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[PDF] Top 20 Combining Source and Target Language Information for Name Tagging of Machine Translation Output

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Combining Source and Target Language Information for Name Tagging of Machine Translation Output

Combining Source and Target Language Information for Name Tagging of Machine Translation Output

... entity translation dictionary from a bilingual corpus while concurrently improving the named entity annotation ...the name pairs with higher alignment probability and treat them as global information ... See full document

6

The TALP UPC Machine Translation Systems for WMT18 News Shared Translation Task

The TALP UPC Machine Translation Systems for WMT18 News Shared Translation Task

... Finnic language family and are similar to each other, we aimed at combining the individual parallel corpora (En - Fi and En - Es) into a single larger ...the translation directions where English is ... See full document

6

Improving Statistical Machine Translation through co joining parts of verbal constructs in English Hindi translation

Improving Statistical Machine Translation through co joining parts of verbal constructs in English Hindi translation

... POS information for SMT to morphologically richer ...the source language while the approach proposed here attempts transformations on both source and target laguage ...Mutual ... See full document

7

Evaluating Layers of Representation in Neural Machine Translation on Part of Speech and Semantic Tagging Tasks

Evaluating Layers of Representation in Neural Machine Translation on Part of Speech and Semantic Tagging Tasks

... neural machine translation (NMT) models provide improved translation qual- ity in an elegant framework, it is less clear what they learn about ...the target language on ... See full document

10

A Tagging style Reordering Model for Phrase based SMT

A Tagging style Reordering Model for Phrase based SMT

... statistical machine translation system, reordering is still a major problem for language pairs like Chinese-English, where the source and target language have significant word ... See full document

10

Self Attentive Residual Decoder for Neural Machine Translation

Self Attentive Residual Decoder for Neural Machine Translation

... relevant source-side contextual infor- mation at each time-step prediction through an attention ...the target-side context is solely based on the sequence model which, in practice, is prone to a recency ... See full document

14

Source-Language Dictionaries Help Non-Expert Users to Enlarge Target-Language Dictionaries for Machine Translation

Source-Language Dictionaries Help Non-Expert Users to Enlarge Target-Language Dictionaries for Machine Translation

... Similar approaches to ours can be divided in two groups: approaches which elicit the linguistic knowledge from users, and those which extract it from other resources. Knowledge elicitation. Two of the more prominent ... See full document

8

A Direct Syntax Driven Reordering Model for Phrase Based Machine Translation

A Direct Syntax Driven Reordering Model for Phrase Based Machine Translation

... machine translation. Reordering models address the problem of reordering source lan- guage into the word order of the target ...word information but very little context ... See full document

9

English to Telugu Rule based Machine Translation System: A Hybrid Approach

English to Telugu Rule based Machine Translation System: A Hybrid Approach

... convey information and through which people ...foreign language to a language that one can understand ...Natural language processing (NLP) is a branch of Artificial Intelligence that focuses ... See full document

6

Android Application Development for Syllable Based Tamil Text To Speech Synthesizer

Android Application Development for Syllable Based Tamil Text To Speech Synthesizer

... Natural language processing is a field that lies at the intersection between artificial intelligence and ...natural language and hence derive meaning from natural language ...on language ... See full document

5

Proper Name Machine Translation from Japanese to Japanese Sign Language

Proper Name Machine Translation from Japanese to Japanese Sign Language

... describes machine transla- tion of proper names from Japanese to Japanese Sign Language ...“Proper name transliteration” is a kind of machine translation of proper names between spo- ... See full document

9

Translation strategies used by Iranian translators in translation of idioms for movie subtitles: The case of Forrest Gump movie

Translation strategies used by Iranian translators in translation of idioms for movie subtitles: The case of Forrest Gump movie

... good translation gives to audience the same conception as what native audience gets from the ...that translation is not just decoding and encoding symbols into another language, but it is a process ... See full document

8

Adapting Translation Models to Translationese Improves SMT

Adapting Translation Models to Translationese Improves SMT

... whose source is original texts, and whose target is trans- lationese) to have more unique source phrases and a lower number of translations per source ...unique source phrases suggests ... See full document

11

Proper Name Translation in Cross Language Information Retrieval

Proper Name Translation in Cross Language Information Retrieval

... This paper deals with query translation issue in cross-language information retrieval, proper names in particular.. Models for name identification, name translation and name searching ar[r] ... See full document

5

Identifying Semantics in Clinical Reports Using Neural Machine Translation

Identifying Semantics in Clinical Reports Using Neural Machine Translation

... There is an extensive amount of research to identify clini- cal entities and the relationship between these entities (Raja, Subramani, and Natarajan 2013), (Rak et al. 2012). Authors (Wei 2017) proposed a mechanism to ... See full document

6

Name aware Machine Translation

Name aware Machine Translation

... a name-aware MT framework which tightly integrates name tagging and name translation into training and decoding of ...Chinese-English translation demon- strated the effectiveness ... See full document

11

QuickEdit: Editing Text & Translations by Crossing Words Out

QuickEdit: Editing Text & Translations by Crossing Words Out

... This work proposes QuickEdit, a neural sequence to sequence model that allows one to edit text by simply requesting few initial tokens to be changed. From a marked sentence, the model can gener- ate an edited sentence ... See full document

11

Target Foresight Based Attention for Neural Machine Translation

Target Foresight Based Attention for Neural Machine Translation

... neural machine translation, an attention model is used to identify the aligned source words for a target word target foresight word in order to select translation con- text, but ... See full document

11

Learning Continuous Phrase Representations for Translation Modeling

Learning Continuous Phrase Representations for Translation Modeling

... the source and the target lan- guages, would tend to have similar (close) feature vectors in the continuous space, guided by the training ...the translation score is a smooth function of these ... See full document

11

Translation: The Process of Success and Failure in the Transformation of the Target Language into the Source Language

Translation: The Process of Success and Failure in the Transformation of the Target Language into the Source Language

... another language. It is an expression in another language which is creative and meaningful rewriting and subsuming activities such as paraphrasing, reviewing, commenting ...of translation is based on ... See full document

6

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