space representation that can be used for the task of word sense ...machine translation (MT) engine does not only ... See full document

10

Query Translation for Cross Language Information Retrieval using Multilingual Word Clusters

Query Translation for Cross Language Information Retrieval using Multilingual Word Clusters

... appropriate translation of the source lan- guage query has always been a difficult problem to ...of multilingual word clusters obtained from multilingual word ...use word ... See full document

11

WordNet Gloss Translation for Under resourced Languages using Multilingual Neural Machine Translation

WordNet Gloss Translation for Under resourced Languages using Multilingual Neural Machine Translation

... Indian languages under our study are writ- ten in different scripts, they must be converted to some common representation before training the MNMT to take advantage of closely related lan- guage ...a word ... See full document

7

Addressing word order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages

Addressing word order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages

... get languages either by using Byte Pair Encoding (BPE) as basic input representation units (Nguyen and Chiang, 2017) or character-level NMT sys- tem (Lee et ...of word order di- vergence and its ... See full document

6

Multilingual Lexicalized Constituency Parsing with Word Level Auxiliary Tasks

Multilingual Lexicalized Constituency Parsing with Word Level Auxiliary Tasks

... Djam´e Seddah, Reut Tsarfaty, Sandra K¨ubler, Marie Candito, Jinho D. Choi, Rich´ard Farkas, Jen- nifer Foster, Iakes Goenaga, Koldo Gojenola Gal- letebeitia, Yoav Goldberg, Spence Green, Nizar Habash, Marco Kuhlmann, ... See full document

6

Word Translation Prediction for Morphologically Rich Languages with Bilingual Neural Networks

Word Translation Prediction for Morphologically Rich Languages with Bilingual Neural Networks

... Predicting word translations in context It is standard practice in PSMT to use word- to-word translation probabilities as an additional phrase ...target word given its aligned source ... See full document

13

A Hybrid Morpheme Word Representation for Machine Translation of Morphologically Rich Languages

A Hybrid Morpheme Word Representation for Machine Translation of Morphologically Rich Languages

... the translation process, thus providing access to the information within the individual ...guages using a hybrid morpheme-word representa- tion where the basic unit of translation is the mor- ... See full document

10

Using Network Approaches to Enhance the Analysis of Cross Linguistic Polysemies

Using Network Approaches to Enhance the Analysis of Cross Linguistic Polysemies

... identical word forms in many different languages, such as, ...a word which was formerly used to express one of the concepts in a given language is henceforth used to express the other ...the ... See full document

6

Character Level Machine Translation Evaluation for Languages with Ambiguous Word Boundaries

Character Level Machine Translation Evaluation for Languages with Ambiguous Word Boundaries

... machine translation evaluation is important for a number of ...tomatic translation evaluation gives machine trans- lation researchers a cheap and reproducible way to guide their research and makes it ... See full document

9

Word Representation Models for Morphologically Rich Languages in Neural Machine Translation

Word Representation Models for Morphologically Rich Languages in Neural Machine Translation

... a word from its composite mor- ...morphs using affine transfor- mation, however this is unable to differentiate be- tween the compositional and non-compositional ...forming word representations from ... See full document

6

Querying Multi word Expressions Annotation with CQL

Querying Multi word Expressions Annotation with CQL

... The data for each of the languages is distributed in two files: .conllu and .parsemetsv. The first one contains morphosyntactic annotation in the CoNLL-U format 2 and the second one contains the MWE annotation in ... See full document

7

An Overview of Translation Science

An Overview of Translation Science

... its translation), multi-lingual (similar monolingual texts in source languages with no translations provided; texts are chosen according to set criteria); comparative (source and translated texts in one ... See full document

5

Accurate Cross lingual Projection between Count based Word Vectors by Exploiting Translatable Context Pairs

Accurate Cross lingual Projection between Count based Word Vectors by Exploiting Translatable Context Pairs

... based word vectors, our experiment demonstrated that the proposed method performs significantly better than strong baselines including neural net- ...count-based word vec- tors have a great advantage when ... See full document

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